---
title: "Who cites Archit Sharma — page 7 — 3,050 papers of our library"
description: "3,050 papers of the Elamur Research library cite the works of Archit Sharma, found in their bibliographies · page 7 of 8 · 601–700; the most…"
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---
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# Who cites Archit Sharma

3,170 citations of their works from 3,050 papers of our library (of the 149,439 whose bibliographies we read) · 772 with a page here, the most cited first · page 7 of 8 · 601–700 · [← Archit Sharma](https://md.research.elamur.ai/free/en/authors/archit-sharma/)

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601. **[Bring the Apple, Not the Sofa: Impact of Irrelevant Context in Embodied AI Commands on VLA Models](https://md.research.elamur.ai/free/en/papers/moskalenko-2026-bring-apple-not-sofa-impact/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrey Moskalenko, Daria Pugacheva, Denis Shepelev, et al.*2026*
602. **[BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents](https://md.research.elamur.ai/free/en/papers/ou-2026-browseconf-confidence-guided-test-time/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Litu Ou, Kuan Li, Huifeng Yin, et al.*2026*
603. **[CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-cacheprune-teaching-llms-what-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Wang, Junda Wu, Yu Xia, et al.*2026*
604. **[Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation](https://md.research.elamur.ai/free/en/papers/radharapu-2026-calibrating-llm-judges-linear-probes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.*2026*
605. **[Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-can-persona-prompted-llms-emulate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, et al.*2026*
606. **[CARE-CR: Context-Aware Routing and Expert Fusion for Multi-Preference Cognitive Restructuring](https://md.research.elamur.ai/free/en/papers/qi-2026-care-cr-context-aware-routing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongzhi Qi, Liangcheng Wang, Yijing YU, et al.*2026*
607. **[CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs](https://md.research.elamur.ai/free/en/papers/qi-2026-carl-constraint-aware-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiuyi Qi, Jinjian Zhang, Mutian Bao, et al.*2026*
608. **[CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation](https://md.research.elamur.ai/free/en/papers/wu-2026-caro-chain-analogy-reasoning-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bingzhe Wu, Haotian Lu, Yuchen Mou*2026*
609. **[CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification](https://md.research.elamur.ai/free/en/papers/wang-2026-causaldetox-causal-head-selection-intervention/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yian Wang, Yuen Chen, Agam Goyal, et al.*2026*
610. **[CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs](https://md.research.elamur.ai/free/en/papers/lu-2026-chairo-contextual-hierarchical-analogical-induction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haotian Lu, Yuchen Mou, Bingzhe Wu*2026*
611. **[CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-checkrlm-effective-knowledge-thought-coherence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.*2026*
612. **[CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/schlesinger-2026-claro-controlled-attribute-driven-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Oded Schlesinger, Young Kyung Kim, J. Matias Di Martino, et al.*2026*
613. **[CodeRM-NT: Reward Model for Code RL without Unit Tests](https://md.research.elamur.ai/free/en/papers/xia-2026-coderm-nt-reward-model-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiao Xia, Dan Zhang, Tianrui Sun*2026*
614. **[COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values](https://md.research.elamur.ai/free/en/papers/wu-2026-coig-p-high-quality-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siwei Wu, JinCheng Ren, Xeron Du, et al.*2026*
615. **[Component Transfer Can Exceed Full Model Performance: Investigating Post-Trained Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/tiwari-2026-component-transfer-can-exceed-full/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Rabin Tiwari*2026*
616. **[Conjecture and Inquiry: Quantifying Software Performance Requirements via Interactive Retrieval-Augmented Preference Elicitation](https://md.research.elamur.ai/free/en/papers/wang-2026-conjecture-inquiry-quantifying-software-performance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shihai Wang, Tao Chen*2026*
617. **[Constructing a Japanese Rap Lyric Generation Model with GRPO](https://md.research.elamur.ai/free/en/papers/ogawa-2026-constructing-japanese-rap-lyric-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hayato Ogawa, Daisuke Kawahara*2026*
