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Who cites Meg Tong

688 citations of their works from 625 papers of our library (of the 149,439 whose bibliographies we read) · 141 with a page here, the most cited first · page 2 of 2 · 101–141 · ← Meg Tong

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  1. RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation SteeringFindings of the Association for Computational LinguisticsWencheng Ye, Xiaoyang Yuan, Yi Bin, et al.2026 · 1 citation
  2. Sounding vs. Being an Expert: Disentangling Authority, Register and Cultural Impact in Sycophantic LLMsFindings of the Association for Computational LinguisticsGabriele Maraia, Fabio Massimo Zanzotto, Leonardo Ranaldi2026 · 1 citation
  3. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
  4. Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning ChainsFindings of the Association for Computational LinguisticsSeunghyun Park, Yuanyuan Lei2026 · 1 citation
  5. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
  6. Why Steering Works: Toward a Unified View of Language Model Parameter DynamicsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziwen Xu, Chenyan WU, Hengyu Sun, et al.2026 · 1 citation
  7. Assertion-Conditioned Compliance: A Provenance-Aware Vulnerability in Multi-Turn Tool-Calling AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Daud Waqas, Aaryamaan Golthi, Erika Hayashida, et al.2026
  8. Bayesian Social Deduction with Graph-Informed Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shahab Rahimirad, Guven Gergerli, Lucia Romero, et al.2026
  9. 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
  10. 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
  11. Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation MonitoringAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohao Luo, Ying Wei, Rui Zhao2026
  12. 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
  13. Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Youngji Roh, Hyunjin Cho, Jaehyung Kim2026
  14. 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
  15. 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
  16. I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue SystemAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Zi Haur Pang, Yahui Fu, Koji Inoue, et al.2026
  17. Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Tian, Jie Xing, Ziming Li, et al.2026
  18. Knowledge Vector of Logical Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Wang, Yuanyuan Lei2026
  19. LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation SteeringarXiv:2607.06845Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al.2026
  20. Measuring Mechanistic Independence: Can Bias Be Removed Without Erasing Demographics?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Zhengyang Shan, Aaron Mueller2026
  21. Model Directions, Not Words: Mechanistic Topic Models Using Sparse AutoencodersTransactions of the Association for Computational Linguistics (TACL)Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.2026
  22. Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsRagib Amin Nihal, Rui Wen, Kazuhiro Nakadai, et al.2026
  23. Pause or Fabricate? Training Language Models for Grounded ReasoningFindings of the Association for Computational LinguisticsYiwen Qiu, Linjuan Wu, Yizhou Liu, et al.2026
  24. Probing and Steering Uncertainty in Biomedical Language Models: Representational Structure and Behavioral LimitsBioNLPDebmalya Pal2026
  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. Rational Synthesizers or Heuristic Followers? Analyzing LLMs in RAG-based Question-AnsweringFindings of the Association for Computational LinguisticsAtharv Naphade2026
  28. Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung2026
  29. SAME: Safety-Aware Model Editing Guided by Safety TransformationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiayi Wang, Shipeng Wang, Ji Wu, et al.2026
  30. Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language ModelsFindings of the Association for Computational LinguisticsZiyao Tang, Pengkun Jiao, Bin Zhu, et al.2026
  31. SteerForce at SemEval-2026 Task 11: Reducing Content Effects Using Layered Activation SteeringInternational Workshop on Semantic Evaluation (SemEval)Noah Tratzsch, Asmaa Al-Raian, Mounika Marreddy, et al.2026
  32. Steering LLMs Responses Towards Moral Foundations on the Norwegian MFQ-30arXiv:2609.21636Hans Andersen, David Dichas2026
  33. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Liu, Victor Bursztyn, Lin Ai, et al.2026
  34. The Impact of Off-Policy Training Data on Probe GeneralisationFindings of the Association for Computational LinguisticsAdrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.2026
  35. 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
  36. Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated NeuronsLanguage Resources and Evaluation Conference (LREC)Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago2026
  37. TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseFindings of the Association for Computational LinguisticsCheng Liu, Xiaolei Liu, Xingyu Li, et al.2026
  38. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
  39. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  40. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMsFindings of the Association for Computational LinguisticsZhongxiang Sun, Yi Zhan, Chenglei Shen, et al.2026
  41. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026

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