---
title: "Who cites Abhishek Kadian — page 8 — 7,851 citing papers"
description: "7,851 papers of the Elamur Research library cite the works of Abhishek Kadian, found in their bibliographies · page 8 of 18 · 701–800; the…"
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---
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# Who cites Abhishek Kadian

7,894 citations of their works from 7,851 papers of our library (of the 149,439 whose bibliographies we read) · 1,738 with a page here, the most cited first · page 8 of 18 · 701–800 · [← Abhishek Kadian](https://md.research.elamur.ai/free/en/authors/abhishek-kadian/)

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701. **[Adam's Law: Textual Frequency Law on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-adam-s-law-textual-frequency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongyuan Lu, Zixuan Li, Zefan Zhang, et al.*2026 · 2 citations*
702. **[AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playing](https://md.research.elamur.ai/free/en/papers/xu-2026-adamarp-adaptive-multi-agent-interaction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhua Xu, Dongsheng Chen, Shuo Wang, et al.*2026 · 2 citations*
703. **[Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition](https://md.research.elamur.ai/free/en/papers/xu-2026-adaptive-llm-symbolic-reasoning-dynamic/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Lei Xu, Pierre Beckmann, Marco Valentino, et al.*2026 · 2 citations*
704. **[AITutor-EvalKit: Exploring the Capabilities of AI Tutors](https://md.research.elamur.ai/free/en/papers/naeem-2026-aitutor-evalkit-exploring-capabilities-ai/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova, et al.*2026 · 2 citations*
705. **[ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs](https://md.research.elamur.ai/free/en/papers/vieira-2026-alba-european-portuguese-benchmark-evaluating/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Inês Vieira, Inês Calvo, Iago Paulo, et al.*2026 · 2 citations*
706. **[An Extreme Multi-label Text Classification (XMTC) Library Dataset: What If We Took “Use of Practical AI in Digital Libraries” Seriously?](https://md.research.elamur.ai/free/en/papers/souza-2026-extreme-multi-label-text-classification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jennifer D'Souza, Sameer Sadruddin, Maximilian Kaehler, et al.*2026 · 2 citations*
707. **[AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search](https://md.research.elamur.ai/free/en/papers/song-2026-aot-efficient-synthesis-planning-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, et al.*2026 · 2 citations*
708. **[Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization](https://md.research.elamur.ai/free/en/papers/xing-2026-are-llms-reliable-rankers-rank/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tiancheng Xing, Jerry Li, Yixuan Du, et al.*2026 · 2 citations*
709. **[Attention Basin: Why Contextual Position Matters in Large Language Models](https://md.research.elamur.ai/free/en/papers/yi-2026-attention-basin-why-contextual-position/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Yi, Zhenqing Ling, Delong Zeng, et al.*2026 · 2 citations*
710. **[Author-in-the-Loop Response Generation and Evaluation: Integrating Author Expertise and Intent in Responses to Peer Review](https://md.research.elamur.ai/free/en/papers/ruan-2026-author-loop-response-generation-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qian Ruan, Iryna Gurevych*2026 · 2 citations*
711. **[BanglaLlama: LLaMA for Bangla Language](https://md.research.elamur.ai/free/en/papers/zehady-2026-banglallama-llama-bangla-language/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Abdullah Khan Zehady, Shubhashis Roy Dipta, Naymul Islam, et al.*2026 · 2 citations*
712. **[Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning](https://md.research.elamur.ai/free/en/papers/pronesti-2026-beyond-outcome-verification-verifiable-process/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Massimiliano Pronesti, Anya Belz, Yufang Hou*2026 · 2 citations*
713. **[Beyond Transcripts: A Renewed Perspective on Audio Chaptering](https://md.research.elamur.ai/free/en/papers/retkowski-2026-beyond-transcripts-renewed-perspective-audio/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fabian Retkowski, Maike Züfle, Thai Binh Nguyen, et al.*2026 · 2 citations*
714. **[Bias Fitting to Mitigate Length Bias of Reward Model in RLHF](https://md.research.elamur.ai/free/en/papers/zhao-2026-bias-fitting-mitigate-length-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kangwen Zhao, Jianfeng Cai, Jinhua Zhu, et al.*2026 · 2 citations*
