Elamur Research⌕
☰
home / authors / Tamera Lanham / cited by / page 3

Who cites Tamera Lanham

778 citations of their works from 687 papers of our library (of the 149,439 whose bibliographies we read) · 237 with a page here, the most cited first · page 3 of 3 · 201–237 · ← Tamera Lanham

1 2 3

  1. Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMsFindings of the Association for Computational LinguisticsArnav Attri, Anuj Attri2026
  2. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  3. Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model TransferConference of the European Chapter of the Association for Computational Linguistics (EACL)Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina2026
  4. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
  5. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
  6. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
  7. 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
  8. DialDefer: A Framework for Detecting and Mitigating LLM Dialogic DeferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.2026
  9. Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, et al.2026
  10. 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
  11. Exploring Layer Activation Dynamic of CoT via Knowledge ProbeAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanxin Zhang, Jiajun Liu, Yao He, et al.2026
  12. Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical EvidenceFindings of the Association for Computational LinguisticsKaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.2026
  13. Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden DeliberationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongwoo Ryu, Soomin Kim, Jinsu Eun, et al.2026
  14. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.2026
  15. From Explicit to Implicit: A Theoretical Framework and Transfer Method for Preference Internalization in Language ModelsTransactions of the Association for Computational Linguistics (TACL)Binrui Wang, Yongping Du, Yu Pei, et al.2026
  16. HearSay Benchmark: Do Audio LLMs Leak What They Hear?Findings of the Association for Computational LinguisticsJin Wang, Kaiwen Luo, Liang Lin, et al.2026
  17. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral GranularitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Kewei Xu, Haoming Xu, et al.2026
  18. Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI DiscourseFindings of the Association for Computational LinguisticsHubert Plisiecki, Maria Leniarska, Jan Piotrowski, et al.2026
  19. KisMATH: Do LLMs Have Knowledge of Implicit Structures in Mathematical Reasoning?Transactions of the Association for Computational Linguistics (TACL)Soumadeep Saha, Akshay Chaturvedi, Saptarshi Saha, et al.2026
  20. Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language ModelsFindings of the Association for Computational LinguisticsKazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, et al.2026
  21. MERIT Feedback Elicits Better Bargaining in LLM NegotiatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Jihwan Oh, Murad Aghazada, Yooju Shin, et al.2026
  22. Mitigating Judgment Preference Bias in Large Language Models through Group-Based PollingFindings of the Association for Computational LinguisticsShuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.2026
  23. NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question AnsweringFindings of the Association for Computational LinguisticsVishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, et al.2026
  24. PRISM: Probing Reasoning, Instruction, and Source Memory in LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhe Wu, Guangyu Wang, Yuran Chen, et al.2026
  25. 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
  26. Quantifying and Mitigating Socially Desirable Responding in LLMs: A Desirability-Matched Graded Forced-Choice Psychometric StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Kensuke Okada, Yui Furukawa, Kyosuke Bunji2026
  27. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Peizhuo Lv, Ruihua Zhou, Yunpeng Li, et al.2026
  28. RELIC: Evaluating Complex Reasoning via the Recognition of Languages In-ContextTransactions of the Association for Computational Linguistics (TACL)Jackson Petty, Michael Y. Hu, Wentao Wang, et al.2026
  29. Teaching Values to Machines: Simulating Human-Like Behavior in LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Asaf Yehudai, Naama Rozen, Ariel Gera2026
  30. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026
  31. Through the Sentence Lens: Explainable Essay Scoring through Fine-Grained PredictionsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Daniel Mora Melanchthon, Stefan Keller, Andrea Horbach2026
  32. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
  33. Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and HumanitiesShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECWajdi Zaghouani2026
  34. TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QAAnnual Meeting of the Association for Computational Linguistics (ACL)Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.2026
  35. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
  36. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  37. Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention HeadsFindings of the Association for Computational LinguisticsTianhe Zhang, Yonghong Deng, Ping Jian, et al.2026

1 2 3

450 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/tamera-lanham/cited-by/page/3/