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Who cites Alan Schelten

14,809 citations of their works from 13,386 papers of our library (of the 149,439 whose bibliographies we read) · 2,850 with a page here, the most cited first · page 8 of 29 · 701–800 · ← Alan Schelten

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  1. 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
  2. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
  3. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
  4. XAttention: Block Sparse Attention with Antidiagonal ScoringarXiv:2503.16428Ruyi Xu, Guangxuan Xiao, Haofeng Huang, et al.2025 · 59 citations
  5. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
  6. 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
  7. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaijie She, Wei Zou, Shujian Huang, et al.2024 · 59 citations
  8. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  9. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
  10. EQ-Bench: An Emotional Intelligence Benchmark for Large Language ModelsarXiv:2312.06281Samuel J. Paech2023 · 59 citations
  11. Investigating the Catastrophic Forgetting in Multimodal Large Language ModelsarXiv:2309.10313Yuexiang Zhai, Shengbang Tong, Xiao Li, et al.2023 · 59 citations
  12. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  13. SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yige Xu, Xu Guo, Zhiwei Zeng, et al.2025 · 58 citations
  14. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
  15. Free Process Rewards without Process LabelsarXiv:2412.01981Lifan Yuan, Wendi Li, Huayu Chen, et al.2024 · 58 citations
  16. MaLA-500: Massive Language Adaptation of Large Language ModelsarXiv:2401.13303Peiqin Lin, Shaoxiong Ji, Jorg Tiedemann, et al.2024 · 58 citations
  17. MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zimu Lu, Aojun Zhou, Houxing Ren, et al.2024 · 58 citations
  18. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationarXiv:2308.02773Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.2023 · 58 citations
  19. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
  20. Absolute Zero: Reinforced Self-play Reasoning with Zero DataConference on Neural Information Processing Systems (NeurIPS)Andrew Zhao, Yiran Wu, Yang Yue, et al.2025 · 57 citations
  21. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
  22. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 57 citations
  23. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Dawei Li, Sizhe Wang, et al.2024 · 57 citations
  24. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.2024 · 57 citations
  25. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceAnnual Meeting of the Association for Computational Linguistics (ACL)Shaolei Zhang, Tian Yu, Yang Feng2024 · 57 citations
  26. Understanding and Mitigating Language Confusion in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, et al.2024 · 57 citations
  27. Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
  28. Massively Multi-Cultural Knowledge Acquisition & LM BenchmarkingarXiv:2402.09369Yi Fung, Ruining Zhao, Jae Doo, et al.2024 · 56 citations
  29. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
  30. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  31. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
  32. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse PromptsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.2024 · 55 citations
  33. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop QueriesConference on Empirical Methods in Natural Language Processing (EMNLP)Eden Biran, Daniela Gottesman, Sohee Yang, et al.2024 · 55 citations
  34. Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
  35. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Wang, Ruiyang Ren, Junyi Li, et al.2024 · 55 citations
  36. SciAgent: Tool-augmented Language Models for Scientific ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yubo Ma, Zhibin Gou, Junheng Hao, et al.2024 · 55 citations
  37. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsarXiv:2402.14903Aaditya K. Singh, DJ Strouse2024 · 55 citations
  38. Zoology: Measuring and Improving Recall in Efficient Language ModelsarXiv:2312.04927Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re2023 · 55 citations
  39. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  40. Scaling Laws of RoPE-based ExtrapolationarXiv:2310.05209Xiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 54 citations
  41. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM GuardrailsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, et al.2025 · 53 citations
  42. Spurious Rewards: Rethinking Training Signals in RLVRarXiv:2506.10947Rulin Shao, Shuyue Stella Li, Rui Xin, et al.2025 · 53 citations
  43. Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
  44. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
  45. IndoCulture: Exploring Geographically Influenced Cultural Commonsense Reasoning Across Eleven Indonesian ProvincesTransactions of the Association for Computational Linguistics (TACL)Fajri Koto, Rahmad Mahendra, Nurul Aisyah, et al.2024 · 53 citations
  46. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
  47. Trial and Error: Exploration-Based Trajectory Optimization of LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Song, Da Yin, Xiang Yue, et al.2024 · 53 citations
  48. Evaluating the Capabilities of Large Language Models for Multi-label Emotion UnderstandingInternational Conference on Computational Linguistics (COLING)Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.2025 · 52 citations
  49. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
  50. Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?Annual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger2024 · 52 citations
  51. JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYiyang Ma, Xingchao Liu, Xiaokang Chen, et al.2024 · 52 citations