715. **[Can Large Language Models Infer Causal Relationships from Real-World Text?](https://md.research.elamur.ai/free/en/papers/saklad-2026-can-large-language-models-infer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ryan Saklad, Aman Chadha, Oleg V. Pavlov, et al.*2026 · 2 citations*
716. **[ClaimDB: A Fact Verification Benchmark over Large Structured Data](https://md.research.elamur.ai/free/en/papers/theologitis-2026-claimdb-fact-verification-benchmark-over/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Theologitis, Preetam Prabhu Srikar Dammu, Chirag Shah, et al.*2026 · 2 citations*
717. **[COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations](https://md.research.elamur.ai/free/en/papers/xing-2026-communitynotes-dataset-exploring-helpfulness-fact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Xing, Preslav Nakov, Timothy Baldwin, et al.*2026 · 2 citations*
718. **[Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation](https://md.research.elamur.ai/free/en/papers/yuan-2026-culture-aware-machine-translation-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.*2026 · 2 citations*
719. **[Current state of LLMs for Arabic dialectal machine translation](https://md.research.elamur.ai/free/en/papers/jon-2026-current-state-llms-arabic-dialectal/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Josef Jon, Rawan Bondok, Ondřej Bojar*2026 · 2 citations*
720. **[Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)](https://md.research.elamur.ai/free/en/papers/mori-2026-differentially-private-synthetic-text-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, et al.*2026 · 2 citations*
721. **[Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search](https://md.research.elamur.ai/free/en/papers/shi-2026-efficient-multi-agent-system-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wentao Shi, Zichun Yu, Fuli Feng, et al.*2026 · 2 citations*
722. **[Efficient Training for Cross-lingual Speech Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-efficient-training-cross-lingual-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yan Zhou, Qingkai Fang, Yun Hong, et al.*2026 · 2 citations*
723. **[Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract Classification](https://md.research.elamur.ai/free/en/papers/singh-2026-evaluating-customized-vs-generalist-transformer/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Amrita Singh, H. Suhan Karaca, Aditya Joshi, et al.*2026 · 2 citations*
724. **[Exploring Iterative Controllable Summarization with Large Language Models](https://md.research.elamur.ai/free/en/papers/ryu-2026-exploring-iterative-controllable-summarization-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sangwon Ryu, Heejin Do, Daehui Kim, et al.*2026 · 2 citations*
725. **[Failure makes the agent stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions](https://md.research.elamur.ai/free/en/papers/su-2026-failure-makes-agent-stronger-enhancing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junhao Su, Yuanliang Wan, Junwei Yang, et al.*2026 · 2 citations*
726. **[From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction](https://md.research.elamur.ai/free/en/papers/maximov-2026-2-4-8-16-sparsity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Egor Maximov, Yulia Kuzkina, Egor Shvetsov, et al.*2026 · 2 citations*
727. **[From Belief Entrenchment to Robust Reasoning in LLM Agents](https://md.research.elamur.ai/free/en/papers/oh-2026-belief-entrenchment-robust-reasoning-llm/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jihwan Oh, Minchan Jeong, Jongwoo Ko, et al.*2026 · 2 citations*
728. **[From Fact to Judgment: Investigating the Impact of Task Framing on LLM Conviction in Dialogue Systems](https://md.research.elamur.ai/free/en/papers/rabbani-2026-fact-judgment-investigating-impact-task/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Parisa Rabbani, Nimet Beyza Bozdag, Dilek Hakkani-Tur*2026 · 2 citations*
729. **[Generating Effective CoT Traces for Mitigating Causal Hallucination](https://md.research.elamur.ai/free/en/papers/zhao-2026-generating-effective-cot-traces-mitigating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiheng Zhao, Jun Yan*2026 · 2 citations*
730. **[Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty Prediction](https://md.research.elamur.ai/free/en/papers/philippov-2026-glite-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Vassili Philippov, Dmitrii Andreev, Pavel Katunin, et al.*2026 · 2 citations*
731. **[Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math](https://md.research.elamur.ai/free/en/papers/pandit-2026-hard2verify-step-level-verification-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, et al.*2026 · 2 citations*
