---
title: "Who cites Wenbiao Yin — page 11 — 3,360 papers of our library"
description: "3,360 papers of the Elamur Research library cite the works of Wenbiao Yin, found in their bibliographies · page 11 of 11 · 1001–1098; the…"
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---
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# Who cites Wenbiao Yin

3,441 citations of their works from 3,360 papers of our library (of the 149,439 whose bibliographies we read) · 1,098 with a page here, the most cited first · page 11 of 11 · 1001–1098 · [← Wenbiao Yin](https://md.research.elamur.ai/free/en/authors/wenbiao-yin/)

[← prev](https://md.research.elamur.ai/free/en/authors/wenbiao-yin/cited-by/page/10/) [1](https://md.research.elamur.ai/free/en/authors/wenbiao-yin/cited-by/) … [10](https://md.research.elamur.ai/free/en/authors/wenbiao-yin/cited-by/page/10/) **11**

1001. **[Subject-level Inference for Realistic Text Anonymization Evaluation](https://md.research.elamur.ai/free/en/papers/oh-2026-subject-level-inference-realistic-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh, et al.*2026*
1002. **[Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/so-2026-superficial-success-vs-internal-breakdown/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Namyeong So, Seokgyu Jang, Taeuk Kim*2026*
1003. **[Suppressing Final Layer Hidden State Jumps in Transformer Pretraining](https://md.research.elamur.ai/free/en/papers/shibata-2026-suppressing-final-layer-hidden-state/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.*2026*
1004. **[Switching Heads and Softening Tokens: Turnkey Solutions to Visually Grounded Document QA](https://md.research.elamur.ai/free/en/papers/wen-2026-switching-heads-softening-tokens-turnkey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ximing Wen, Wenbo Li, Sudipta Paul, et al.*2026*
1005. **[SynthAgent: Adapting Web Agents with Synthetic Supervision](https://md.research.elamur.ai/free/en/papers/wang-2026-synthagent-adapting-web-agents-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.*2026*
1006. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhe Wu, Jian Yang, Zhongjiang He, et al.*2026*
1007. **[Targeted Exploration via Unified Entropy Control for Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-targeted-exploration-unified-entropy-control/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Wang, Lai Wei, Yanzhi Zhang, et al.*2026*
1008. **[Targeting the Needle, Ignoring the Haystack: Anchoring Crucial Cues for Evolving Scam Call Detection via an LLM-Assisted Classifier](https://md.research.elamur.ai/free/en/papers/wu-2026-targeting-needle-ignoring-haystack-anchoring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Wu, Qinliang Su, Jianxing Yu, et al.*2026*
1009. **[TARo: Token-level Adaptive Routing for LLM Test-time Alignment](https://md.research.elamur.ai/free/en/papers/rai-2026-taro-token-level-adaptive-routing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arushi Rai, Qiang Zhang, Hanqing Zeng, et al.*2026*
1010. **[Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-task-stratified-knowledge-scaling-laws/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenxi Zhou, Pengfei Cao, Jiang Li, et al.*2026*
1011. **[Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies](https://md.research.elamur.ai/free/en/papers/ye-2026-teaching-language-models-check-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson*2026*
1012. **[Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation](https://md.research.elamur.ai/free/en/papers/mule-2026-teaching-language-models-forecast-research/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Srujan P Mule, Aniketh Garikaparthi, Manasi Patwardhan*2026*
1013. **[Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards](https://md.research.elamur.ai/free/en/papers/zeng-2026-teaching-llm-be-persuasive-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xia Zeng, Yihan Chen, Luhui Liu, et al.*2026*
1014. **[Teaching Values to Machines: Simulating Human-Like Behavior in LLMs](https://md.research.elamur.ai/free/en/papers/yehudai-2026-teaching-values-machines-simulating-human/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Asaf Yehudai, Naama Rozen, Ariel Gera*2026*
1015. **[TeachMaster: Generative Teaching via Code](https://md.research.elamur.ai/free/en/papers/wang-2026-teachmaster-generative-teaching-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuheng Wang, Runde Yang, Lin Wu, et al.*2026*
1016. **[Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-evidence-chain-temporal-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shihao Liu, Xiaofei Zhou, Bo Wang, et al.*2026*
1017. **[Text Analytics Evaluation Framework: A Case Study on LLMs and Social Media](https://md.research.elamur.ai/free/en/papers/shi-2026-text-analytics-evaluation-framework-case/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Yuefeng Shi, Nedjma Ousidhoum, Jose Camacho-Collados*2026*
