Elamur Research⌕
☰
home / authors / Potsawee Manakul / cited by / page 2

Who cites Potsawee Manakul

608 citations of their works from 604 papers of our library (of the 149,439 whose bibliographies we read) · 163 with a page here, the most cited first · page 2 of 2 · 101–163 · ← Potsawee Manakul

1 2

  1. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
  2. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
  3. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
  4. 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
  5. rematchka at ArabicNLU2024: Evaluating Large Language Models for Arabic Word Sense and Location Sense DisambiguationArabic Natural Language Processing Conference (ArabicNLP)Reem Abdel-Salam2024 · 4 citations
  6. A Human-in/on-the-Loop Framework for Accessible Text GenerationLanguage Resources and Evaluation Conference (LREC)Lourdes Moreno, Paloma Martínez2026 · 3 citations
  7. AudioJudge: Understanding What Works in Large Audio Model Based Speech EvaluationConference of the European Chapter of the Association for Computational Linguistics (EACL)Potsawee Manakul, Woody Haosheng Gan, Michael J Ryan, et al.2026 · 3 citations
  8. Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding LayersarXiv:2503.02851Zicong He; Boxuan Zhang;, Lu Cheng2025 · 3 citations
  9. AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanran Luo, Wentao Qiu, Wanru Zhao, et al.2026 · 2 citations
  10. Argument-Based Consistency in Toxicity Explanations of LLMsFindings of the Association for Computational LinguisticsRamaravind Kommiya Mothilal, Joanna Roy, Syed Ishtiaque Ahmed, et al.2026 · 2 citations
  11. 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
  12. Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural FeaturesConference of the European Chapter of the Association for Computational Linguistics (EACL)Alberto Testoni, Iacer Calixto2026 · 2 citations
  13. SELENE: Selective and Evidence-Weighted LLM Debating for Efficient and Reliable ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Akshay Verma, Swapnil Gupta, Deepak Gupta, et al.2026 · 2 citations
  14. Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Schreieder, Tim Schopf, Michael Färber2026 · 1 citation
  15. 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
  16. FaithLens: Detecting and Explaining Faithfulness HallucinationFindings of the Association for Computational LinguisticsShuzheng Si, Qingyi Wang, Haozhe Zhao, et al.2026 · 1 citation
  17. HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination TaxonomyAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Xinyu Hu, Zhenghan Yu, et al.2026 · 1 citation
  18. HSE NLP TEAM at MEDIQA-SYNUR 2026: Consensus Adjudication Ensemble (ACE): Balancing Precision and Recall for Schema-Bystander Clinical ExtractionWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECAirat A. Valiev2026 · 1 citation
  19. RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald2026 · 1 citation
  20. A multilingual hallucination benchmarkWorkshop on the Role of Resources in the Age of Large Language ModelsFreja Thoresen, Dan Saattrup Smart2026
  21. Are Social Biases in LLMs Consistent across Generative Tasks? A Case Study for BasqueLanguage Resources and Evaluation Conference (LREC)Muitze Zulaika, Xabier Saralegi, Julia Shershneva, et al.2026
  22. Benchmarking LLM's Capability in Reasoning over Conflicting Web ReferencesAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhen Yuan, Rui Kong, Dongze Li, et al.2026
  23. Beyond Noise: Characterizing Creative Potential in Unverifiable LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Yan, Chunhong Zhang, Haiyu Zhao, et al.2026
  24. Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue SummarizationFindings of the Association for Computational LinguisticsXiaoyong Mei, Tingting Zuo, Da Chen, et al.2026
  25. 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
  26. Calibration-Aware Policy Optimization for Reasoning LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Wang, Xingzhou Lou, Meiqi Wu, et al.2026
  27. Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based StudyFindings of the Association for Computational LinguisticsYuanjun Zhang, Mourad Oussalah2026
  28. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
  29. Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness LabelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hikari Tanaka, Atsushi Keyaki, Mamoru Komachi2026
  30. Decomposed Prompting Does Not Fix Knowledge Gaps, But Helps Models Say “I Don't Know”Findings of the Association for Computational LinguisticsDhruv Madhwal, Lyuxin David Zhang, Dan Roth, et al.2026
