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Who cites Huaxiu Yao

1,752 citations of their works from 1,641 papers of our library (of the 149,439 whose bibliographies we read) · 421 with a page here, the most cited first · page 4 of 5 · 301–400 · ← Huaxiu Yao

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  1. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
  2. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
  3. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
  4. SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Gayathri Saranathan, Cong Xu, Mahammad Parwez Alam, et al.2025 · 5 citations
  5. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
  6. Anthropomimetic Uncertainty: What Verbalized Uncertainty in Language Models is MissingTransactions of the Association for Computational Linguistics (TACL)Dennis Ulmer, Alexandra Lorson, Ivan Titov, et al.2026 · 4 citations
  7. BLUR: A Bi-Level Optimization Approach for LLM UnlearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, et al.2026 · 4 citations
  8. GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2026 · 4 citations
  9. Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Shunqi Mao, Chaoyi Zhang, Weidong Cai2026 · 4 citations
  10. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
  11. Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Hsiung, Tianyu Pang, Yung-Chen Tang, et al.2026 · 4 citations
  12. Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMsarXiv:2505.23845 · UncertaiNLP Workshop at Empirical Methods in Natural Language Processing 2025 (EMNLP 2025)Jakub Podolak, Rajeev Verma2025 · 4 citations
  13. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
  14. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zirui Song, Qian Jiang, Mingxuan Cui, et al.2026 · 3 citations
  15. Confidence Should Be Calibrated More Than One Turn DeepAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, et al.2026 · 3 citations
  16. Explaining Sources of Uncertainty in Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Sun, Greta Warren, Irina Shklovski, et al.2026 · 3 citations
  17. How Quantization Shapes Bias in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.2026 · 3 citations
  18. IndicJR: A Judge-Free Benchmark of Jailbreak Robustness in South Asian LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Priyaranjan Pattnayak, Sanchari Chowdhuri2026 · 3 citations
  19. SynthRL: Scaling Visual Reasoning with Verifiable Data SynthesisFindings of the Association for Computational LinguisticsZijian Wu, Jinjie Ni, Xiangyan Liu, et al.2026 · 3 citations
  20. ToolGate: Contract-Grounded and Verified Tool Execution for LLMsFindings of the Association for Computational LinguisticsYanming Liu, Xinyue Peng, Jiannan Cao, et al.2026 · 3 citations
  21. VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information BottleneckAnnual Meeting of the Association for Computational Linguistics (ACL)Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.2026 · 3 citations
  22. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
  23. Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Tiancheng Xing, Jerry Li, Yixuan Du, et al.2026 · 2 citations
  24. BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Bryan Chen Zhengyu Tan, Weihua Zheng, Zhengyuan Liu, et al.2026 · 2 citations
  25. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
  26. Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model ReasoningFindings of the Association for Computational LinguisticsZhenjiang Mao, Anirudhh Venkat, Artem Bisliouk, et al.2026 · 2 citations
  27. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
  28. LVLM-Aware Multimodal Retrieval for RAG-Based Medical Diagnosis with General-Purpose ModelsFindings of the Association for Computational LinguisticsNir Mazor, Tom Hope2026 · 2 citations
  29. Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Shen, Ting Ying, Jiajie Lu, et al.2026 · 2 citations
  30. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
  31. The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2026 · 2 citations
  32. WASIL: In-the-Wild Arabic Spoken Interactions with LLMsarXiv:2605.16364Zien Sheikh Ali, Hamdy Mubarak, Soon-Gyo Jung, et al.2026 · 2 citations
  33. ADVICE: Answer-Dependent Verbalized Confidence EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)KiJung Seo, Sehun Lim, Taeuk Kim2026 · 1 citation
  34. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language ModelsFindings of the Association for Computational LinguisticsYixu Wang, Xin Wang, Yang Yao, et al.2026 · 1 citation
  35. Aligned Probing: Relating Toxic Behavior and Model InternalsTransactions of the Association for Computational Linguistics (TACL)Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.2026 · 1 citation
  36. BaseCal: Unsupervised Confidence Calibration via Base Model SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Wanli Yang, Junwei Zhang, et al.2026 · 1 citation
