Who cites Adam Tauman Kalai
- DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionZ. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
- Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningPranjal Aggarwal, Sean Welleck2025 · 119 citations
- Intrinsic Bias Metrics Do Not Correlate with Application BiasSeraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, et al.2021 · 116 citations
- CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionAlex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 113 citations
- Quiet-STaR: Language models can teach themselves to think before speaking2024 · 113 citations
- Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsKanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
- ExpertQA: Expert-Curated Questions and Attributed AnswersChaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 109 citations
- TokenSkip: Controllable Chain-of-Thought Compression in LLMsHeming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
- UI-TARS: Pioneering Automated GUI Interaction with Native AgentsYujia Qin, Yining Ye, Junjie Fang, et al.2025 · 101 citations
- WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language modelsBenjamin Minixhofer, Fabian Paischer, Navid Rekabsaz2022 · 90 citations
- Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
- Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle*Yang Trista Cao, Hal Daumé III2021 · 71 citations
- VALUE: Understanding Dialect Disparity in NLUCaleb Ziems, Jiaao Chen, Camille Harris, et al.2022 · 65 citations
- The Moral Foundations Reddit CorpusJackson P. Trager, Alireza S. Ziabari, Elnaz Rahmati, et al.2026 · 22 citations
- The Arabic Parallel Gender Corpus 2.0: Extensions and AnalysesBashar Alhafni, Nizar Habash, Houda Bouamor2022 · 21 citations
- New Trends for Modern Machine Translation with Large Reasoning ModelsSinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
- Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic LanguageXi Chen, Shuo Wang2025 · 6 citations
- The User-Aware Arabic Gender RewriterBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations
- ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkSara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
- Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesChiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
- Roadblocks in Gender Bias Measurement for Diachronic CorporaSaied Alshahrani, Esma Wali, Abdullah R Alshamsan, et al.2022 · 2 citations
- Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation TaskDawson Petersen, Abhishek Purushothama, Nathan Schneider2026 · 1 citation
- Synthetic Function Demonstrations Improve Generation in Low-Resource Programming LanguagesNick McKenna, Xinnuo Xu, Jack Williams, et al.2026 · 1 citation
- Uncertainty Quantification for Evaluating Gender Bias in Machine TranslationIeva Staliunaite, Julius Cheng, Andreas Vlachos2026 · 1 citation
- A framework for analyzing concept representations in neural modelsBurin Naowarat, Hao Tang, Sharon Goldwater2026
- Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyPaolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
- CANVAS: A Multimodal Dataset of Chinese Textbook Images for Bias and Representation AnalysisHaotian Zhu, Kefan Yu, Min Li2026
- Detecting Latin in Historical Books with Large Language Models: A Multimodal BenchmarkYu Wu, Ke Shu, Jonas Fischer, et al.2026
- Extending Creativity: Large Language Models and the Practice of Poetry TranslationNatalia Resende, James Hadley2026
- How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentMarion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
- Investigating How LLMs Propagate Female Stereotypes: Comparing What Models Say via Prompts with What They Represent in Their EmbeddingsAndrea Valderrey Nuñez, Jelke Bloem2026
- mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense ReasoningNghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen2026
- Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesPaula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
- NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language InferenceMatheus Westhelle, Viviane Moreira2026
- Rating-based property axes: Agentivity and split intransitivityEva Neu, Brian Dillon, Katrin Erk2026
- Rethinking Role-Playing Evaluation: Anonymous Benchmarking and A Systematic Study of Personality EffectsJi-Lun Peng, Yun-Nung Chen2026
- SciCiteVal: A Multi-Domain Dataset for Scientific Citation VerificationQinyue Liu, Yongxin Zhou, Cyril Labbe2026
- Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated NeuronsIsmael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago2026
- Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026
This page in Markdown → https://md.research.elamur.ai/free/en/authors/adam-tauman-kalai/cited-by/page/2/