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Who cites Eliza Rutherford

5,346 citations of their works from 4,805 papers of our library (of the 140,884 whose bibliographies we read) · 351 with a page here, the most cited first · page 3 of 4 · 201–300 · ← Eliza Rutherford

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  1. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsZihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 161 citations
  2. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
  3. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
  4. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
  5. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  6. VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksJing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 156 citations
  7. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
  8. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
  9. Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 154 citations
  10. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
  11. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  12. Locally Typical SamplingClara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 152 citations
  13. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  14. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
  15. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesJunho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 citations
  16. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  17. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  18. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
  19. Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
  20. Generative Verifiers: Reward Modeling as Next-Token PredictionLunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 143 citations
  21. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepLiunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 139 citations
  22. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  23. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksAnna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 137 citations
  24. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  25. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionJingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 135 citations
  26. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingZhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 135 citations
  27. Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
  28. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  29. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
  30. Long-context LLMs Struggle with Long In-context LearningTianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 132 citations
  31. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  32. GPT-4V(ision) is a Generalist Web Agent, if GroundedBoyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 130 citations
  33. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksYushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 130 citations
  34. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
  35. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  36. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 126 citations
  37. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsLei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
  38. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  39. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryPrateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 122 citations
  40. AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
  41. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsChameleon Team2024 · 117 citations
  42. Qwen3-Omni Technical ReportJin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 114 citations
  43. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  44. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsYangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 114 citations
  45. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
  46. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
  47. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  48. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingYichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 112 citations
  49. Orca-Math: Unlocking the potential of SLMs in Grade School MathArindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 109 citations
  50. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationAojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 109 citations
  51. Data Engineering for Scaling Language Models to 128K ContextYao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  52. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 106 citations
  53. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsChris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
  54. Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
  55. UI-TARS: Pioneering Automated GUI Interaction with Native AgentsYujia Qin, Yining Ye, Junjie Fang, et al.2025 · 101 citations
  56. Qwen2.5-1M Technical ReportAn Yang, Bowen Yu, Chengyuan Li, et al.2025 · 100 citations
  57. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  58. Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingXiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.2025 · 97 citations
  59. MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
  60. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
  61. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelXiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 92 citations
  62. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  63. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  64. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  65. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 79 citations
  66. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsAaditya K. Singh, DJ Strouse2024 · 53 citations
  67. Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in ChinchillaTom Lieberum, Matthew Rahtz, Janos Kramar, et al.2023 · 51 citations
  68. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  69. Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form TextsEleftheria Briakou, Jiaming Luo, Colin Cherry, et al.2024 · 46 citations
  70. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
  71. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  72. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
  73. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
  74. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  75. MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query ResponseZihao Deng, Yinghao Ma, Yudong Liu, et al.2024 · 27 citations
  76. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingHritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
  77. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsZaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  78. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  79. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
  80. MedArabiQ: Benchmarking Large Language Models on Arabic Medical TasksMouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.2025 · 22 citations
  81. CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsZixin Chen, Hongzhan Lin, Ziyang Luo, et al.2024 · 20 citations
  82. Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMsFiroj Alam, Md. Rafiul Biswas, Uzair Shah, et al.2024 · 18 citations
  83. A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference ResolutionBowen Ding, Qingkai Min, Shengkun Ma, et al.2024 · 17 citations
  84. METAL: A Multi-Agent Framework for Chart Generation with Test-Time ScalingBingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.2025 · 15 citations
  85. Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction CapabilitiesShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2024 · 15 citations
  86. Jais 2: A Family of Arabic-Centric Open Large Language ModelsMohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  87. Comparative Study of Multilingual Idioms and Similes in Large Language ModelsParia Khoshtab, Danial Namazifard, Mostafa Masoudi, et al.2025 · 14 citations
  88. TigerCoder: A Novel Suite of LLMs for Code Generation in BanglaNishat Raihan, Antonios Anastasopoulos, Marcos Zampieri2026 · 13 citations
  89. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningNishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  90. Chinchilla Scaling: A replication attemptTamay Besiroglu, Ege Erdil, Matthew Barnett, et al.2024 · 12 citations
  91. AIN: The Arabic INclusive Large Multimodal ModelAhmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.2025 · 11 citations
  92. DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine TranslationFederico Martelli, Stefano Perrella, Niccolò Campolungo, et al.2025 · 11 citations
  93. Pragmatic Competence Evaluation of Large Language Models for the Korean LanguageDojun Park, Jiwoo Lee, Hyeyun Jeong, et al.2024 · 11 citations
  94. MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMsAbdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed2026 · 9 citations
  95. Multilingual Sequence-to-Sequence Models for Hebrew NLPMatan Eyal, Hila Noga, Roee Aharoni, et al.2023 · 9 citations
  96. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingAbbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  97. Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious QuestionsFarah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.2025 · 8 citations
  98. FAME: Fictional Actors for Multilingual ErasureClaudio Savelli, Moreno La Quatra, Alkis Koudounas, et al.2026 · 7 citations
  99. Cutting Through the Noise: Boosting LLM Performance on Math Word ProblemsUjjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al.2024 · 7 citations
  100. Towards more Human-like Language Models based on Contextualizer Pretraining StrategyChenghao Xiao, G Thomas Hudson, Noura Al Moubayed2023 · 7 citations

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