---
title: "Who cites Yonghao Zhuang — page 7 — 3,504 citing papers"
description: "3,504 papers of the Elamur Research library cite the works of Yonghao Zhuang, found in their bibliographies · page 7 of 9 · 601–700; the…"
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---
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# Who cites Yonghao Zhuang

3,602 citations of their works from 3,504 papers of our library (of the 149,439 whose bibliographies we read) · 859 with a page here, the most cited first · page 7 of 9 · 601–700 · [← Yonghao Zhuang](https://md.research.elamur.ai/free/en/authors/yonghao-zhuang/)

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601. **[IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation](https://md.research.elamur.ai/free/en/papers/wen-2026-if-rewardbench-benchmarking-judge-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bosi Wen, Yilin Niu, Cunxiang Wang, et al.*2026 · 1 citation*
602. **[IHLC@LT-EDI 2026: Steering Toward Inclusivity - A Representation Engineering for Gender-Neutral Rewriting](https://md.research.elamur.ai/free/en/papers/p-2026-ihlc-lt-edi-2026-steering/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Akhil Rajeev P, Manoj Balaji Jagadeeshan*2026 · 1 citation*
603. **[Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG](https://md.research.elamur.ai/free/en/papers/triantafyllopoulos-2026-knowing-when-not-answer-lightweight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Triantafyllopoulos, Renyi Qu, Salvatore Giorgi, et al.*2026 · 1 citation*
604. **[Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge](https://md.research.elamur.ai/free/en/papers/sun-2026-label-effects-shared-heuristic-reliance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Sun, Di Wu, Sijing Qin, et al.*2026 · 1 citation*
605. **[MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-maestro-meta-learning-adaptive-estimation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Zhao, Hepeng Wang, Xiao Ding, et al.*2026 · 1 citation*
606. **[MEAV: Model Editing with Alignment Vectors for inference time LLM alignment in single and multidomain preference spectrum](https://md.research.elamur.ai/free/en/papers/shahriar-2026-meav-model-editing-alignment-vectors/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sadat Shahriar, Zheng Qi, Nikolaos Pappas, et al.*2026 · 1 citation*
607. **[Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models](https://md.research.elamur.ai/free/en/papers/oi-2026-multi-modal-multi-task-multi/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.*2026 · 1 citation*
608. [**MÖVE: A Holistic LLM Benchmark for the German Public Sector arXiv:2606.13111**Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/dalerci-2026-m-ove-holistic-llm-benchmark/)
609. **[NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating](https://md.research.elamur.ai/free/en/papers/wu-2026-ncl-uor-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tong Wu, Thanet Markchom, Huizhi(elly) Liang*2026 · 1 citation*
610. **[No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding](https://md.research.elamur.ai/free/en/papers/permadi-2026-no-shortcuts-culture-indonesian-multi/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi, et al.*2026 · 1 citation*
611. **[PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints](https://md.research.elamur.ai/free/en/papers/park-2026-pac-bench-evaluating-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Minjun Park, Donghyun Kim, Hyeonjong Ju, et al.*2026 · 1 citation*
612. **[Phatthachdau at SemEval-2026 Task 9: A Multi-Stage Augment-Judge-Train Pipeline for Multilingual Online Polarization Detection](https://md.research.elamur.ai/free/en/papers/phat-2026-phatthachdau-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Phan Phat*2026 · 1 citation*
613. **[Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion Evaluation](https://md.research.elamur.ai/free/en/papers/zahraei-2026-prior-beliefs-prejudice-llm-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.*2026 · 1 citation*
614. **[PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL Agents](https://md.research.elamur.ai/free/en/papers/tian-2026-pv-sql-synergizing-database-probing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuan Tian, Tianyi Zhang*2026 · 1 citation*
615. **[QRAFT: QLoRA Retrieval-Augmented Fine-Tuning for Causal Span Extraction in Financial Documents](https://md.research.elamur.ai/free/en/papers/sarda-2026-qraft-qlora-retrieval-augmented-fine/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Bavya Sarda, Pulkit Chatwal, Sonal Dabral*2026 · 1 citation*
616. **[RAFFLES: Reasoning-based Attribution of Faults for LLM Systems](https://md.research.elamur.ai/free/en/papers/zhu-2026-raffles-reasoning-based-attribution-faults/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.*2026 · 1 citation*
617. **[RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/murugaraj-2026-ragvue-diagnostic-view-explainable-automated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald*2026 · 1 citation*