1018. **[Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context](https://md.research.elamur.ai/free/en/papers/zhu-2026-text-distribution-prediction-quantile-tokens/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhu, Yuan Zhuang, Nikhita Vedula, et al.*2026*
1019. **[Text-to-SQL Task-oriented Dialogue Ontology Construction](https://md.research.elamur.ai/free/en/papers/vukovic-2026-text-sql-task-oriented-dialogue/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Renato Vukovic, Carel van Niekerk, Michael Heck, et al.*2026*
1020. **[The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check](https://md.research.elamur.ai/free/en/papers/lu-2026-bitter-lesson-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2026*
1021. **[The Broken Telephone Changes Tone: Examining Nuanced Linguistic Cues in LLM Chains-of-Translation](https://md.research.elamur.ai/free/en/papers/nguyen-2026-broken-telephone-changes-tone-examining/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Quang Minh Nguyen, Maida Aizaz, Braahmi Padmakumar*2026*
1022. **[The Illusion of Specialization: Unveiling the Domain-Invariant “Standing Committee” in Mixture-of-Experts Models](https://md.research.elamur.ai/free/en/papers/wang-2026-illusion-specialization-unveiling-domain-invariant/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yan Wang, Yitao Xu, Nanhan Shen, et al.*2026*
1023. **[The Impact of Off-Policy Training Data on Probe Generalisation](https://md.research.elamur.ai/free/en/papers/skapars-2026-impact-off-policy-training-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.*2026*
1024. **[The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*
1025. **[The Relevance of Value Systems for Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/wiegand-2026-relevance-value-systems-offensive-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer*2026*
1026. **[The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games](https://md.research.elamur.ai/free/en/papers/zheng-2026-stackelberg-speaker-optimizing-persuasive-communication/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhang Zheng, Deheng Ye, Peilin Zhao, et al.*2026*
1027. [**The Surge of Anti-Semitism in German Social Media following the October 7 Attacks arXiv:2609.36290**Gregor Wiedemann, Daniel Wehrend*2026*](https://md.research.elamur.ai/free/en/papers/wiedemann-2026-surge-anti-semitism-german-social/)
1028. **[Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation](https://md.research.elamur.ai/free/en/papers/yu-2026-thermometer-thoughts-enhancing-llm-s/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, et al.*2026*
1029. **[Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai Script](https://md.research.elamur.ai/free/en/papers/zheng-2026-thesis-proposal-diagnosing-mitigating-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingting Zheng, Deyi Xiong*2026*
1030. **[Thesis Proposal: Intentional Inference for Insight Generation](https://md.research.elamur.ai/free/en/papers/onderkova-2026-thesis-proposal-intentional-inference-insight/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kristýna Onderková*2026*
1031. **[Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books](https://md.research.elamur.ai/free/en/papers/papoudakis-2026-think-before-you-write-qa/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Argyrios Papoudakis, Mirella Lapata, Frank Keller*2026*
1032. **[Think Earlier, Not Longer: Prompt Optimization via Reducing Unhealthy Exploration](https://md.research.elamur.ai/free/en/papers/wu-2026-think-earlier-not-longer-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ling-I Wu, Minyu Chen, Jingyang Li, et al.*2026*
1033. **[ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning](https://md.research.elamur.ai/free/en/papers/smirnov-2026-thinkbooster-unified-framework-seamless-test/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, et al.*2026*
1034. **[Thinking in Schemas: Robust Syllogistic Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/ranaldi-2026-thinking-schemas-robust-syllogistic-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Federico Ranaldi, Leonardo Ranaldi, Fabio Massimo Zanzotto, et al.*2026*
1035. **[Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry](https://md.research.elamur.ai/free/en/papers/sakib-2026-thinking-like-botanist-challenging-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin, et al.*2026*
1036. **[TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2026-tikmix-efficient-semi-dynamic-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Wang, Binbinliu, Fengze Liu, et al.*2026*
1037. **[TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale](https://md.research.elamur.ai/free/en/papers/wang-2026-tingis-real-time-risk-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jun Wang, Ziyin Zhang, Rui Wang, et al.*2026*