618. **[Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models](https://md.research.elamur.ai/free/en/papers/truong-2026-critical-cot-robust-defense-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vu Tuan Truong, Long Bao Le*2026*
619. **[Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains](https://md.research.elamur.ai/free/en/papers/su-2026-crossing-reward-bridge-expanding-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Su, Dian Yu, Linfeng Song, et al.*2026*
620. **[CSULoRA: Closest Safe Update Low-Rank Adaptation](https://md.research.elamur.ai/free/en/papers/marchenko-2026-csulora-closest-safe-update-low/) [International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security](https://md.research.elamur.ai/free/en/venues/nlpaics/)**Oleksandr Marchenko, Adelaide Danilov, Aria Nourbakhsh, et al.*2026*
621. **[D2PCM:A Multi-Turn Dialogue Dataset with Personalized Contextual Memory](https://md.research.elamur.ai/free/en/papers/yang-2026-d2pcm-multi-turn-dialogue-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Yang, Yi Huang, Yaqin Chen, et al.*2026*
622. **[DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training](https://md.research.elamur.ai/free/en/papers/pan-2026-dart-mitigating-harm-drift-difference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziwen Pan, Zihan Liang, Jad Kabbara, et al.*2026*
623. **[Debiasing Reward Models via Causally Motivated Inference-Time Intervention](https://md.research.elamur.ai/free/en/papers/shinoda-2026-debiasing-reward-models-causally-motivated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida*2026*
624. **[Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation](https://md.research.elamur.ai/free/en/papers/ye-2026-deep-reporter-deep-research-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangda Ye, Kuicai Dong, Xie Zhifei, et al.*2026*
625. **[Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints](https://md.research.elamur.ai/free/en/papers/yin-2026-deliberative-searcher-improving-llm-reliability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.*2026*
626. [**DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation arXiv:2607.07669**Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.*2026*](https://md.research.elamur.ai/free/en/papers/painter-2026-diallm-investigation-robustness-generation-gap/)
627. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.*2026*
628. **[Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response Lengths](https://md.research.elamur.ai/free/en/papers/nair-2026-do-language-models-think-consistently/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Inderjeet Jayakumar Nair, Lu Wang*2026*
629. **[Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-do-we-always-need-query/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixu Wang, Bingbing Xu, Yige Yuan, et al.*2026*
630. **[DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping](https://md.research.elamur.ai/free/en/papers/zhu-2026-dvmap-fine-grained-pluralistic-value/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengyun Zhu, Yuqi Ren, Zhen Wang, et al.*2026*
631. **[DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization](https://md.research.elamur.ai/free/en/papers/zhou-2026-dynamicfocalpo-adaptive-focusing-strategy-preference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shu Zhou, Junan Chen, Rui Ling, et al.*2026*
632. **[D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-d-2-rag-dual-decision/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, et al.*2026*
633. **[Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion](https://md.research.elamur.ai/free/en/papers/zhang-2026-efficient-low-resource-language-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhang, Jiuheng Lin, Zhiyuan Liao, et al.*2026*
634. **[EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME Scenarios](https://md.research.elamur.ai/free/en/papers/mu-2026-efficienttool-cost-effective-aligning-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanqi Mu, Bingfeng Pi, Defei Xia, et al.*2026*
635. **[EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/yeom-2026-epicar-knowing-what-you-don/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jewon Yeom, Jaewon Sok, Seonghyeon Park, et al.*2026*
636. **[Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?](https://md.research.elamur.ai/free/en/papers/rajput-2026-evaluation-drift-llm-personality-induction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.*2026*
637. **[Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for Classification](https://md.research.elamur.ai/free/en/papers/merdjanovska-2026-evaluation-pitfalls-sparsity-limitations-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Elena Merdjanovska, Omar Zaidan, Andreas Rücklé*2026*
638. **[Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection](https://md.research.elamur.ai/free/en/papers/yang-2026-everyone-is-unique-behaviorally-heterogeneous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Yang, Kai Tang, Chao Ye, et al.*2026*