618. **[Redefining Retrieval Evaluation in the Era of LLMs](https://md.research.elamur.ai/free/en/papers/trappolini-2026-redefining-retrieval-evaluation-era-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Giovanni Trappolini, Florin Cuconasu, Simone Filice, et al.*2026 · 1 citation*
619. **[Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved Languages](https://md.research.elamur.ai/free/en/papers/simonsen-2026-reformulate-create-don-t-translate/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.*2026 · 1 citation*
620. **[ReportLogic: Evaluating Logical Quality in Deep Research Reports](https://md.research.elamur.ai/free/en/papers/zhao-2026-reportlogic-evaluating-logical-quality-deep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jujia Zhao, Zhaoxin Huan, Zihan Wang, et al.*2026 · 1 citation*
621. **[ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/molfese-2026-retraceqa-evaluating-reasoning-traces-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Francesco Maria Molfese, Luca Moroni, Ciro Porcaro, et al.*2026 · 1 citation*
622. **[Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-external-knowledge-input-beyond/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijun Liu, Zhennan Wan, Peng Li, et al.*2026 · 1 citation*
623. **[SCAN: Structured Capability Assessment and Navigation for LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-scan-structured-capability-assessment-navigation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zongqi Wang, Tianle Gu, Chen Gong, et al.*2026 · 1 citation*
624. **[SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-sefl-framework-generating-synthetic-educational/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mike Zhang, Amalie Pernille Dilling, Léon Gondelman, et al.*2026 · 1 citation*
625. **[SpanDiffusion: Flow Matching over Continuous Span Masks for Financial Causal Question Answering](https://md.research.elamur.ai/free/en/papers/niess-2026-spandiffusion-flow-matching-over-continuous/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Georg Niess, Roman Kern*2026 · 1 citation*
626. **[SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility](https://md.research.elamur.ai/free/en/papers/zhi-2026-spard-self-paced-curriculum-rl/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.*2026 · 1 citation*
627. **[Specializing Large Models for Oracle Bone Script Interpretation via Component-Grounded Multimodal Knowledge Augmentation](https://md.research.elamur.ai/free/en/papers/zhang-2026-specializing-large-models-oracle-bone/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianing Zhang, Runan Li, Honglin Pang, et al.*2026 · 1 citation*
628. **[Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random Walks](https://md.research.elamur.ai/free/en/papers/pankratov-2026-speculative-decoding-speed-light-optimal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sergey Pankratov, Dan Alistarh*2026 · 1 citation*
629. **[StoryMI: Steerable Multi-Agent Therapeutic Dialogue Generation](https://md.research.elamur.ai/free/en/papers/meng-2026-storymi-steerable-multi-agent-therapeutic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Meng, Min Chen, Dingming Liu, et al.*2026 · 1 citation*
630. **[SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation*
631. **[Thinking Alignment of Scenario-Oriented User Simulation](https://md.research.elamur.ai/free/en/papers/wu-2026-thinking-alignment-scenario-oriented-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoting Wu, Yi Huang, Chunyang Gao, et al.*2026 · 1 citation*
632. **[Towards Proactive Personalization through Profile Customization for Individual Users in Dialogues](https://md.research.elamur.ai/free/en/papers/zhang-2026-proactive-personalization-through-profile-customization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaotian Zhang, Yuan Wang, Ruizhe Chen, et al.*2026 · 1 citation*
633. [**Tracing English interference in AI-generated German AI-Linguistica 5**Paolo Valentinelli*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/valentinelli-2026-tracing-english-interference-ai-generated/)
634. **[Unlocking Large Audio-Language Models for Interactive Language Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-unlocking-large-audio-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongfu Liu, Zhouying Cui, Xiangming Gu, et al.*2026 · 1 citation*
635. **[VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation](https://md.research.elamur.ai/free/en/papers/tran-2026-vietmix-naturally-occurring-parallel-corpus/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, et al.*2026 · 1 citation*
636. **[When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/mao-2026-when-models-outthink-their-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.*2026 · 1 citation*
