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Who cites Daniel Selsam

11,840 citations of their works from 11,531 papers of our library (of the 149,439 whose bibliographies we read) · 2,589 with a page here, the most cited first · page 9 of 26 · 801–900 · ← Daniel Selsam

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  1. IrokoBench: A New Benchmark for African Languages in the Age of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, et al.2025 · 70 citations
  2. ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use CapabilitiesFindings of the Association for Computational LinguisticsJiarui Lu, Thomas Holleis, Yizhe Zhang, et al.2025 · 70 citations
  3. VLM-R1: A Stable and Generalizable R1-style Large Vision-Language ModelarXiv:2504.07615Haozhan Shen, Peng Liu, Jingcheng Li, et al.2025 · 70 citations
  4. Aligning Large and Small Language Models via Chain-of-Thought ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Leonardo Ranaldi, Andre Freitas2024 · 70 citations
  5. CulturePark: Boosting Cross-cultural Understanding in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Damien Teney, Linyi Yang, et al.2024 · 70 citations
  6. MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics BenchmarkFindings of the Association for Computational LinguisticsHongwei Liu, Zilong Zheng, Yuxuan Qiao, et al.2024 · 70 citations
  7. Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language ModelsLanguage Resources and Evaluation Conference (LREC)Zhuoran Jin, Pengfei Cao, Yubo Chen, et al.2024 · 70 citations
  8. Lion: Adversarial Distillation of Proprietary Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxin Jiang, Chunkit Chan, Mingyang Chen, et al.2023 · 70 citations
  9. Group-in-Group Policy Optimization for LLM Agent TrainingConference on Neural Information Processing Systems (NeurIPS)Lang Feng, Zhenghai Xue, Tingcong Liu, et al.2025 · 69 citations
  10. Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
  11. Aligner: Efficient Alignment by Learning to CorrectConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Boyuan Chen, Hantao Lou, et al.2024 · 69 citations
  12. 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
  13. Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?arXiv:2309.07462Rishav Hada, Varun Gumma, Adrian de Wynter, et al.2023 · 69 citations
  14. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model GenerationarXiv:2311.18702Pei Ke, Bosi Wen, Zhuoer Feng, et al.2023 · 69 citations
  15. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  16. AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMsInternational Conference on Computational Linguistics (COLING)Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.2025 · 68 citations
  17. Competitive Programming with Large Reasoning ModelsarXiv:2502.06807OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva, et al.2025 · 68 citations
  18. Learning to Reason under Off-Policy GuidanceConference on Neural Information Processing Systems (NeurIPS)Jianhao Yan, Yafu Li, Zican Hu, et al.2025 · 68 citations
  19. VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning TasksarXiv:2504.05118Yu Yue, Yufeng Yuan, Qiying Yu, et al.2025 · 68 citations
  20. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
  21. A Thorough Examination of Decoding Methods in the Era of LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Chufan Shi, Haoran Yang, Deng Cai, et al.2024 · 68 citations
  22. Agent Q: Advanced Reasoning and Learning for Autonomous AI AgentsarXiv:2408.07199Pranav Putta, Edmund Mills, Naman Garg, et al.2024 · 68 citations
  23. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Wang, Yong Lin, Wei Xiong, et al.2024 · 68 citations
  24. MagicPIG: LSH Sampling for Efficient LLM GenerationarXiv:2410.16179Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.2024 · 68 citations
  25. Modular Pluralism: Pluralistic Alignment via Multi-LLM CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Shangbin Feng, Taylor Sorensen, Yuhan Liu, et al.2024 · 68 citations
  26. VIEScore: Towards Explainable Metrics for Conditional Image Synthesis EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Max Ku, Dongfu Jiang, Cong Wei, et al.2024 · 68 citations
  27. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  28. Contrastive Decoding Improves Reasoning in Large Language ModelsarXiv:2309.09117Sean O'Brien, Mike Lewis2023 · 68 citations
  29. Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-CorrectionarXiv:2508.03613Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 67 citations
  30. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
  31. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 67 citations
  32. An Empirical Study of Mamba-based Language ModelsarXiv:2406.07887Roger Waleffe, Wonmin Byeon, Duncan Riach, et al.2024 · 67 citations
  33. Are Large Language Models Capable of Generating Human-Level Narratives?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yufei Tian, Tenghao Huang, Miri Liu, et al.2024 · 67 citations
  34. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Ling Yang, Zhaochen Yu, Tianjun Zhang, et al.2024 · 67 citations
  35. MMAU: A Massive Multi-Task Audio Understanding and Reasoning BenchmarkarXiv:2410.19168S Sakshi, Utkarsh Tyagi, Sonal Kumar, et al.2024 · 67 citations
  36. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
  37. On the Effects of Data Scale on UI Control AgentsConference on Neural Information Processing Systems (NeurIPS)Wei Li, William Bishop, Alice Li, et al.2024 · 67 citations
  38. AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination EvaluationarXiv:2311.07397Junyang Wang, Yuhang Wang, Guohai Xu, et al.2023 · 67 citations
  39. ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic TextArabic Natural Language Processing Conference (ArabicNLP)Maram Hasanain, Firoj Alam, Hamdy Mubarak, et al.2023 · 67 citations
  40. CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?arXiv:2306.16636Tianwen Wei, Jian Luan, Wei Liu, et al.2023 · 67 citations
  41. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
  42. C3oT: Generating Shorter Chain-of-Thought without Compromising EffectivenessProceedings of the AAAI Conference on Artificial IntelligenceYu Kang, Xianghui Sun, Liangyu Chen, et al.2024 · 66 citations
  43. LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMsarXiv:2408.07055Yushi Bai, Jiajie Zhang, Xin Lv, et al.2024 · 66 citations
  44. ARB: Advanced Reasoning Benchmark for Large Language ModelsarXiv:2307.13692Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, et al.2023 · 66 citations