  31. Detecting Hallucinations in Authentic LLM–Human InteractionsLanguage Resources and Evaluation Conference (LREC)Yujie Ren, Niklas Gruhlke, Anne Lauscher2026
  32. FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMsFindings of the Association for Computational LinguisticsAlbert Sawczyn, Jakub Binkowski, Denis Janiak, et al.2026
  33. Ghost Context: Measuring Cross-Context Interference in Long-Context Language ModelsWorkshop on Trustworthy NLPRohith Namboothiri2026
  34. HalluZig: Hallucination Detection using Zigzag PersistenceConference of the European Chapter of the Association for Computational Linguistics (EACL)Shreyas N. Samaga, Gilberto Gonzalez Arroyo, Tamal K. Dey2026
  35. hermeneutichools at SemEval-2026 Task 4: Multiperspectivity as a Resource for Narrative Similarity PredictionInternational Workshop on Semantic Evaluation (SemEval)Max Upravitelev, Veronika Solopova, Jing Yang, et al.2026
  36. HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Shen, Jiyuan Liu, Yunhe Pang, et al.2026
  37. Islamic Large Language Models: From Knowledge Acquisition to Trustworthy and Hallucination-Resistant AIarXiv:2606.16629Mohammed Amine Mouhoub2026
  38. JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query GenerationFindings of the Association for Computational LinguisticsFan Xu, Huixuan Zhang, Zhenliang Zhang, et al.2026
  39. LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Wang, Jiahao Li, Licheng Zhang, et al.2026
  40. LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL QueriesFindings of the Association for Computational LinguisticsXuancheng Ren, Shijing Hu, Zhihui Lu, et al.2026
  41. Learning Uncertainty from Sequential Internal Dispersion in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.2026
  42. LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic MetricsInternational Conference on Computational Processing of PortugueseArthur Scalercio, Maria José Finatto, Aline Paes2026
  43. LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.2026
  44. Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-JudgmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Mi, Qiang Sheng, Shaofei Wang, et al.2026
  45. 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
  46. Mapping the Course for Prompt-based Structured PredictionConference of the European Chapter of the Association for Computational Linguistics (EACL)Matt Pauk, Maria Leonor Pacheco2026
  47. Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
  48. MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation EvaluationWorkshop on Multimodal Augmented Generation via Multimodal RetrievalZehang Wei, JiaXin Dai, Jiamin Yan, et al.2026
  49. Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African LanguagesFindings of the Association for Computational LinguisticsSello Ralethe, Jan Buys2026
  50. Opportunities and Challenges of LLMs in Education: An NLP PerspectiveWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sowmya Vajjala, Bashar Alhafni, Stefano Banno, et al.2026
  51. PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the BeginningFindings of the Association for Computational LinguisticsLangming Liu, Kangtao Lv, Haibin Chen, et al.2026
  52. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
  53. RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihang Liu, Fang Zhouhua, Hui Liu, et al.2026
  54. Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
  55. The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic TruthfulnessAnnual Meeting of the Association for Computational Linguistics (ACL)Yueheng Mao, Min Yu, Gengwang Li, et al.2026
  56. Think Faster Than Words: Efficient LLM Chain-of-Thought Reasoning via Dynamic Shortcut DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Liu, Yanhao Wang, Min Zhang, et al.2026
  57. TPA: Next Token Probability Attribution for Detecting Hallucinations in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Pengqian Lu, Jie Lu, Anjin Liu, et al.2026
  58. UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained AssessmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.2026
  59. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026
  60. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  61. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMsFindings of the Association for Computational LinguisticsZhongxiang Sun, Yi Zhan, Chenglei Shen, et al.2026
  62. “Excuse me, may I say something...” CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert CollaborationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Wu, Jinhong Yu, Jingwei Xiong, et al.2026
  63. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

1 2

441 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/potsawee-manakul/cited-by/page/2/