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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 12 of 26 · 1101–1200 · ← Daniel Selsam

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  1. AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhexuan Wang, Yutong Wang, Xuebo Liu, et al.2025 · 29 citations
  2. INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based AgentAnnual Meeting of the Association for Computational Linguistics (ACL)Haohang Li, Yupeng Cao, Yangyang Yu, et al.2025 · 29 citations
  3. PaSa: An LLM Agent for Comprehensive Academic Paper SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen He, Guanhua Huang, Peiyuan Feng, et al.2025 · 29 citations
  4. SEA-LION: Southeast Asian Languages in One NetworkInternational Joint Conference on Natural Language Processing (IJCNLP)Raymond Ng, Thanh Ngan Nguyen, Huang Yuli, et al.2025 · 29 citations
  5. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
  6. DOSA: A Dataset of Social Artifacts from Different Indian Geographical SubculturesLanguage Resources and Evaluation Conference (LREC)Agrima Seth, Sanchit Ahuja, Kalika Bali, et al.2024 · 29 citations
  7. Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language ModelsarXiv:2402.14714Seungduk Kim, Seungtaek Choi, Myeongho Jeong2024 · 29 citations
  8. LangBridge: Multilingual Reasoning Without Multilingual SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.2024 · 29 citations
  9. NovelQA: Benchmarking Question Answering on Documents Exceeding 200K TokensarXiv:2403.12766Cunxiang Wang, Ruoxi Ning, Boqi Pan, et al.2024 · 29 citations
  10. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
  11. Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationarXiv:2311.08152Zhenran Xu, Senbao Shi, Baotian Hu, et al.2023 · 29 citations
  12. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
  13. Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public OpinionsAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Erfan Jahanparast, Suhong Moon, et al.2025 · 28 citations
  14. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
  15. ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Faris Hijazi, Somayah AlHarbi, Abdulaziz AlHussein, et al.2024 · 28 citations
  16. ArMeme: Propagandistic Content in Arabic MemesConference on Empirical Methods in Natural Language Processing (EMNLP)Firoj Alam, Abul Hasnat, Fatema Ahmad, et al.2024 · 28 citations
  17. Automatic Instruction Evolving for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Zeng, Can Xu, Yingxiu Zhao, et al.2024 · 28 citations
  18. AutoPSV: Automated Process-Supervised VerifierConference on Neural Information Processing Systems (NeurIPS)Jianqiao Lu, Zhiyang Dou, Hongru Wang, et al.2024 · 28 citations
  19. BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting EvidenceFindings of the Association for Computational LinguisticsJiajie Jin, Yutao Zhu, Yujia Zhou, et al.2024 · 28 citations
  20. Can Language Models Solve Olympiad Programming?arXiv:2404.10952Quan Shi, Michael Tang, Karthik Narasimhan, et al.2024 · 28 citations
  21. Peacock: A Family of Arabic Multimodal Large Language Models and BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, et al.2024 · 28 citations
  22. When is Tree Search Useful for LLM Planning? It Depends on the DiscriminatorAnnual Meeting of the Association for Computational Linguistics (ACL)Ziru Chen, Michael White, Ray Mooney, et al.2024 · 28 citations
  23. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  24. AndroidLab: Training and Systematic Benchmarking of Android Autonomous AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Xu, Xiao Liu, Xueqiao Sun, et al.2025 · 27 citations
  25. Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Omer Nahum, Nitay Calderon, Orgad Keller, et al.2025 · 27 citations
  26. CaLMQA: Exploring culturally specific long-form question answering across 23 languagesAnnual Meeting of the Association for Computational Linguistics (ACL)Shane Arora, Marzena Karpinska, Hung-Ting Chen, et al.2025 · 27 citations
  27. Can Large Language Models Unlock Novel Scientific Research Ideas?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, et al.2025 · 27 citations
  28. FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qinggang Zhang, Zhishang Xiang, Yilin Xiao, et al.2025 · 27 citations
  29. SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP)Zechen Li, Shohreh Deldari, Linyao Chen, et al.2025 · 27 citations
  30. Investigating Hallucinations in Pruned Large Language Models for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)George Chrysostomou, Zhixue Zhao, Miles Williams, et al.2024 · 27 citations