732. **[Harnessing Consistency for Robust Test-Time LLM Ensemble](https://md.research.elamur.ai/free/en/papers/zeng-2026-harnessing-consistency-robust-test-time/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichen Zeng, Qi Yu, Xiao Lin, et al.*2026 · 2 citations*
733. **[HistoriQA-ThirdRepublic: Multi-Hop Question Answering Corpus for Historical Research, Parliamentary Debates from the French Third Republic (1870-1940)](https://md.research.elamur.ai/free/en/papers/pellet-2026-historiqa-thirdrepublic-multi-hop-question/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aurelien Pellet, Marie Anna Puren, Julien PEREZ*2026 · 2 citations*
734. **[Instruction-Guided Poetry Generation in Arabic and Its Dialects](https://md.research.elamur.ai/free/en/papers/sadallah-2026-instruction-guided-poetry-generation-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy, et al.*2026 · 2 citations*
735. **[K-Merge: Online Continual Merging of Adapters for On-device Large Language Models](https://md.research.elamur.ai/free/en/papers/shenaj-2026-k-merge-online-continual-merging/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Donald Shenaj, Ondrej Bohdal, Taha Ceritli, et al.*2026 · 2 citations*
736. **[Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/yi-2026-latent-agents-post-training-procedure/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**John Seon Keun Yi, Aaron Mueller, Dokyun Lee*2026 · 2 citations*
737. **[Law in Silico: Simulating Legal Society with LLM-Based Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-law-silico-simulating-legal-society/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiding Wang, Yuxuan Chen, Fanxu Meng, et al.*2026 · 2 citations*
738. **[Learning Multilingual Agentic Policy to Control Sycophancy](https://md.research.elamur.ai/free/en/papers/ranaldi-2026-learning-multilingual-agentic-policy-control/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Leonardo Ranaldi, Giulia Pucci*2026 · 2 citations*
739. **[Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention](https://md.research.elamur.ai/free/en/papers/yang-2026-less-is-more-improving-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Mingyang Zhang, Feng Chen, et al.*2026 · 2 citations*
740. **[LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjin Liu, Haoran Luo, Xin Feng, et al.*2026 · 2 citations*
741. **[LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection](https://md.research.elamur.ai/free/en/papers/xu-2026-livefact-dynamic-time-aware-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cheng Xu, Changhong Jin, Yingjie Niu, et al.*2026 · 2 citations*
742. **[Lizard: An Efficient Linearization Framework for Large Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-lizard-efficient-linearization-framework-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, et al.*2026 · 2 citations*
743. **[LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals](https://md.research.elamur.ai/free/en/papers/sun-2026-llm-reasoning-as-trajectories-step/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lihao Sun, Hang Dong, Bo Qiao, et al.*2026 · 2 citations*
744. **[Logit Arithmetic Elicits Long Reasoning Capabilities Without Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-logit-arithmetic-elicits-long-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, et al.*2026 · 2 citations*
745. **[Lost in Formatting: How Output Formats Skew LLM Performance on Information Extraction](https://md.research.elamur.ai/free/en/papers/ravikumar-2026-lost-formatting-how-output-formats/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rishi Ravikumar, Nuhu Ibrahim, Riza Batista-Navarro*2026 · 2 citations*
746. **[Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning](https://md.research.elamur.ai/free/en/papers/zhai-2026-maximizing-local-entropy-where-it/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Naixin Zhai, Pengyang Shao, Binbin Zheng, et al.*2026 · 2 citations*
747. **[MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration](https://md.research.elamur.ai/free/en/papers/zhu-2026-medmcp-calc-benchmarking-llms-realistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yakun Zhu, Yutong Huang, Shengqian Qin, et al.*2026 · 2 citations*
748. **[Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation](https://md.research.elamur.ai/free/en/papers/liu-2026-mending-holes-mitigating-reward-hacking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifeng Liu, Siqi Ouyang, Yatish H R, et al.*2026 · 2 citations*
749. **[MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments](https://md.research.elamur.ai/free/en/papers/timmer-2026-metalead-comprehensive-human-curated-leaderboard/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Roelien C. Timmer, Necva Bölücü, Stephen Wan*2026 · 2 citations*
