🔗 Who cites «Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation»

381 papers of our library cite it (of the 149,439 whose bibliographies we read) · 88 with a page here, the most cited first · ← back to «Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation»

1. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
2. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
3. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
4. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 152 citations
5. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 149 citations
6. Evaluating the Moral Beliefs Encoded in LLMsConference on Neural Information Processing Systems (NeurIPS)Nino Scherrer, Claudia Shi, Amir Feder, et al.2023 · 129 citations
7. Fine-tuning Language Models for FactualityarXiv:2311.08401Katherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 127 citations
8. LM vs LM: Detecting Factual Errors via Cross ExaminationConference on Empirical Methods in Natural Language Processing (EMNLP)Roi Cohen, May Hamri, Mor Geva, et al.2023 · 126 citations
9. INSIDE: LLMs' Internal States Retain the Power of Hallucination DetectionarXiv:2402.03744Chao Chen, Kai Liu, Ze Chen, et al.2024 · 108 citations
10. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
11. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty QuantificationFindings of the Association for Computational LinguisticsEkaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.2024 · 96 citations
12. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
13. Selectively Answering Ambiguous QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Jeremy Cole, Michael Zhang, Daniel Gillick, et al.2023 · 84 citations
14. Quantifying Uncertainty in Answers from any Language Model and Enhancing their TrustworthinessAnnual Meeting of the Association for Computational Linguistics (ACL)Jiuhai Chen, Jonas Mueller2024 · 72 citations
15. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoying Zhang, Baolin Peng, Ye Tian, et al.2024 · 69 citations
16. LLMs Know More Than They Show: On the Intrinsic Representation of LLM HallucinationsarXiv:2410.02707Hadas Orgad, Michael Toker, Zorik Gekhman, et al.2024 · 68 citations
17. Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language ModelsFindings of the Association for Computational LinguisticsAlfonso Amayuelas, Kyle Wong, Liangming Pan, et al.2024 · 66 citations
18. Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
19. Unfamiliar Finetuning Examples Control How Language Models HallucinateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Katie Kang, Eric Wallace, Claire Tomlin, et al.2025 · 47 citations
20. LUQ: Long-text Uncertainty Quantification for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Caiqi Zhang, Fangyu Liu, Marco Basaldella, et al.2024 · 42 citations
21. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?Conference on Empirical Methods in Natural Language Processing (EMNLP)Gal Yona, Roee Aharoni, Mor Geva2024 · 40 citations
22. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
23. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
24. SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check ConsistencyarXiv:2311.01740Jiaxin Zhang, Zhuohang Li, Kamalika Das, et al.2023 · 28 citations
25. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
26. Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back HomeAnnual Meeting of the Association for Computational Linguistics (ACL)Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, et al.2025 · 21 citations
27. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
28. ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, et al.2025 · 14 citations
29. LoGU: Long-form Generation with Uncertainty ExpressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruihan Yang, Caiqi Zhang, Zhisong Zhang, et al.2025 · 13 citations
30. Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, et al.2025 · 13 citations
31. A Probabilistic Framework for LLM Hallucination Detection via Belief Tree PropagationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bairu Hou, Yang Zhang, Jacob Andreas, et al.2025 · 12 citations
32. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Hexiang Tan, Fei Sun, Sha Liu, et al.2025 · 12 citations
33. Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Gang Chen, et al.2025 · 11 citations
34. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
35. Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2025 · 11 citations
36. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.2025 · 10 citations
37. Thinking Out Loud: Do Reasoning Models Know When They're Right?Conference on Empirical Methods in Natural Language Processing (EMNLP)Qingcheng Zeng, Weihao Xuan, Leyang Cui, et al.2025 · 9 citations
38. Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Shiyu Ni, Keping Bi, Jiafeng Guo, et al.2025 · 9 citations
39. MUR: Momentum Uncertainty guided Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Yan, Fangzhi Xu, Rongman Xu, et al.2026 · 8 citations
40. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
41. 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
42. Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias ResultsAnnual Meeting of the Association for Computational Linguistics (ACL)Andrea Santilli, Adam Golinski, Michael Kirchhof, et al.2025 · 6 citations
43. 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
44. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Boxuan Wang, Zhuoyun Li, Xinmiao Huang, et al.2026 · 1 citation
53. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
54. 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
55. GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of ThoughtsFindings of the Association for Computational LinguisticsWenhao Zeng, Xuteng Zhang, Yuling Shi, et al.2026 · 1 citation
56. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.2026 · 1 citation
57. 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
58. Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqing Luo, Zongye Hu, Xiao Wang, et al.2026 · 1 citation
59. Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary SignalFindings of the Association for Computational LinguisticsShuyang Zhang, Zhixuan Liu, Zhichen Dong, et al.2026
60. AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?Findings of the Association for Computational LinguisticsHenan Sun, Kaichi Yu, Yuyao Wang, et al.2026
61. ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangyi Wang, Jiexiang Xu, Bingnan Yu, et al.2026
62. 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
63. Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QAAnnual Meeting of the Association for Computational Linguistics (ACL)Alberto Testoni, Iacer Calixto2026
64. 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
65. Concept rather than Document: Context Compression via AMR-based Conceptual EntropyFindings of the Association for Computational LinguisticsKaize Shi, Xueyao Sun, Xiaohui Tao, et al.2026
66. Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty DecompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Tanmoy Mukherjee, Thomas Bailleux, Pierre Marquis, et al.2026
67. DecoCal: Decoding with Calibration in Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Huixuan Zhang, Xiaojun Wan2026
68. Detection of Adversarial Prompts with Model Predictive EntropyFindings of the Association for Computational LinguisticsFranziska Rubenbauer, Sebastian Steindl, Patrick Levi, et al.2026
69. DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy InputsAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Zhang, Jiawei Zhang, Cong Gao, et al.2026
70. Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case StudyWorkshop on Clinical Natural Language Processing (Clinical NLP) @ LRECAngelo Ziletti, Leonardo D'Ambrosi2026
71. 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
72. EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jewon Yeom, Jaewon Sok, Seonghyeon Park, et al.2026
73. Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for ClassificationFindings of the Association for Computational LinguisticsElena Merdjanovska, Omar Zaidan, Andreas Rücklé2026
74. 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
75. 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
76. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Xu, Ningyuan Zhao, Yunzhi Yao, et al.2026
77. 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
78. LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL QueriesFindings of the Association for Computational LinguisticsXuancheng Ren, Shijing Hu, Zhihui Lu, et al.2026
79. 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
80. 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
81. On Temperature-Constrained Non-Deterministic Machine Translation: Potential and EvaluationFindings of the Association for Computational LinguisticsWeichuan Wang, Mingyang Liu, Chen Ma, et al.2026
82. Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shiping Yang, Jie Wu, Wenbiao Ding, et al.2026
83. RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsQinglin Zeng, Jusheng Zhang, Jing Yang, et al.2026
84. 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
85. Thesis Proposal: When Does an Agent Know It Is Lost? Confidence Trajectory Analysis for Tool-Using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenjiang Mao2026
86. Think Earlier, Not Longer: Prompt Optimization via Reducing Unhealthy ExplorationFindings of the Association for Computational LinguisticsLing-I Wu, Minyu Chen, Jingyang Li, et al.2026
87. Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data ScienceFindings of the Association for Computational LinguisticsJunkun Qiu, Min Huang, Qinghai Miao2026
88. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-EvaluationFindings of the Association for Computational LinguisticsSeongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.2026

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