1038. **[TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs](https://md.research.elamur.ai/free/en/papers/xiao-2026-tokentiming-dynamic-alignment-method-universal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.*2026*
1039. **[Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models](https://md.research.elamur.ai/free/en/papers/shah-2026-too-nice-tell-truth-quantifying/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai*2026*
1040. **[Toward Equitable Machine Translation for Atypical Speech: An LLM Post-Correction Approach](https://md.research.elamur.ai/free/en/papers/pasion-2026-equitable-machine-translation-atypical-speech/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Grace Pasion, Ammon Shurtz, Stephen D. Richardson*2026*
1041. **[Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-grained-multi-granular-contrastive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Yang, Bing Han, Hui Wang, et al.*2026*
1042. **[Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning](https://md.research.elamur.ai/free/en/papers/ren-2026-robust-real-world-spreadsheet-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Houxing Ren, Mingjie Zhan, Zimu Lu, et al.*2026*
1043. **[Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Yang, Xuemeng Yang, Licheng Wen, et al.*2026*
1044. **[ToxReason: A Benchmark for Mechanistic Chemical Toxicity Reasoning via Adverse Outcome Pathway](https://md.research.elamur.ai/free/en/papers/park-2026-toxreason-benchmark-mechanistic-chemical-toxicity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jueon Park, WonJune Jang, Chanhwi Kim, et al.*2026*
1045. **[TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG](https://md.research.elamur.ai/free/en/papers/lu-2026-tpa-next-token-probability-attribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengqian Lu, Jie Lu, Anjin Liu, et al.*2026*
1046. **[TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding Tasks](https://md.research.elamur.ai/free/en/papers/xu-2026-tps-bench-evaluating-ai-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.*2026*
1047. **[TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization](https://md.research.elamur.ai/free/en/papers/wu-2026-trac-teacher-guided-token-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sitong Wu, Haoru Tan, Xichen Zhang, et al.*2026*
1048. **[TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios](https://md.research.elamur.ai/free/en/papers/tang-2026-trace-two-phase-rl-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shilin Tang, Zunyi Yin, Xuefeng Liang, et al.*2026*
1049. **[Tracing Relational Knowledge Recall in Large Language Models](https://md.research.elamur.ai/free/en/papers/popovic-2026-tracing-relational-knowledge-recall-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nicholas Popovič, Michael Färber*2026*
1050. **[Training-Free Test-Time Contrastive Learning for Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-training-free-test-time-contrastive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiwen Zheng, Kai Zhou, Jinwu Hu, et al.*2026*
1051. **[Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/xu-2026-travel-icd-tree-benchmarking-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinjie Xu, Yongqi Fan, Shuang-shuang Chen, et al.*2026*
1052. **[Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction](https://md.research.elamur.ai/free/en/papers/zhang-2026-tree-cot-rt-explainable-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zhang, Jiahao Wang, Zhenke Duan, et al.*2026*
1053. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026*
1054. **[Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/luo-2026-two-pathways-truthfulness-intrinsic-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Luo, Guangyue Peng, Wei Li, et al.*2026*
1055. **[U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents](https://md.research.elamur.ai/free/en/papers/su-2026-u-fold-dynamic-intent-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Su, Runnan Fang, Yeqiu Li, et al.*2026*
1056. **[Uncovering Strategic Egoism Behaviors in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-uncovering-strategic-egoism-behaviors-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaoyuan Zhang, Zonghao Ying, Aishan Liu, et al.*2026*
1057. **[Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization](https://md.research.elamur.ai/free/en/papers/xu-2026-understanding-preventing-entropy-collapse-rlvr/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Huimin Xu, Shuai Zhao, Xiaobao Wu, et al.*2026*
1058. **[Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story](https://md.research.elamur.ai/free/en/papers/vladislav-2026-unveiling-intrinsic-dimension-texts-academic/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pedashenko Vladislav, Laida Kushnareva, Yana Khassan Nibal, et al.*2026*