637. **[When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias](https://md.research.elamur.ai/free/en/papers/zou-2026-when-vision-language-models-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.*2026 · 1 citation*
638. **[Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language Models](https://md.research.elamur.ai/free/en/papers/mammen-2026-who-endorsed-it-measuring-authority/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam*2026 · 1 citation*
639. **[Whose Facts Win? LLM Source Preferences under Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/schuster-2026-whose-facts-win-llm-source/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jakob Schuster, Vagrant Gautam, Katja Markert*2026 · 1 citation*
640. **[x1: Learning to Think Adaptively Across Languages and Cultures](https://md.research.elamur.ai/free/en/papers/ye-2026-x1-learning-think-adaptively-across/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yangfan Ye, Xiaocheng Feng, Xiachong Feng, et al.*2026 · 1 citation*
641. **[YNU-HPCC at SemEval-2026 Task 1: Constraint-Aware In-Context Learning for Multilingual Humor Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Xulong Zhang, Jin Wang, Xuejie Zhang*2026 · 1 citation*
642. [**HAMSA: Hijacking Aligned Compact Models via Stealthy Automation arXiv:2508.16484**Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/krylov-2025-hamsa-hijacking-aligned-compact-models/)
643. **[A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass Classification](https://md.research.elamur.ai/free/en/papers/meyoyan-2026-bertology-view-llm-orchestrations-token/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gonzalo Ariel Meyoyan, Luciano Del Corro*2026*
644. **[A Dual-Phase Self-Evolution Framework for Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-dual-phase-self-evolution-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Sun, Zekun Zhang, Shaoning Zeng*2026*
645. **[A Layer-wise Analysis of Supervised Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhao-2026-layer-wise-analysis-supervised-fine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qinghua Zhao, Xueling Gong, Xinyu Chen, et al.*2026*
646. **[A Self-Evolving LLM Agent Framework for Role-Based Norm Compliance in Healthcare](https://md.research.elamur.ai/free/en/papers/ruan-2026-self-evolving-llm-agent-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haijie Ruan, Xiaowu Jiang, Zhanpeng LI, et al.*2026*
647. **[A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking](https://md.research.elamur.ai/free/en/papers/luo-2026-simple-efficient-learning-style-prompting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Luo, Yue Wang, Zefeng He, et al.*2026*
648. [**A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战) Acta Automatica Sinica (自动化学报)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
649. **[A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA Tasks](https://md.research.elamur.ai/free/en/papers/poelitz-2026-teacher-student-approach-creating-verified/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Christian Poelitz, Nick McKenna*2026*
650. **[AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications](https://md.research.elamur.ai/free/en/papers/nguyen-2026-accuraterag-framework-building-accurate-retrieval/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, et al.*2026*
651. **[Action Boundary Blindness: When LLM Agents Cannot Tell Where One Action Ends and Another Begins](https://md.research.elamur.ai/free/en/papers/wang-2026-action-boundary-blindness-when-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhangyi Wang, Bingnan Yu, Jiexiang Xu, et al.*2026*
652. **[Activation Decomposition and Steering for LLM Backdoor Remediation](https://md.research.elamur.ai/free/en/papers/zhong-2026-activation-decomposition-steering-llm-backdoor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingfeng Zhong, Qiongkai Xu, Usman Naseem*2026*
653. **[Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal](https://md.research.elamur.ai/free/en/papers/zhang-2026-adaptive-prompt-optimization-open-ended/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuyang Zhang, Zhixuan Liu, Zhichen Dong, et al.*2026*
654. **[Agentic Context Strategies for Multi-Format Document Understanding: When Should Language Models Use Tools?](https://md.research.elamur.ai/free/en/papers/uniyal-2026-agentic-context-strategies-multi-format/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mansi Uniyal, Mukul Singh, Ryan Nadel*2026*
655. **[AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-aj-bench-benchmarking-agent-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wentao Shi, Yu Wang, Yuyang Zhao, et al.*2026*
656. **[Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines](https://md.research.elamur.ai/free/en/papers/song-2026-alignment-tuning-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hwanjun Song*2026*
657. **[AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-amata-adaptive-multi-agent-trajectory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taolin Zhang, Dongyang Li, Chen Chen, et al.*2026*