  37. Can Models Help Us Create Better Models? Evaluating LLMs as Data ScientistsFindings of the Association for Computational LinguisticsMichał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz, et al.2026 · 1 citation
  38. Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy BackdoorsAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Yin, Tianxu Han, Naen Xu, et al.2026 · 1 citation
  39. Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanbin Yin, Kun Zhou, Zhen Wang, et al.2026 · 1 citation
  40. Evaluating Linguistic Knowledge of LLMs in Tamil: The ILAKKANAM Benchmarkworkshop on Challenges in Processing South Asian LanguagesJeyarajalingam Varsha, Menan Velayuthan, Sumirtha Karunakaran, et al.2026 · 1 citation
  41. From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language ModelsFindings of the Association for Computational LinguisticsJiaxin Zhang, Wendi Cui, Zhuohang Li, et al.2026 · 1 citation
  42. HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationInternational Workshop on Semantic Evaluation (SemEval)Abdullah Shaikh, Zain Naqi, Taha Zahid, et al.2026 · 1 citation
  43. Investigating the Representation of Backchannels and Fillers in Fine-tuned Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Leyi Lao, Langchu Huang, et al.2026 · 1 citation
  44. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
  45. On Safety Risks in Experience-Driven Self-Evolving AgentsFindings of the Association for Computational LinguisticsWeixiang Zhao, Yichen Zhang, Yingshuo Wang, et al.2026 · 1 citation
  46. RAFFLES: Reasoning-based Attribution of Faults for LLM SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chenyang Zhu, Spencer Hong, Jingyu Wu, et al.2026 · 1 citation
  47. ReAttn: Improving Attention-based Re-ranking via Attention Re-weightingFindings of the Association for Computational LinguisticsYuxing Tian, Fengran Mo, Weixu Zhang, et al.2026 · 1 citation
  48. Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent ParadigmsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinlin Wang2026 · 1 citation
  49. SafeAgent: Safeguarding LLM Agents via an Automated Risk SimulatorAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyang Zhou, Weidong Wang, Lin Lu, et al.2026 · 1 citation
  50. The Mighty ToRR: A Benchmark for Table Reasoning and Robustness in LLMsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraShir Ashury-Tahan, Yifan Mai, Rajmohan C, et al.2026 · 1 citation
  51. User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Wu, Roshni Kaushik, Wenkai Li, et al.2026 · 1 citation
  52. Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuliang Liu, Songbo Yang, Dong Fang, et al.2026 · 1 citation
  53. AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey MotivationarXiv:2506.14634 · Survey Research Methods (2025)Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß, et al.2025 · 1 citation
  54. Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election StudyarXiv:2509.25063Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier, et al.2025 · 1 citation
  55. Aquila2 Technical ReportarXiv:2408.07410Bo-Wen Zhang, Liangdong Wang, Jijie Li, et al.2024 · 1 citation
  56. Accelerating LLM Fine-Tuning via Embedding Knowledge TransferFindings of the Association for Computational LinguisticsMeishu Peng, Ziyue Zhang, Yi Zhang, et al.2026
  57. Actionable Interpretability for Churn Classification: A Text Bottleneck Model Case Study at a Major Telecom ProviderAnnual Meeting of the Association for Computational Linguistics (ACL)Adrian Sauter, Vera Neplenbroek, Georgios Vlassopoulos, et al.2026
  58. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content AnalysisFindings of the Association for Computational LinguisticsDong She, Xianrong Yao, Liqun Chen, et al.2026
  59. Anchoring Depends on Confidence and Post-Training in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hillary N. Owusu, Naomi H. Feldman2026
  60. ArabicNumBench: Evaluating Arabic Number Reading in Large Language ModelsarXiv:2602.18776Anas Alhumud, Abdulaziz Alhammadi, Muhammad Badruddin Khan2026
  61. Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin ToneFindings of the Association for Computational LinguisticsShaivi Malik, Hasnat Md Abdullah, Sriparna Saha, et al.2026
  62. Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG SystemsWorkshop on Trustworthy NLPRohith Namboothiri2026
  63. Automatic Paper Analysis and Categorisation for Systematic Reviews with Combined Reasoning-Augmented SFT and DAPO RLFindings of the Association for Computational LinguisticsMichela Lorandi, Anya Belz, Simon Mille, et al.2026
  64. Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement LearningFindings of the Association for Computational LinguisticsDuygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi, et al.2026
  65. Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian DataLanguage Resources and Evaluation Conference (LREC)Iriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.2026