1059. **[V-RoLoRA: RLVR-Driven MoE Routing for Steerable Pluralistic Alignment](https://md.research.elamur.ai/free/en/papers/wang-2026-v-rolora-rlvr-driven-moe/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jing Wang, Yaomin Wu, Yinglin Wang, et al.*2026*
1060. **[VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization](https://md.research.elamur.ai/free/en/papers/yao-2026-vecinfer-efficient-llm-inference-low/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingyu Yao, Chenxu Yang, Zhengyang Tong, et al.*2026*
1061. **[Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/park-2026-verbal-r3-verbal-reranker-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangkwon Park, Donghun Kang, Jisoo Mok, et al.*2026*
1062. **[Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment](https://md.research.elamur.ai/free/en/papers/sha-2026-verifying-subjective-structured-multilingual-rewards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiu Sha, Mengxiao Zhu*2026*
1063. **[ViLegalLM: Language Models for Vietnamese Legal Text](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vilegallm-language-models-vietnamese-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen*2026*
1064. **[VLN-MME: Diagnosing MLLMs as Language-guided Visual Navigation Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-vln-mme-diagnosing-mllms-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xunyi Zhao, Gengze Zhou, Qi Wu*2026*
1065. **[VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training](https://md.research.elamur.ai/free/en/papers/zhu-2026-vrpo-rethinking-value-modeling-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingwei Zhu, Shihan Dou, Zhiheng Xi, et al.*2026*
1066. **[Web Sitemap Knowledge Can Enhance Autonomous Browsing](https://md.research.elamur.ai/free/en/papers/zhang-2026-web-sitemap-knowledge-can-enhance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuyao Zhang, Hongyu Lu, Jiajie Jin, et al.*2026*
1067. **[WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning](https://md.research.elamur.ai/free/en/papers/wang-2026-webclipper-efficient-evolution-web-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Wang, Zequn Xie, Dan Yang, et al.*2026*
1068. **[WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/liu-2026-webcoderbench-benchmarking-web-application-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenxu Liu, Yingjie Fu, Wei Yang, et al.*2026*
1069. **[Weight Tying Biases Token Embeddings Towards the Output Space](https://md.research.elamur.ai/free/en/papers/lopardo-2026-weight-tying-biases-token-embeddings/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Antonio Lopardo, Avyukth Harish, Catherine Arnett, et al.*2026*
1070. **[WeightLoRA: Keep Only Necessary Adapters](https://md.research.elamur.ai/free/en/papers/veprikov-2026-weightlora-keep-only-necessary-adapters/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.*2026*
1071. **[WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem](https://md.research.elamur.ai/free/en/papers/wang-2026-wenetspeech-wu-datasets-benchmarks-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengyou Wang, Mingchen Shao, Jingbin Hu, et al.*2026*
1072. **[What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation](https://md.research.elamur.ai/free/en/papers/tan-2026-what-does-llm-refinement-actually/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaomu Tan, Dawei Zhu, Ke Tran, et al.*2026*
1073. **[When 20 Agents Fail to Sort: The Distributed Sorting Benchmark for Scalable Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-when-20-agents-fail-sort/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin Yang, Junhao Wang, Bintao Tang, et al.*2026*
1074. **[When Bigger Isn't Better: Evaluating LLMs for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/ibrahim-2026-when-bigger-isn-t-better/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Mohamed Ibrahim, Abdullah Makki, Youssef Barakat, et al.*2026*
1075. **[When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure](https://md.research.elamur.ai/free/en/papers/xiao-2026-when-correct-beliefs-collapse-epistemic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.*2026*
1076. **[When Demographic Sensitivity Isn't What It Seems: Baseline-Aware Counterfactual Audits for Clinical NLP](https://md.research.elamur.ai/free/en/papers/yoo-2026-when-demographic-sensitivity-isn-t/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hyunwoo Yoo*2026*
1077. **[When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents](https://md.research.elamur.ai/free/en/papers/ning-2026-when-efficiency-becomes-vulnerability-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.*2026*
1078. **[When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning](https://md.research.elamur.ai/free/en/papers/philippy-2026-when-english-isn-t-best/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Fred Philippy, Siwen Guo, Jacques Klein, et al.*2026*