658. **[An Empirical Study of Speculative Decoding for Small Language Models](https://md.research.elamur.ai/free/en/papers/mainardi-2026-empirical-study-speculative-decoding-small/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Luca Mainardi, Selcuk Sandikci, Joaquin Vanschoren*2026*
659. **[AnswerCarefully: Creating a Dataset for LLM Safety in Japanese](https://md.research.elamur.ai/free/en/papers/suzuki-2026-answercarefully-creating-dataset-llm-safety/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.*2026*
660. **[Are Large Language Models Economically Viable for Industry Deployment?](https://md.research.elamur.ai/free/en/papers/mohammad-2026-are-large-language-models-economically/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora, et al.*2026*
661. **[Are Social Biases in LLMs Consistent across Generative Tasks? A Case Study for Basque](https://md.research.elamur.ai/free/en/papers/zulaika-2026-are-social-biases-llms-consistent/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Muitze Zulaika, Xabier Saralegi, Julia Shershneva, et al.*2026*
662. **[Aurum at CRF Filling 2026: Modular DSPy Extractors with Qwen3-Max for Multilingual CRF Filling](https://md.research.elamur.ai/free/en/papers/ulli-2026-aurum-crf-filling-2026-modular/) [Workshop on Patient-Oriented Language Processing @ LREC](https://md.research.elamur.ai/free/en/venues/cl4health/)**Vinay Babu Ulli, Jyoti Kumari, Anindita Mondal*2026*
663. **[Automatic Evaluation of Open-Domain Real Conversations: Combining Encoder-Based, Dialogue-Based Features and Large Language Models Ratings](https://md.research.elamur.ai/free/en/papers/lopez-2026-automatic-evaluation-open-domain-real/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Cristina Conforto-López, Marcos Estecha-Garitagoitia, Mario Rodriguez-Cantelar, et al.*2026*
664. **[Automatic Generation of Discharge Summaries Using Large Language Models: A Systematic Literature Review](https://md.research.elamur.ai/free/en/papers/pinar-2026-automatic-generation-discharge-summaries-large/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Lucas Molino-Piñar, Manuel Carlos Diaz Galiano, María-Teresa Martín-Valdivia*2026*
665. [**BenGER: Benchmarking LLM Systems on Subsumption-Based Legal Reasoning in German Law arXiv:2605.28183**Sebastian Nagl, Ann-Kristin Mayrhofer, Martin Heidebach, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nagl-2026-benger-benchmarking-llm-systems-subsumption/)
666. **[Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-length-scaling-synergizing-breadth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiyuan Zhang, Yufei Wang, Tianhe Wu, et al.*2026*
667. [**Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat? arXiv:2609.28245**AbdulRahman A. Morsy, Aya Zirikly Department of Computer Science, School of Engineering, et al.*2026*](https://md.research.elamur.ai/free/en/papers/morsy-2026-poetry-large-language-models-generate/)
668. **[Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality](https://md.research.elamur.ai/free/en/papers/xie-2026-beyond-prompt-engineering-systematic-analysis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qipeng Xie, Zi Liang, Jiafei Wu, et al.*2026*
669. **[Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching](https://md.research.elamur.ai/free/en/papers/lv-2026-beyond-query-memorization-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Lv, Jingbo Sun, Jianwei Lv, et al.*2026*
670. **[Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-beyond-ranking-fine-grained-diagnostics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingze Xu, Zijing Zhao, Qiming Peng, et al.*2026*
671. **[Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-singular-revealing-value-multiple/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenbo Zhang, Hengrui Cai, Wenyu Chen*2026*
672. **[BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories](https://md.research.elamur.ai/free/en/papers/ouyang-2026-biasedtales-ml-multilingual-dataset-analyzing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Ouyang, Yingfeng Luo, JingBo Zhu, et al.*2026*
673. **[BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization](https://md.research.elamur.ai/free/en/papers/reddy-2026-biasgrpo-stabilizing-bias-mitigation-high/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saket Reddy, Ke Yang, ChengXiang Zhai*2026*
674. **[Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloom's Taxonomy](https://md.research.elamur.ai/free/en/papers/zhang-2026-bloom-eval-hierarchical-evaluation-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fei Zhang, Zhe Zhao, HaiBin Wen, et al.*2026*
675. **[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*
676. **[Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-calibrated-progressive-distillation-co-designing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mengxiang Zhang, Lingyuan Liu*2026*
677. **[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*