639. **[Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models](https://md.research.elamur.ai/free/en/papers/tran-2026-exploiting-tree-structure-credit-assignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hieu Tran, Zonghai Yao, Hong yu*2026*
640. **[Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-exploration-exploitation-reshaping-efficient-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yufeng Shi, Weilin Luo, Yuxiang Zhang, et al.*2026*
641. **[FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models](https://md.research.elamur.ai/free/en/papers/weng-2026-finesteer-unified-framework-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Weng, Jinghuai Zhang, Kunlin Cai, et al.*2026*
642. [**Flout at Your Own Risk: LLMs Struggle with Pragmatic Cooperativity Under Epistemic Asymmetry arXiv:2607.11053**Hannah VanderHoeven, Abhijnan Nath, Nikhil Krishnaswamy*2026*](https://md.research.elamur.ai/free/en/papers/vanderhoeven-2026-flout-own-risk-llms-struggle/)
643. **[Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation](https://md.research.elamur.ai/free/en/papers/watson-2026-frame2kg-benchmark-evaluation-toolkit-interpretable/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*
644. **[From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning](https://md.research.elamur.ai/free/en/papers/zhan-2026-answers-arguments-trustworthy-clinical-diagnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.*2026*
645. **[From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks](https://md.research.elamur.ai/free/en/papers/ren-2026-coarse-fine-benchmarking-reward-modeling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Ren, Tianjun Pan, Xingzhou Chen, et al.*2026*
646. **[From Explicit to Implicit: A Theoretical Framework and Transfer Method for Preference Internalization in Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-explicit-implicit-theoretical-framework-transfer/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Binrui Wang, Yongping Du, Yu Pei, et al.*2026*
647. **[From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization](https://md.research.elamur.ai/free/en/papers/wang-2026-mimesis-metamorphosis-evolving-vlm-judges/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juntuo Wang, Yuming Qiao, Yifan Yang, et al.*2026*
648. **[From Narrow Unlearning to Emergent Misalignment in LLMs](https://md.research.elamur.ai/free/en/papers/mushtaq-2026-narrow-unlearning-emergent-misalignment-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.*2026*
649. **[From Propositional to Perceptual Asymmetry: Extending FPO to Asymmetric Partial Information Dialogue](https://md.research.elamur.ai/free/en/papers/zhu-2026-propositional-perceptual-asymmetry-extending-fpo/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Yifan Zhu, Kyeongmin Rim, James Pustejovsky*2026*
650. **[From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented Context](https://md.research.elamur.ai/free/en/papers/tian-2026-short-video-clickable-search-rlvr/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingkai Tian, Xuye, Long Meng, et al.*2026*
651. **[GALA: Geometric Data Selection with Strategic Prospecting for Large Language Model Self-training](https://md.research.elamur.ai/free/en/papers/xie-2026-gala-geometric-data-selection-strategic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhongwei Xie, Ruihao Liao, Zimo Wang, et al.*2026*
652. **[Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*
653. **[GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-geometryzero-advancing-geometry-solving-group/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yikun Wang, Yibin Wang, Dianyi Wang, et al.*2026*
654. **[GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-gr1-reinforcement-enhanced-llm-geoscience/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yule Xie, Jiaxin Ding, Cheng Deng, et al.*2026*
655. **[GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-grace-generative-approach-better-confidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaohan Zhang, Ziquan Liu, Ioannis Patras*2026*
656. **[GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-gsm-noise-exploring-enhancing-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhengxin Zhang, Chengyu Huang, Xufu Liu, et al.*2026*
657. **[HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation](https://md.research.elamur.ai/free/en/papers/raj-2026-harpo-hierarchical-agentic-reasoning-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Subham Raj, Aman Vaibhav Jha, Mayank Anand, et al.*2026*
658. **[How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*
659. **[How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting](https://md.research.elamur.ai/free/en/papers/seegmiller-2026-how-much-would-clinician-edit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Parker Seegmiller, Joseph Gatto, Sarah E. Greer, et al.*2026*