  45. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
  46. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and UnderstandingarXiv:2501.18362Yuxin Zuo, Shang Qu, Yifei Li, et al.2025 · 65 citations
  47. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceConference on Neural Information Processing Systems (NeurIPS)Kevin Wu, Eric Wu, James Zou2024 · 65 citations
  48. CycleResearcher: Improving Automated Research via Automated ReviewarXiv:2411.00816Yixuan Weng, Minjun Zhu, Guangsheng Bao, et al.2024 · 65 citations
  49. On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific NeuronsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.2024 · 65 citations
  50. Small LLMs Are Weak Tool Learners: A Multi-LLM AgentConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhou Shen, Chenliang Li, Hongzhan Chen, et al.2024 · 65 citations
  51. We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?arXiv:2407.01284Runqi Qiao, Qiuna Tan, Guanting Dong, et al.2024 · 65 citations
  52. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksarXiv:2305.14201Tiedong Liu, Bryan Kian Hsiang Low2023 · 65 citations
  53. CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
  54. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-JudgeConference on Empirical Methods in Natural Language Processing (EMNLP)Tianhao Wu, Weizhe Yuan, Olga Golovneva, et al.2025 · 64 citations
  55. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  56. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software EvolutionConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Olivier Duchenne, Jade Copet, et al.2025 · 64 citations
  57. A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, et al.2024 · 64 citations
  58. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 64 citations
  59. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  60. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  61. CValues: Measuring the Values of Chinese Large Language Models from Safety to ResponsibilityarXiv:2307.09705Guohai Xu, Jiayi Liu, Ming Yan, et al.2023 · 64 citations
  62. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
  63. User Behavior Simulation with Large Language Model based AgentsarXiv:2306.02552Lei Wang, Jingsen Zhang, Hao Yang, et al.2023 · 64 citations
  64. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
  65. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
  66. Revolutionizing Finance with LLMs: An Overview of Applications and InsightsarXiv:2401.11641Huaqin Zhao, Zhengliang Liu, Zihao Wu, et al.2024 · 63 citations
  67. VinePPO: Refining Credit Assignment in RL Training of LLMsarXiv:2410.01679Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.2024 · 63 citations
  68. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
  69. Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement LearningarXiv:2504.13914ByteDance Seed, Jiaze Chen, Tiantian Fan, et al.2025 · 62 citations
  70. ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language ModelsarXiv:2402.11684Guiming Hardy Chen, Shunian Chen, Ruifei Zhang, et al.2024 · 62 citations
  71. LAB-Bench: Measuring Capabilities of Language Models for Biology ResearcharXiv:2407.10362Jon M. Laurent, Joseph D. Janizek, Michael Ruzo, et al.2024 · 62 citations
  72. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
  73. ToMBench: Benchmarking Theory of Mind in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, et al.2024 · 62 citations
  74. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  75. Rephrase and Respond: Let Large Language Models Ask Better Questions for ThemselvesarXiv:2311.04205Yihe Deng, Weitong Zhang, Zixiang Chen, et al.2023 · 62 citations
  76. The Generative AI Paradox: "What It Can Create, It May Not Understand"arXiv:2311.00059Peter West, Ximing Lu, Nouha Dziri, et al.2023 · 62 citations
  77. SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online PolarizationInternational Workshop on Semantic Evaluation (SemEval)Usman Naseem, Robert Geislinger, Ada Ren, et al.2026 · 61 citations
  78. Deep Think with ConfidencearXiv:2508.15260Yichao Fu, Xuewei Wang, Yuandong Tian, et al.2025 · 61 citations
  79. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, et al.2025 · 61 citations
  80. Small Models Struggle to Learn from Strong ReasonersFindings of the Association for Computational LinguisticsYuetai Li, Xiang Yue, Zhangchen Xu, et al.2025 · 61 citations
  81. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
  82. Teaching Large Language Models to Reason with Reinforcement LearningarXiv:2403.04642Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.2024 · 61 citations
  83. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
  84. ZebraLogic: On the Scaling Limits of LLMs for Logical ReasoningarXiv:2502.01100Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, et al.2025 · 60 citations
  85. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
  86. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
  87. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsarXiv:2402.02207Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, et al.2024 · 60 citations
  88. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  89. CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language ModelsarXiv:2311.16832Jinfeng Zhou, Zhuang Chen, Dazhen Wan, et al.2023 · 60 citations
  90. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citations
  91. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesArabic Natural Language Processing Conference (ArabicNLP)Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  92. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
  93. XAttention: Block Sparse Attention with Antidiagonal ScoringarXiv:2503.16428Ruyi Xu, Guangxuan Xiao, Haofeng Huang, et al.2025 · 59 citations
  94. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  95. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
  96. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  97. EQ-Bench: An Emotional Intelligence Benchmark for Large Language ModelsarXiv:2312.06281Samuel J. Paech2023 · 59 citations
  98. Investigating the Catastrophic Forgetting in Multimodal Large Language ModelsarXiv:2309.10313Yuexiang Zhai, Shengbang Tong, Xiao Li, et al.2023 · 59 citations
  99. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  100. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Mingjie Liu, Shizhe Diao, Ximing Lu, et al.2025 · 58 citations

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