1079. **[When Facts Change: Temporal Knowledge Conflict Resolution in LLMs](https://md.research.elamur.ai/free/en/papers/wallat-2026-when-facts-change-temporal-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jonas Wallat, Wolfgang Nejdl, Sandipan Sikdar*2026*
1080. **[When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors](https://md.research.elamur.ai/free/en/papers/yang-2026-when-llms-read-tables-carelessly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqing Yang, Qi Zhu, Zhen Han, et al.*2026*
1081. **[When Models Decide and When They Bind: A Two-Stage Computation for Multiple-Choice Question Answering](https://md.research.elamur.ai/free/en/papers/wong-2026-when-models-decide-when-they/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hugh Mee Wong, Rick Nouwen, Albert Gatt*2026*
1082. **[When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models](https://md.research.elamur.ai/free/en/papers/shamsi-2026-when-prompt-optimization-becomes-jailbreaking/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zafir Shamsi, Nikhil Chekuru, Zachary Guzman, et al.*2026*
1083. **[When Seeing Is not Enough: Revealing the Limits of Active Reasoning in MLLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-when-seeing-is-not-enough/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongcheng Liu, Pingjie Wang, Yuhao Wang, et al.*2026*
1084. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/)
1085. **[When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-when-trust-tools-adaptive-tool/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruotao Xu, Yixin Ji, Yu Luo, et al.*2026*
1086. **[When “Correct” Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?](https://md.research.elamur.ai/free/en/papers/peng-2026-when-correct-is-not-safe/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yibo Peng, James Song, Lei Li, et al.*2026*
1087. **[Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention Heads](https://md.research.elamur.ai/free/en/papers/zhang-2026-where-cot-reasoning-commits-entropy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianhe Zhang, Yonghong Deng, Ping Jian, et al.*2026*
1088. **[Where meaning lives: Layer-wise accessibility of psycholinguistic features in encoder and decoder language models](https://md.research.elamur.ai/free/en/papers/tikhomirova-2026-where-meaning-lives-layer-wise/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taisiia Tikhomirova, Dirk U. Wulff*2026*
1089. **[Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-why-does-reinforcement-learning-generalize/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dan Shi, Zhuowen Han, Simon Ostermann, et al.*2026*
1090. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*
1091. **[Word Surprisal Correlates with Sentential Contradiction in LLMs](https://md.research.elamur.ai/free/en/papers/shi-2026-word-surprisal-correlates-sentential-contradiction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ning Shi, Bradley Hauer, David Basil, et al.*2026*
1092. **[Would LLMs be Good Historical Linguists and Chinese Dialect Learners?](https://md.research.elamur.ai/free/en/papers/liu-2026-would-llms-be-good-historical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yicheng Liu, Shumin Shi, Youchao Zhou, et al.*2026*
1093. **[YNU-HPCC at SemEval-2026 Task 6: Hierarchical Taxonomy Prompting and CoT Distillation for Political Clarity Classification](https://md.research.elamur.ai/free/en/papers/wen-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Canning Wen, Jin Wang, Xuejie Zhang*2026*
1094. **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqian Yu, Shuo Chen, Zhijiang Li, et al.*2026*
1095. **[“Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations](https://md.research.elamur.ai/free/en/papers/wu-2026-excuse-me-may-i-say/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Wu, Jinhong Yu, Jingwei Xiong, et al.*2026*
1096. **[“Sorry, Can't Help You”: How Large Language Models Judge Failures to Help Across Languages](https://md.research.elamur.ai/free/en/papers/nair-2026-sorry-can-t-help-you/) [Workshop on Cross-Cultural Considerations in NLP](https://md.research.elamur.ai/free/en/venues/c3nlp/)**Pavithra P M Nair, Gilad Gressel, Krishnashree Achuthan*2026*
1097. **[“Yuki Gets Sushi, David Gets Steak?”: Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations](https://md.research.elamur.ai/free/en/papers/wei-2026-yuki-gets-sushi-david-gets/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xuefeng Wei, Xuan Zhou, Yusuke Sakai, et al.*2026*
1098. **[Binary_Bunch at AraHealthQA Track 1: Arabic Mental Health Q&A Classification Using Data Augmentation and Transformer Models](https://md.research.elamur.ai/free/en/papers/bhattacharjee-2025-binary-bunch-arahealthqa-track-1/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sajib Bhattacharjee, Ratnajit Dhar, Kawsar Ahmed, et al.*2025*

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