660. **[I Don't Need Solution. I Need Emotional Support : Empathetic LLMs based on Emotional Validation](https://md.research.elamur.ai/free/en/papers/son-2026-i-don-t-need-solution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Suhyune Son, Jungwoo Lim, Myunghoon Kang, et al.*2026*
661. **[Improving LLM Domain Certification with Pretrained Guide Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-improving-llm-domain-certification-pretrained/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam, et al.*2026*
662. **[Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization](https://md.research.elamur.ai/free/en/papers/zhang-2026-improving-retrieval-augmented-generation-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gongbo Zhang, Yifan Peng, Chunhua Weng*2026*
663. **[Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-interpretable-safety-alignment-sae-constructed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.*2026*
664. **[Joint Optimization of Training Data and Policy in RLHF](https://md.research.elamur.ai/free/en/papers/yu-2026-joint-optimization-training-data-policy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuohao Yu, Jiali Zeng, Weizheng Gu, et al.*2026*
665. **[Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations](https://md.research.elamur.ai/free/en/papers/zhang-2026-know-known-unknown-reasonable-answer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichi Zhang, Zhuo Chen, Lingbing Guo, et al.*2026*
666. **[LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation Rewarding](https://md.research.elamur.ai/free/en/papers/tran-2026-lacomsa-language-consistency-multilingual-self/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen*2026*
667. **[LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety](https://md.research.elamur.ai/free/en/papers/yang-2026-lasa-language-agnostic-semantic-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.*2026*
668. **[Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula](https://md.research.elamur.ai/free/en/papers/shuai-2026-learning-near-misses-error-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.*2026*
669. **[Learning to Control Summaries with Score Ranking](https://md.research.elamur.ai/free/en/papers/liu-2026-learning-control-summaries-score-ranking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongye Liu, Liang Ding, Ricardo Henao*2026*
670. **[Limited Linguistic Diversity in Embodied AI Datasets](https://md.research.elamur.ai/free/en/papers/wanna-2026-limited-linguistic-diversity-embodied-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, et al.*2026*
671. **[LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory](https://md.research.elamur.ai/free/en/papers/zhang-2026-loka-conflict-aware-llm-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.*2026*
672. **[LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://md.research.elamur.ai/free/en/papers/lu-2026-lore-enhancing-search-relevance-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenji Lu, Zhuo Chen, Hui Zhao, et al.*2026*
673. **[LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-lovec-reinforcement-learning-better-verbalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.*2026*
674. **[Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-Basque](https://md.research.elamur.ai/free/en/papers/luu-2026-machine-translation-low-resource-languages/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Nam Luu, Aitor Soroa, German Rigau, et al.*2026*
675. **[Mapping the Course for Prompt-based Structured Prediction](https://md.research.elamur.ai/free/en/papers/pauk-2026-mapping-course-prompt-based-structured/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Matt Pauk, Maria Leonor Pacheco*2026*
676. **[Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding](https://md.research.elamur.ai/free/en/papers/wang-2026-measure-twice-click-once-co/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenkai Wang, Xiyun Li, Hongcan Guo, et al.*2026*
677. **[MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/qu-2026-medieval-unified-medical-benchmark-patient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhan Qu, Michael Färber*2026*
678. **[Mediocrity is the key for LLM as a Judge Anchor Selection](https://md.research.elamur.ai/free/en/papers/yehiya-2026-mediocrity-is-key-llm-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen, et al.*2026*
679. **[Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text](https://md.research.elamur.ai/free/en/papers/zhang-2026-minos-multimodal-evaluation-model-bidirectional/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junzhe Zhang, Huixuan Zhang, Xinyu Hu, et al.*2026*
680. **[MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents](https://md.research.elamur.ai/free/en/papers/sun-2026-mirth-mutual-information-reasoning-temporal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Sun, Yu Song, Teng Shiyu, et al.*2026*