750. [**MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling arXiv:2602.11761**MiniCPM Team, Wenhao An, Yingfa Chen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)
751. **[Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem](https://md.research.elamur.ai/free/en/papers/xiao-2026-modeling-llm-unlearning-as-asymmetric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zeguan Xiao, Siqing Li, Yong Wang, et al.*2026 · 2 citations*
752. **[OjaKV: Context-Aware Online Low-Rank KV Cache Compression](https://md.research.elamur.ai/free/en/papers/zhu-2026-ojakv-context-aware-online-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, et al.*2026 · 2 citations*
753. **[On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration](https://md.research.elamur.ai/free/en/papers/zhu-2026-policy-self-distillation-efficient-diffusion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Huaisheng Zhu, MingYu Liu, Junze Liu, et al.*2026 · 2 citations*
754. **[One Token Is Enough: Improving Diffusion Language Models with a Sink Token](https://md.research.elamur.ai/free/en/papers/zhang-2026-one-token-is-enough-improving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihou Zhang, Zheyong Xie, Li Zhong, et al.*2026 · 2 citations*
755. **[OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-opengenalign-preference-dataset-benchmark-trustworthy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanning Zhang, Juntong Song, Juno Zhu, et al.*2026 · 2 citations*
756. **[Paragraph Segmentation Revisited: Towards a Standard Task for Structuring Speech](https://md.research.elamur.ai/free/en/papers/retkowski-2026-paragraph-segmentation-revisited-standard-task/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fabian Retkowski, Alexander Waibel*2026 · 2 citations*
757. **[PHEB: An European Portuguese High School-Level LLM Benchmark](https://md.research.elamur.ai/free/en/papers/tavares-2026-pheb-european-portuguese-high-school/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Diogo C. Tavares, Rafael Ferreira, Afonso Simplício, et al.*2026 · 2 citations*
758. **[POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering](https://md.research.elamur.ai/free/en/papers/xu-2026-polychartqa-benchmarking-large-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichen Xu, Liangyu Chen, Liang Zhang, et al.*2026 · 2 citations*
759. **[Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption](https://md.research.elamur.ai/free/en/papers/liu-2026-position-llm-watermarking-should-align/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yepeng Liu, Xuandong Zhao, Dawn Song, et al.*2026 · 2 citations*
760. **[Preference Learning Unlocks LLMs' Psycho-Counseling Skills](https://md.research.elamur.ai/free/en/papers/zhang-2026-preference-learning-unlocks-llms-psycho/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mian Zhang, Shaun M. Eack, Zhiyu Chen*2026 · 2 citations*
761. **[PsychEthicsBench: Evaluating Large Language Models Against Australian Mental Health Ethics](https://md.research.elamur.ai/free/en/papers/shen-2026-psychethicsbench-evaluating-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaling Shen, Stephanie Fong, Yiwen Jiang, et al.*2026 · 2 citations*
762. **[Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations](https://md.research.elamur.ai/free/en/papers/wang-2026-psychological-counseling-cannot-be-achieved/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bichen Wang, Junzhe Wang, Yixin Sun, et al.*2026 · 2 citations*
763. **[Qomhrá: A Bilingual Irish and English Large Language Model](https://md.research.elamur.ai/free/en/papers/mcinerney-2026-qomhra-bilingual-irish-english-large/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Joseph McInerney, Khanh-Tung Tran, Liam Lonergan, et al.*2026 · 2 citations*
764. **[QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/min-2026-quco-rag-quantifying-uncertainty-pre/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dehai Min, Kailin Zhang, Tongtong Wu, et al.*2026 · 2 citations*
765. **[ReContraster: Making Your Posters Stand Out with Regional Contrast](https://md.research.elamur.ai/free/en/papers/zhang-2026-recontraster-making-your-posters-stand/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peixuan Zhang, Zijian Jia, Ziqi Cai, et al.*2026 · 2 citations*
766. **[RedCoder: Automated Multi-Turn Red Teaming for Code LLMs](https://md.research.elamur.ai/free/en/papers/mo-2026-redcoder-automated-multi-turn-red/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, et al.*2026 · 2 citations*