678. **[CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations](https://md.research.elamur.ai/free/en/papers/yu-2026-camo-agentic-framework-automated-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiangning Yu, Yuwei Guo, Yuqi Hou, et al.*2026*
679. **[Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark](https://md.research.elamur.ai/free/en/papers/luo-2026-can-ai-revise-research-papers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Luo, Hong Huang, Jianxun Lian, et al.*2026*
680. **[Cards Against Contamination: TCG-Bench for Difficulty-Scalable Multilingual LLM Reasoning](https://md.research.elamur.ai/free/en/papers/alrashed-2026-cards-against-contamination-tcg-bench/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sultan AlRashed, Jianghui Wang, Francesco Orabona*2026*
681. **[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*
682. **[CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-centaurta-self-improving-human-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lei Wang, Min Huang, Eduard Dragut*2026*
683. **[CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation](https://md.research.elamur.ai/free/en/papers/tian-2026-coggen-cognitively-inspired-recursive-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kuo Tian, Pengfei Sun, Zhen Wu, et al.*2026*
684. **[Combining Distantly Supervised Models with In Context Learning for Monolingual and Cross-Lingual Relation Extraction](https://md.research.elamur.ai/free/en/papers/rathore-2026-combining-distantly-supervised-models-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vipul Kumar Rathore, Malik Hammad Faisal, Parag Singla, et al.*2026*
685. **[Confidence-Aware Ranker Ensembles for Robust In-Context Knowledge Editing](https://md.research.elamur.ai/free/en/papers/nair-2026-confidence-aware-ranker-ensembles-robust/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tejal Nair, Mahmud Wasif Nafee, Maiqi Jiang, et al.*2026*
686. **[Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most](https://md.research.elamur.ai/free/en/papers/yasir-2026-confirming-correct-missing-rest-llm/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tahreem Yasir, Wenbo Li, Sam Gilson, et al.*2026*
687. **[Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*
688. **[Convergent Demographic Utility Hierarchies: Geometry of Intersectional Values in LLMs](https://md.research.elamur.ai/free/en/papers/sainath-2026-convergent-demographic-utility-hierarchies-geometry/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pravish Sainath*2026*
689. **[Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models](https://md.research.elamur.ai/free/en/papers/ning-2026-critic-rule-induction-improving-temporal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingsong Ning, Fu Zhang, Jingwei Cheng, et al.*2026*
690. **[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*
691. **[CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation](https://md.research.elamur.ai/free/en/papers/yuan-2026-ct-finebench-diagnostic-fidelity-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruifeng Yuan, Wanxing Chang, Weiwei Cao, et al.*2026*
692. **[DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing](https://md.research.elamur.ai/free/en/papers/zhang-2026-deepsynth-eval-objectively-evaluating-information/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, et al.*2026*
693. **[Defeating Cerberus: Privacy-Leakage Mitigation in Vision Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-defeating-cerberus-privacy-leakage-mitigation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Boyang Zhang, Istemi Ekin Akkus, Ruichuan Chen, et al.*2026*
694. **[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*
695. **[Detecting Hallucinations in Authentic LLM–Human Interactions](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yujie Ren, Niklas Gruhlke, Anne Lauscher*2026*
696. **[Detection of Adversarial Prompts with Model Predictive Entropy](https://md.research.elamur.ai/free/en/papers/rubenbauer-2026-detection-adversarial-prompts-model-predictive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Franziska Rubenbauer, Sebastian Steindl, Patrick Levi, et al.*2026*
697. **[Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-diagnose-then-repair-two-stage/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ji Hun Wang, Siyu Wu*2026*
698. **[DialDefer: A Framework for Detecting and Mitigating LLM Dialogic Deference](https://md.research.elamur.ai/free/en/papers/rabbani-2026-dialdefer-framework-detecting-mitigating-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.*2026*
699. **[DiNO: Disinformation Narrative Observer](https://md.research.elamur.ai/free/en/papers/sosnowski-2026-dino-disinformation-narrative-observer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska, et al.*2026*
700. **[Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*

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