  31. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.2024 · 27 citations
  32. MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query ResponseFindings of the Association for Computational LinguisticsZihao Deng, Yinghao Ma, Yudong Liu, et al.2024 · 27 citations
  33. Reviewer2: Optimizing Review Generation Through Prompt GenerationarXiv:2402.10886Zhaolin Gao, Kiante Brantley, Thorsten Joachims2024 · 27 citations
  34. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 27 citations
  35. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
  36. Evaluating ChatGPT and Bard AI on Arabic Sentiment AnalysisArabic Natural Language Processing Conference (ArabicNLP)Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.2023 · 27 citations
  37. Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and ConcretenessarXiv:2309.11064Vipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al.2023 · 27 citations
  38. Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google BardarXiv:2307.02288Xuan-Quy Dao2023 · 27 citations
  39. AraTrust: An Evaluation of Trustworthiness for LLMs in ArabicInternational Conference on Computational Linguistics (COLING)Emad A. Alghamdi, Reem I. Masoud, Deema Alnuhait, et al.2025 · 26 citations
  40. Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haneul Yoo, Yongjin Yang, Hwaran Lee2025 · 26 citations
  41. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
  42. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
  43. TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyu Hou, Ziniu Hu, Yujiang Li, et al.2025 · 26 citations
  44. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations
  45. Are Large Language Models Robust Coreference Resolvers?arXiv:2305.14489Nghia T. Le, Alan Ritter2023 · 26 citations
  46. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Sun, Yingqian Min, Zhipeng Chen, et al.2026 · 25 citations
  47. Audio-Reasoner: Improving Reasoning Capability in Large Audio Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xie Zhifei, Mingbao Lin, Zihang Liu, et al.2025 · 25 citations
  48. Autoregressive Speech Synthesis without Vector QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Lingwei Meng, Long Zhou, Shujie Liu, et al.2025 · 25 citations
  49. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
  50. Removal of Hallucination on Hallucination: Debate-Augmented RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Hu, Wengyu Zhang, Yiyang Jiang, et al.2025 · 25 citations
  51. TC–RAG: Turing–Complete RAG's Case study on Medical LLM SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinke Jiang, Yue Fang, Rihong Qiu, et al.2025 · 25 citations
  52. Dallah: A Dialect-Aware Multimodal Large Language Model for ArabicArabic Natural Language Processing Conference (ArabicNLP)Fakhraddin Alwajih, Gagan Bhatia, Muhammad Abdul-Mageed2024 · 25 citations
  53. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
  54. Dynamic Planning with a LLMarXiv:2308.06391Gautier Dagan, Frank Keller, Alex Lascarides2023 · 25 citations
  55. Sentiment Analysis through LLM NegotiationsarXiv:2311.01876Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.2023 · 25 citations
  56. Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMsTransactions on Machine Learning ResearchAngelica Chen, Jason Phang, Alicia Parrish, et al.2023 · 25 citations
  57. Aligning LLMs with Individual Preferences via InteractionInternational Conference on Computational Linguistics (COLING)Shujin Wu, Yi R. Fung, Cheng Qian, et al.2025 · 24 citations
  58. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
  59. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
  60. LLMs May Perform MCQA by Selecting the Least Incorrect OptionInternational Conference on Computational Linguistics (COLING)Haochun Wang, Sendong Zhao, Zewen Qiang, et al.2025 · 24 citations
  61. OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.2025 · 24 citations
  62. Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?arXiv:2408.10811Chengzhi Zhong, Fei Cheng, Qianying Liu, et al.2024 · 24 citations
  63. Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language ModelsFindings of the Association for Computational LinguisticsYeeun Kim, Youngrok Choi, Eunkyung Choi, et al.2024 · 24 citations
  64. TeleChat Technical ReportarXiv:2401.03804Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.2024 · 24 citations
  65. PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Pengshan Cai, Zonghai Yao, Fei Liu, et al.2023 · 24 citations
  66. Pretraining on the Test Set Is All You NeedarXiv:2309.08632Rylan Schaeffer2023 · 24 citations