767. **[RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services](https://md.research.elamur.ai/free/en/papers/zhao-2026-redone-2-0-rethinking-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei zhao, Chonggang Lu, Haofu Qian, et al.*2026 · 2 citations*
768. **[RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models](https://md.research.elamur.ai/free/en/papers/muhamed-2026-refusalbench-generative-evaluation-selective-refusal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, et al.*2026 · 2 citations*
769. **[Ro-SLM: Onboard Small Language Models for Robot Task Planning and Operation Code Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-ro-slm-onboard-small-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenhao Wang, Yanyan Li, Long Jiao, et al.*2026 · 2 citations*
770. **[Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection](https://md.research.elamur.ai/free/en/papers/liu-2026-same-claim-different-judgment-benchmarking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiwei Liu, Yupeng Cao, Yuechen Jiang, et al.*2026 · 2 citations*
771. **[Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training](https://md.research.elamur.ai/free/en/papers/xia-2026-search-p1-path-centric-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianle Xia, Ming Xu, Lingxiang Hu, et al.*2026 · 2 citations*
772. **[Self-Explaining Hate Speech Detection with Moral Rationales](https://md.research.elamur.ai/free/en/papers/vargas-2026-self-explaining-hate-speech-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Francielle Vargas, Jackson Trager, Diego Alves, et al.*2026 · 2 citations*
773. **[SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-shape-unifying-safety-helpfulness-pedagogy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihang Zhao, Kangrui Yu, Youliang Yuan, et al.*2026 · 2 citations*
774. **[Silah at QIAS 2026: Fine-Tuning vs. Retrieval-Augmented Generation for Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/kurdi-2026-silah-qias-2026-fine-tuning/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ghader Kurdi, Hanan Justanieah, Hala Justanieah*2026 · 2 citations*
775. **[STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding](https://md.research.elamur.ai/free/en/papers/xiao-2026-stella-multimodal-llm-protein-functional/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongwang Xiao, Wenjun Lin, Xi Chen, et al.*2026 · 2 citations*
776. **[Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?](https://md.research.elamur.ai/free/en/papers/molfetta-2026-sycophants-courtroom-are-llms-fragile/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi, et al.*2026 · 2 citations*
777. **[T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground](https://md.research.elamur.ai/free/en/papers/stoianov-2026-t-pro-2-0-efficient/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dmitrii Stoianov, Danil Taranets, Olga Tsymboi, et al.*2026 · 2 citations*
778. **[The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models](https://md.research.elamur.ai/free/en/papers/lohr-2026-hidden-bias-study-explicit-implicit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Konrad Löhr, Shuzhou Yuan, Michael Färber*2026 · 2 citations*
779. **[The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs](https://md.research.elamur.ai/free/en/papers/mahmoud-2026-unintended-trade-off-ai-alignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Omar Mahmoud, Ali Khalil, Thommen George Karimpanal, et al.*2026 · 2 citations*
780. [**The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP arXiv:2606.03250 · BMC Med Inform Decis Mak 26, 296 (2026)**Henry He, Johann Frei, Raphael Schmitt*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/he-2026-word-way-strategies-domain-specific/)
781. **[Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-think-how-think-mitigating-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongjiang Liu, Haoxi Li, Xiaosong Ma, et al.*2026 · 2 citations*
782. **[Thunder-NUBench: A Benchmark for LLMs' Sentence-Level Negation Understanding](https://md.research.elamur.ai/free/en/papers/so-2026-thunder-nubench-benchmark-llms-sentence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yeonkyoung So, Gyuseong Lee, Sungmok Jung, et al.*2026 · 2 citations*
783. **[UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu](https://md.research.elamur.ai/free/en/papers/adeeba-2026-urblimp-benchmark-evaluating-linguistic-competence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Farah Adeeba, Brian Dillon, Hassan Sajjad, et al.*2026 · 2 citations*
784. **[What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time](https://md.research.elamur.ai/free/en/papers/yan-2026-what-if-consensus-lies-selective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dong Yan, Jian Liang, Yanbo Wang, et al.*2026 · 2 citations*