  66. BenchNavigator: A Discovery Interface for Comparing LLM BenchmarksWorkshop on Evaluating Evaluations (EvalEval)Anna Sokol, Inge Vejsbjerg, Elizabeth M. Daly, et al.2026
  67. Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMsFindings of the Association for Computational LinguisticsTristan Williams, Franziska Weeber, Sebastian Padó, et al.2026
  68. Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark EvaluationFindings of the Association for Computational LinguisticsWenbo Zhang, Hengrui Cai, Wenyu Chen2026
  69. BrowseConf: Confidence-Guided Test-Time Scaling for Web AgentsFindings of the Association for Computational LinguisticsLitu Ou, Kuan Li, Huifeng Yin, et al.2026
  70. Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.2026
  71. CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ashish Mishra, Tarun Kumar, Arpit Shah, et al.2026
  72. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsarXiv:2603.09993Jon Chun, Hannah Sussman, Adrian Mangine, et al.2026
  73. Charting the European LLM Benchmarking Landscape: A New Taxonomy and RegistryShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECSpela Vintar, Mojca Brglez, Taja Kuzman Pungeršek, et al.2026
  74. Compositional Steering of Large Language Models with Steering TokensAnnual Meeting of the Association for Computational Linguistics (ACL)Gorjan Radevski, Kiril Gashteovski, Giwon Hong, et al.2026
  75. Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with ConstraintsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.2026
  76. DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Yang, Jin Wang, Xuejie Zhang2026
  77. D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware DecodingFindings of the Association for Computational LinguisticsJinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, et al.2026
  78. Evaluating Language Model Pluralism through In-the-wild Crowd DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.2026
  79. Evaluating LLM Style Transfer Through Readability-Based Age AssessmentsInternational Workshop on Spoken Dialogue System TechnologyMaria Di Maro, Antonio Origlia, Leonilda Bilo, et al.2026
  80. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
  81. Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for ClassificationFindings of the Association for Computational LinguisticsElena Merdjanovska, Omar Zaidan, Andreas Rücklé2026
  82. ExpressivityBench: Can LLMs Communicate Implicitly?Findings of the Association for Computational LinguisticsJoshua Tint, Som Sagar, Aditya Taparia, et al.2026
  83. FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Shan, Kun Zhang, Qiming Xu, et al.2026
  84. Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge GroundingLanguage Resources and Evaluation Conference (LREC)Priyanshu Priya, Hardik Goyal, Asif Ekbal2026
  85. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use EnvironmentsFindings of the Association for Computational LinguisticsAmir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.2026
  86. FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained EvaluationFindings of the Association for Computational LinguisticsJuhyun Oh, Nayeon Lee, Chani Jung, et al.2026
  87. Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model FactualityFindings of the Association for Computational LinguisticsMike Zhang, Johannes Bjerva, Russa Biswas2026
  88. From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQAFindings of the Association for Computational LinguisticsJing Zhang, Lianghong Guo, Yanlin Wang, et al.2026
  89. From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public SectorarXiv:2608.17827Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026
  90. GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaohan Zhang, Ziquan Liu, Ioannis Patras2026
  91. GSM-Noise: Exploring and Enhancing Large Language Models' Reasoning under Noisy InputsFindings of the Association for Computational LinguisticsZhengxin Zhang, Chengyu Huang, Xufu Liu, et al.2026
  92. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
  93. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  94. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  95. Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rheeya Uppaal, Phu Mon Htut, Min Bai, et al.2026
  96. Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Peiru Yang, Haoran Zheng, Tong Ju, et al.2026
  97. Lexical Popularity: Quantifying the Impact of Pre-training for LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, Tommaso Caselli2026
  98. LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.2026
  99. Mapping the Course for Prompt-based Structured PredictionConference of the European Chapter of the Association for Computational Linguistics (EACL)Matt Pauk, Maria Leonor Pacheco2026
  100. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.2026

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