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Who cites Diogo Almeida

16,073 citations of their works from 13,639 papers of our library (of the 140,884 whose bibliographies we read) · 799 with a page here, the most cited first · page 4 of 8 · 301–400 · ← Diogo Almeida

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  1. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  2. AlpaGasus: Training A Better Alpaca with Fewer DataLichang Chen, Shiyang Li, Jun Yan, et al.2023 · 214 citations
  3. WildChat: 1M ChatGPT Interaction Logs in the WildWenting Zhao, Xiang Ren, Jack Hessel, et al.2024 · 213 citations
  4. Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language ModelsMosh Levy, Alon Jacoby, Yoav Goldberg2024 · 212 citations
  5. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 212 citations
  6. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
  7. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  8. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
  9. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
  10. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 210 citations
  11. LLM2Vec: Large Language Models Are Secretly Powerful Text EncodersParishad BehnamGhader, Vaibhav Adlakha, Marius Mosbach, et al.2024 · 209 citations
  12. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  13. Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical ReasoningPan Lu, Liang Qiu, Kai-Wei Chang, et al.2022 · 209 citations
  14. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
  15. Sources of Hallucination by Large Language Models on Inference TasksNick McKenna, Tianyi Li, Liang Cheng, et al.2023 · 208 citations
  16. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationHaoran Xu, Amr Sharaf, Yunmo Chen, et al.2024 · 207 citations
  17. Exploring Human-Like Translation Strategy with Large Language ModelsZhiwei He, Tian Liang, Wenxiang Jiao, et al.2024 · 207 citations
  18. Ring Attention with Blockwise Transformers for Near-Infinite ContextHao Liu, Matei Zaharia, Pieter Abbeel2023 · 207 citations
  19. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  20. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung Chen2023 · 206 citations
  21. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
  22. LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyBo Liu, Yuqian Jiang, Xiaohan Zhang, et al.2023 · 204 citations
  23. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsYi Zeng, Hongpeng Lin, Jingwen Zhang, et al.2024 · 202 citations
  24. SALMONN: Towards Generic Hearing Abilities for Large Language ModelsChangli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 202 citations
  25. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  26. DeepSeek-VL: Towards Real-World Vision-Language UnderstandingHaoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 201 citations
  27. SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationHyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
  28. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.2023 · 200 citations
  29. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  30. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations
  31. Measuring Multimodal Mathematical Reasoning with MATH-Vision DatasetKe Wang, Junting Pan, Weikang Shi, et al.2024 · 198 citations
  32. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  33. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 198 citations
  34. Model Tells You What to Discard: Adaptive KV Cache Compression for LLMsSuyu Ge, Yunan Zhang, Liyuan Liu, et al.2023 · 198 citations
  35. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchDan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 197 citations
  36. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
  37. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?Yang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 196 citations
  38. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
  39. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligenceDeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 195 citations
  40. What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
  41. Towards Faithful Model Explanation in NLP: A SurveyQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 194 citations
  42. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionXiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
  43. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackViet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 194 citations
  44. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsZheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
  45. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicKeqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 194 citations
  46. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningJun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 192 citations
  47. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
  48. RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalParth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 191 citations
  49. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4Tom Kocmi, Christian Federmann2023 · 191 citations
  50. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 191 citations
  51. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsXingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 190 citations
  52. Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  53. GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerUrchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.2024 · 189 citations
  54. PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationYidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 189 citations
  55. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 188 citations
  56. Refusal in Language Models Is Mediated by a Single DirectionAndy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 188 citations
  57. Adaptive Machine Translation with Large Language ModelsYasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.2023 · 186 citations
  58. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 186 citations
  59. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
  60. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  61. Multilingual Jailbreak Challenges in Large Language ModelsYue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al.2023 · 183 citations
  62. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
  63. Preference Ranking Optimization for Human AlignmentFeifan Song, Bowen Yu, Minghao Li, et al.2023 · 183 citations
  64. Large Language Models are few(1)-shot Table ReasonersWenhu Chen2023 · 182 citations
  65. Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language ModelsYunfei Chu, Jin Xu, Xiaohuan Zhou, et al.2023 · 182 citations
  66. Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierJohn Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 180 citations
  67. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 180 citations
  68. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningFuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 180 citations
  69. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  70. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationShivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 179 citations
  71. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  72. Eliciting Latent Predictions from Transformers with the Tuned LensNora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 179 citations
  73. Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved YetTom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.2024 · 177 citations
  74. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 177 citations
  75. Effective Long-Context Scaling of Foundation ModelsWenhan Xiong, Jingyu Liu, Igor Molybog, et al.2023 · 177 citations
  76. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  77. On the Risk of Misinformation Pollution with Large Language ModelsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 177 citations
  78. ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 177 citations
  79. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
  80. What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction TuningWei Liu, Weihao Zeng, Keqing He, et al.2023 · 174 citations
  81. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
  82. ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated CasesQiaoyu Tang, Ziliang Deng, Hongyu Lin, et al.2023 · 172 citations
  83. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
  84. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
  85. OpenChat: Advancing Open-source Language Models with Mixed-Quality DataGuan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 171 citations
  86. Do Llamas Work in English? On the Latent Language of Multilingual TransformersChris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.2024 · 170 citations
  87. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsSimone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.2024 · 170 citations
  88. LESS: Selecting Influential Data for Targeted Instruction TuningMengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 170 citations
  89. HuaTuo: Tuning LLaMA Model with Chinese Medical KnowledgeHaochun Wang, Chi Liu, Nuwa Xi, et al.2023 · 170 citations
  90. Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
  91. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  92. WebVoyager: Building an End-to-End Web Agent with Large Multimodal ModelsHongliang He, Wenlin Yao, Kaixin Ma, et al.2024 · 168 citations
  93. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  94. Low-Resource Languages Jailbreak GPT-4Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach2023 · 168 citations
  95. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationRajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 166 citations
  96. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  97. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsJian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 165 citations
  98. Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang Liu2023 · 165 citations
  99. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
  100. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations

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