  67. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
  68. Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, et al.2025 · 23 citations
  69. IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Zeng, Jiaying Wu, Minnan Luo, et al.2025 · 23 citations
  70. VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Qiuchen Wang, Ruixue Ding, Yu Zeng, et al.2025 · 23 citations
  71. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language ModelarXiv:2404.04167Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; Wenhu Chen;, Ge Zhang2024 · 23 citations
  72. Competition of Mechanisms: Tracing How Language Models Handle Facts and CounterfactualsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2024 · 23 citations
  73. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.2024 · 23 citations
  74. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
  75. Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical ReasoningarXiv:2407.00782Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 23 citations
  76. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  77. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
  78. Online Difficulty Filtering for Reasoning Oriented Reinforcement LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Sanghwan Bae, Jiwoo Hong, Min Young Lee, et al.2026 · 22 citations
  79. R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning LearningTransactions of the Association for Computational Linguistics (TACL)Minggui He, Yilun Liu, Shimin Tao, et al.2026 · 22 citations
  80. Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Haoyang Liu, et al.2026 · 22 citations
  81. AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Charles Nimo, Tobi Olatunji, Abraham Toluwase Owodunni, et al.2025 · 22 citations
  82. Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, et al.2025 · 22 citations
  83. Following Length Constraints in InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhe Yuan, Ilia Kulikov, Ping Yu, et al.2025 · 22 citations
  84. HALoGEN: Fantastic LLM Hallucinations and Where to Find ThemAnnual Meeting of the Association for Computational Linguistics (ACL)Abhilasha Ravichander, Shrusti Ghela, David Wadden, et al.2025 · 22 citations
  85. How Likely Do LLMs with CoT Mimic Human Reasoning?International Conference on Computational Linguistics (COLING)Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.2025 · 22 citations
  86. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksarXiv:2505.03427Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
  87. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  88. ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Zhongxiang Sun, Qipeng Wang, Weijie Yu, et al.2025 · 22 citations
  89. Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi2025 · 22 citations
  90. TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence ConfigurationConference on Empirical Methods in Natural Language Processing (EMNLP)Yanshu Li, Jianjiang Yang, Tian Yun, et al.2025 · 22 citations
  91. Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token RecyclingAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Yixuan Wang, Qingfu Zhu, et al.2025 · 22 citations
  92. West-of-N: Synthetic Preferences for Self-Improving Reward ModelsarXiv:2401.12086Alizee Pace, Jonathan Mallinson, Eric Malmi, et al.2024 · 22 citations
  93. Language Model Self-improvement by Reinforcement Learning ContemplationarXiv:2305.14483Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu; Zongzhang Zhang;, Yang Yu2023 · 22 citations
  94. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensFindings of the Association for Computational LinguisticsChengshuai Zhao, Zhen Tan, Pingchuan Ma, et al.2026 · 21 citations
  95. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
  96. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  97. CodeTree: Agent-guided Tree Search for Code Generation with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jierui Li, Hung Le, Yingbo Zhou, et al.2025 · 21 citations
  98. Intention Analysis Makes LLMs A Good Jailbreak DefenderInternational Conference on Computational Linguistics (COLING)Yuqi Zhang, Liang Ding, Lefei Zhang, et al.2025 · 21 citations
  99. KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document UnderstandingFindings of the Association for Computational LinguisticsAhmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, et al.2025 · 21 citations
  100. MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.2025 · 21 citations

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