681. **[MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling](https://md.research.elamur.ai/free/en/papers/yang-2026-mithinker-plug-play-policy-optimized/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yizhe Yang, Palakorn Achananuparp, Heyan Huang, et al.*2026*
682. **[Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling](https://md.research.elamur.ai/free/en/papers/liu-2026-mitigating-judgment-preference-bias-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.*2026*
683. **[Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPO](https://md.research.elamur.ai/free/en/papers/zheng-2026-mitigating-selection-bias-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinquan Zheng, Jia Yuan, Jiacheng Yao, et al.*2026*
684. **[MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control](https://md.research.elamur.ai/free/en/papers/wu-2026-moec-memory-routed-mixture-experts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wu, Chao Xu, Jianghui Wang, et al.*2026*
685. **[MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-mtp-rl-acceleration-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ke Wang, Aohan Zeng, Zhengxiao Du, et al.*2026*
686. **[MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks](https://md.research.elamur.ai/free/en/papers/ruan-2026-mtr-suite-framework-evaluating-synthesizing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.*2026*
687. **[Multi-dimensional Evaluation of Character-Authentic Dialogue Models Learned from Question-Answer Data](https://md.research.elamur.ai/free/en/papers/otsuka-2026-multi-dimensional-evaluation-character-authentic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Atsushi Otsuka, Kazuya Matsuo, Kenta Hama, et al.*2026*
688. **[Multilingual Chain-of-Thought Compression via Cross-Lingual Distillation](https://md.research.elamur.ai/free/en/papers/wan-2026-multilingual-chain-thought-compression-cross/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Jiarui Wan, Songming Zhang, Yufeng Chen*2026*
689. **[MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction](https://md.research.elamur.ai/free/en/papers/sun-2026-mvp-enhancing-video-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaokun Sun, Zezhong Wu, Zewen Ding, et al.*2026*
690. **[M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-m-2-po-multi-perspective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Linlong Xu, Heng Liu, et al.*2026*
691. **[Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching](https://md.research.elamur.ai/free/en/papers/shi-2026-neuronal-insights-into-llm-attacks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Shi, Renren Jin, Zhuowen Han, et al.*2026*
692. **[OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy](https://md.research.elamur.ai/free/en/papers/tang-2026-oasis-mitigating-harmful-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayu Tang, Guowei Peng, Qiuhao Xie, et al.*2026*
693. **[Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop](https://md.research.elamur.ai/free/en/papers/wang-2026-observations-remedies-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaxuan Wang, Zhongteng Cai, Yujia Bao, et al.*2026*
694. **[Offline Preference Optimization via Maximum Marginal Likelihood Estimation](https://md.research.elamur.ai/free/en/papers/najafi-2026-offline-preference-optimization-maximum-marginal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Saeed Najafi, Alona Fyshe*2026*
695. **[On the Editability of Delta Parameters in Post-Trained Models](https://md.research.elamur.ai/free/en/papers/tang-2026-editability-delta-parameters-post-trained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiaoyu Tang, Le Yu, Bowen Yu, et al.*2026*
696. **[On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning](https://md.research.elamur.ai/free/en/papers/wu-2026-policy-reinforcement-fine-tuning-offline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Wu, Jiaxin Fan, Chloe Gu, et al.*2026*
697. **[Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-optimizing-rag-rerankers-llm-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.*2026*
698. **[Overview of EvaHan2026: The First International Evaluation of Ancient Chinese OCR and Layout Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-overview-evahan2026-first-international-evaluation/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Dongbo Wang, Dongmei Zhu, Jieqiong Li, et al.*2026*
699. **[PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition](https://md.research.elamur.ai/free/en/papers/xu-2026-pam-enhancing-general-alignment-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Xu, Fuzhen Yang, Liang Lin, et al.*2026*
700. **[Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization](https://md.research.elamur.ai/free/en/papers/maggini-2026-par-ita-benchmarking-seq2seq-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michele Joshua Maggini, Søren Fomsgaard, Michele Maestroni, et al.*2026*

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