785. **[When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tan-2026-when-flores-bloomz-wrong-cross/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**David Tan, Pinzhen Chen, Josef van Genabith, et al.*2026 · 2 citations*
786. **[Act2P: LLM-Driven Online Dialogue Act Classification for Power Analysis](https://md.research.elamur.ai/free/en/papers/zhang-2025-act2p-llm-driven-online-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenbo Zhang, Yuhan Wang*2025 · 2 citations*
787. **[Adapting Falcon3-7B Language Model for Arabic: Methods, Challenges, and Outcomes](https://md.research.elamur.ai/free/en/papers/boussaha-2025-adapting-falcon3-7b-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Basma El Amel Boussaha, Mohammed Alyafeai, Ahmed Alzubaidi, et al.*2025 · 2 citations*
788. **[AI Text Detectors and the Misclassification of Slightly Polished Arabic Text](https://md.research.elamur.ai/free/en/papers/almohaimeed-2025-ai-text-detectors-misclassification-slightly/) [Journal Of Big Data](https://md.research.elamur.ai/free/en/venues/journal-of-big-data/)**Saleh Almohaimeed, Saad Almohaimeed, Mousa Jari, et al.*2025 · 2 citations*
789. **[Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?](https://md.research.elamur.ai/free/en/papers/almaoui-2025-arabizi-vs-llms-can-genie/) [Machine Translation Summit (MT Summit)](https://md.research.elamur.ai/free/en/venues/mtsummit/)**Perla Al Almaoui, Pierrette Bouillon, Simon Hengchen*2025 · 2 citations*
790. [**AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data arXiv:2507.18442**Rana Alshaikh, Israa Alghanmi, Shelan Jeawak*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshaikh-2025-aratable-benchmarking-llms-reasoning-understanding/)
791. [**Can Large Language Models Predict the Outcome of Judicial Decisions? arXiv:2501.09768**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kmainasi-2025-large-language-models-predict-outcome/)
792. **[FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring](https://md.research.elamur.ai/free/en/papers/seo-2025-feat-preference-feedback-dataset-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyein Seo, Taewook Hwang, Yohan Lee, et al.*2025 · 2 citations*
793. [**Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models arXiv:2501.05478**Malak Mansour, Ahmed Aly, Bahey Tharwat, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mansour-2025-language-planning-robotic-navigation-multilingual/)
794. **[Octopus: Towards Building the Arabic Speech LLM Suite](https://md.research.elamur.ai/free/en/papers/althubaiti-2025-octopus-building-arabic-speech-llm/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sara Althubaiti, Vasista Sai Lodagala, Tjad Clark, et al.*2025 · 2 citations*
795. **[Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in Telegram](https://md.research.elamur.ai/free/en/papers/bazdyrev-2025-transforming-causal-llm-into-mlm/) [Ukrainian Natural Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/unlp/)**Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, et al.*2025 · 2 citations*
796. **[Zero-Shot and Fine-Tuned Evaluation of Generative LLMs for Arabic Word Sense Disambiguation](https://md.research.elamur.ai/free/en/papers/noureldien-2025-zero-shot-fine-tuned-evaluation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yossra Noureldien, Abdelrazig Mohamed, Farah Attallah*2025 · 2 citations*
797. **[Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition](https://md.research.elamur.ai/free/en/papers/greco-2024-talking-talk-does-not-entail/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Candida Maria Greco, Lucio La Cava, Andrea Tagarelli*2024 · 2 citations*
798. **[A Closed-Track System for Palestinian Arabic in the AMIYA Shared Task](https://md.research.elamur.ai/free/en/papers/hamad-2026-closed-track-system-palestinian-arabic/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Khaleel Hamad, Ahmad Al-Najjar*2026 · 1 citation*
799. **[A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification Tasks](https://md.research.elamur.ai/free/en/papers/yazdani-2026-comprehensive-evaluation-chain-thought-faithfulness/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Shakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.*2026 · 1 citation*
800. **[A Survey of Deep Learning for Geometry Problem Solving](https://md.research.elamur.ai/free/en/papers/ma-2026-survey-deep-learning-geometry-problem/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianzhe Ma, Wenxuan Wang, Qin Jin*2026 · 1 citation*

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