  52. LLM Internal States Reveal Hallucination Risk Faced With a QueryarXiv:2407.03282Ziwei Ji, Delong Chen, Etsuko Ishii, et al.2024 · 52 citations
  53. Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem ProvingConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Quan, Marco Valentino, Louise A. Dennis, et al.2024 · 52 citations
  54. PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise TrainingarXiv:2309.10400Dawei Zhu, Nan Yang, Liang Wang, et al.2023 · 52 citations
  55. Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsarXiv:2410.21272Yaniv Nikankin, Anja Reusch, Aaron Mueller, et al.2024 · 51 citations
  56. FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Andrew Zhu, Alyssa Hwang, Liam Dugan, et al.2024 · 51 citations
  57. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
  58. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement LearningarXiv:2410.02089Jonas Gehring, Kunhao Zheng, Jade Copet, et al.2024 · 51 citations
  59. LightThinker: Thinking Step-by-Step CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jintian Zhang, Yuqi Zhu, Mengshu Sun, et al.2025 · 50 citations
  60. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
  61. ZeroSearch: Incentivize the Search Capability of LLMs without SearchingarXiv:2505.04588Hao Sun, Zile Qiao, Jiayan Guo, et al.2025 · 50 citations
  62. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
  63. Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackConference on Neural Information Processing Systems (NeurIPS)Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.2024 · 50 citations
  64. WebLINX: Real-World Website Navigation with Multi-Turn DialoguearXiv:2402.05930Xing Han Lu, Zden\vek Kasner, Siva Reddy2024 · 50 citations
  65. SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific GraphsarXiv:2308.03349Shengzhi Li, Nima Tajbakhsh2023 · 50 citations
  66. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
  67. HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.2025 · 49 citations
  68. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
  69. The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce HarmConference on Empirical Methods in Natural Language Processing (EMNLP)Aakanksha, Arash Ahmadian, Beyza Ermis, et al.2024 · 49 citations
  70. Word Embeddings Are Steers for Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chi Han, Jialiang Xu, Manling Li, et al.2024 · 49 citations
  71. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  72. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
  73. Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Alex Wilf, Sihyun Lee, Paul Pu Liang, et al.2024 · 48 citations
  74. Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Taiqiang Wu, Chaofan Tao, Jiahao Wang, et al.2025 · 47 citations
  75. Unfamiliar Finetuning Examples Control How Language Models HallucinateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Katie Kang, Eric Wallace, Claire Tomlin, et al.2025 · 47 citations
  76. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
  77. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  78. Long Context Compression with Activation BeaconarXiv:2401.03462Peitian Zhang, Zheng Liu, Shitao Xiao, et al.2024 · 47 citations
  79. Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive DecodingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi2024 · 47 citations
  80. ARGS: Alignment as Reward-Guided SearcharXiv:2402.01694Maxim Khanov, Jirayu Burapacheep, Yixuan Li2024 · 46 citations
  81. Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMsTransactions of the Association for Computational Linguistics (TACL)Tanise Ceron, Neele Falk, Ana Barić, et al.2024 · 46 citations
  82. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  83. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationarXiv:2403.05313Zihao Wang, Anji Liu, Haowei Lin, et al.2024 · 46 citations
  84. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  85. SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.2024 · 46 citations
  86. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  87. Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decodingarXiv:2309.15028Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al.2023 · 46 citations
  88. Disentangling Memory and Reasoning Ability in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Jin, Weidi Luo, Sitao Cheng, et al.2025 · 45 citations
  89. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  90. Cross-Lingual Knowledge Editing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaan Wang, Yunlong Liang, Zengkui Sun, et al.2024 · 45 citations
  91. GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local RefinementsarXiv:2402.10963Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.2024 · 45 citations
  92. Understanding Catastrophic Forgetting in Language Models via Implicit InferencearXiv:2309.10105Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan2023 · 45 citations
  93. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  94. Augmenting Math Word Problems via Iterative Question ComposingProceedings of the AAAI Conference on Artificial IntelligenceHaoxiong Liu, Yifan Zhang, Yifan Luo, et al.2024 · 44 citations
  95. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  96. LLM Pruning and Distillation in Practice: The Minitron ApproacharXiv:2408.11796Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.2024 · 44 citations
  97. Long-Context Language Modeling with Parallel Context EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Howard Yen, Tianyu Gao, Danqi Chen2024 · 44 citations
  98. MMToM-QA: Multimodal Theory of Mind Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Chuanyang Jin, Yutong Wu, Jing Cao, et al.2024 · 44 citations
  99. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  100. Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningConference on Neural Information Processing Systems (NeurIPS)Xiaoming Shi, Siqiao Xue, Kangrui Wang, et al.2023 · 44 citations

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