Elamur Research⌕
☰
home / authors / Roger Grosse / cited by / page 3

Who cites Roger Grosse

964 citations of their works from 902 papers of our library (of the 149,439 whose bibliographies we read) · 254 with a page here, the most cited first · page 3 of 3 · 201–254 · ← Roger Grosse

1 2 3

  1. In-Distribution Steering: Balancing Control and Coherence in Language Model GenerationLanguage Resources and Evaluation Conference (LREC)Arthur Vogels, Benjamin Wong, Yann Choho, et al.2026 · 1 citation
  2. Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchen Song, Aashiq Muhamed, Yujia Zheng, et al.2026 · 1 citation
  3. PARASITE: Conditional System Prompt Poisoning to Hijack LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Viet Pham, Thai Le2026 · 1 citation
  4. PseudoBench: Measuring How Agentic Auto-Research Fuels PseudosciencearXiv:2606.18060Xinyang Liao, Lingyu Li, Huacan Liu, et al.2026 · 1 citation
  5. 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
  6. SycoBench-600: Measuring Sycophancy and Correction Selectivity in LLM AssistantsFindings of the Association for Computational LinguisticsDebu Sinha2026 · 1 citation
  7. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationAnnual Meeting of the Association for Computational Linguistics (ACL)Terry Jingchen Zhang, Gopal Dev, Ning Wang, et al.2026 · 1 citation
  8. The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Giuseppe Russo, Debora Nozza, Paul Röttger, et al.2026 · 1 citation
  9. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
  10. Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiayi Zhang, Shu Yang, Junchao Wu, et al.2026 · 1 citation
  11. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesConference on Computational Natural Language Learning (CoNLL)Zhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
  12. TracrBench: Generating Interpretability Testbeds with Large Language ModelsarXiv:2409.13714Hannes Thurnherr, Jérémy Scheurer2024 · 1 citation
  13. AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model RepresentationsFindings of the Association for Computational LinguisticsYifei Yao, Hanrong Zhang, Mengnan Du2026
  14. At Your Own PACE: A Causal Framework for Evaluating EQ in LLMsFindings of the Association for Computational LinguisticsLei Lyu, Shengling Wang, Ke Chao, et al.2026
  15. 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
  16. Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety RectificationFindings of the Association for Computational LinguisticsXiangtao Meng, Yingkai Dong, Ning Yu, et al.2026
  17. Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMsFindings of the Association for Computational LinguisticsArnav Attri, Anuj Attri2026
  18. Compact Example-Based Explanations for Language ModelsFindings of the Association for Computational LinguisticsLoris Schoenegger, Benjamin Roth2026
  19. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  20. CoopValue: Revealing LLM Value Preferences Through Multi-Agent CooperationFindings of the Association for Computational LinguisticsZee Hen Tang, Mi-Yen Yeh2026
  21. 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
  22. Data Efficient RLVR via Off-Policy Influence GuidanceAnnual Meeting of the Association for Computational Linguistics (ACL)Erle Zhu, Dazhi Jiang, Yuan Wang, et al.2026
  23. 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
  24. 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
  25. Evaluating the Impact of SAE-based Language Steering on LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Sebastian Zwirner, Wentao Hu, Koshiro Aoki, et al.2026
  26. Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical EvidenceFindings of the Association for Computational LinguisticsKaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.2026
  27. 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
  28. From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ling Shi, Xinwei Wu, Xiaohu Zhao, et al.2026
  29. From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder FeaturesJoint Conference on Lexical and Computational Semantics (*SEM)Nakanyseth Vuth, Gilles Sérasset, Didier Schwab2026
  30. 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
  31. How Do LLMs Generate Contrastive Sentiments? A Mechanistic PerspectiveConference of the European Chapter of the Association for Computational Linguistics (EACL)Van Bach Nguyen, Jörg Schlötterer, Christin Seifert2026
  32. Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Dianyun Wang, Qingsen Ma, Yuhu Shang, et al.2026
  33. 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
  34. Knowledge is Not Enough: Injecting RL Skills for Continual AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Pingzhi Tang, Yiding Wang, Muhan Zhang2026
  35. Knowledge Vector of Logical Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Wang, Yuanyuan Lei2026
  36. Lexical Familiarity Predicts Processing Depth for Nonliteral Language in Large Language ModelsWorkshop on Trustworthy NLPLang-Ching Yeh, Yu-Chieh Wang, Shu-Kai Hsieh2026
  37. LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Zhang, Dongxia Wang, Yi Liu, et al.2026
  38. Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yusuke Yamauchi, Akiko Aizawa2026
  39. 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
  40. 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
  41. 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
  42. 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
  43. Representation-Guided Parameter-Efficient LLM UnlearningFindings of the Association for Computational LinguisticsZeguan Xiao, Lang Mo, Yun Chen, et al.2026
  44. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model BehaviorTransactions of the Association for Computational Linguistics (TACL)Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.2026
  45. Selective Span-Level Unlearning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaewon Yoon, Dongjun Kim, Hyun-Je Song2026
  46. Teaching Values to Machines: Simulating Human-Like Behavior in LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Asaf Yehudai, Naama Rozen, Ariel Gera2026
  47. 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
  48. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026
  49. 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
  50. Tracing Relational Knowledge Recall in Large Language ModelsFindings of the Association for Computational LinguisticsNicholas Popovič, Michael Färber2026
  51. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026
  52. Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative StoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Pedashenko Vladislav, Laida Kushnareva, Yana Khassan Nibal, et al.2026
  53. User-Assistant Bias in LLMsFindings of the Association for Computational LinguisticsXu Pan, Jingxuan Fan, Zidi Xiong, et al.2026
  54. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMsFindings of the Association for Computational LinguisticsZhongxiang Sun, Yi Zhan, Chenglei Shen, et al.2026

1 2 3

648 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/roger-grosse/cited-by/page/3/