Who cites Chong Zhang
- TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
- Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
- SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
- The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsJunyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 150 citations
- AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
- Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationNiels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
- Language Model Tokenizers Introduce Unfairness Between LanguagesAleksandar Petrov, Emanuele La Malfa, Philip H. S. Torr, et al.2023 · 149 citations
- ProsocialDialog: A Prosocial Backbone for Conversational AgentsHyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 149 citations
- SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildWeihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
- Process Reinforcement through Implicit RewardsGanqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingXinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
- Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureGuangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 146 citations
- How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
- Fact-Checking Complex Claims with Program-Guided ReasoningLiangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 145 citations
- RA-DIT: Retrieval-Augmented Dual Instruction TuningXi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 145 citations
- Unified Demonstration Retriever for In-Context LearningXiaonan Li, Kai Lv, Hang Yan, et al.2023 · 144 citations
- Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkRuochen Zhao, Xingxuan Li, Shafiq Joty, et al.2023 · 144 citations
- Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
- MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
- Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningShenzhi Wang, Le Yu, Chang Gao, et al.2025 · 142 citations
- Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 142 citations
- Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgeJiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 142 citations
- PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
- JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
- A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationNeeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 139 citations
- Diverse Demonstrations Improve In-context Compositional GeneralizationItay Levy, Ben Bogin, Jonathan Berant2023 · 139 citations
- The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningBill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 139 citations
- DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningHuatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
- Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
- Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
- A fine-grained comparison of pragmatic language understanding in humans and language modelsJennifer Hu, Sammy Floyd, Olessia Jouravlev, et al.2023 · 136 citations
- Detecting Language Model Attacks with PerplexityGabriel Alon, Michael Kamfonas2023 · 136 citations
- MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackXingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 136 citations
- A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
- Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
- Token-Budget-Aware LLM ReasoningTingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 135 citations
- SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
- Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsPaul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 134 citations
- Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
- Prompting is not a substitute for probability measurements in large language modelsJennifer Hu, Roger Levy2023 · 133 citations
- OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkJian Hu, Xibin Wu, Wei Shen, et al.2024 · 132 citations
- ReFT: Reasoning with Reinforced Fine-TuningLuong Trung, Xinbo Zhang, Zhanming Jie, et al.2024 · 131 citations
- Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, et al.2023 · 131 citations
- Task-aware Retrieval with InstructionsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
- Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
- FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 130 citations
- MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
- Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
- Faithful Logical Reasoning via Symbolic Chain-of-ThoughtJundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
- Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
- Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
- ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 128 citations
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsXuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 127 citations
- Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsShahriar Golchin, Mihai Surdeanu2023 · 127 citations
- Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsYijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 126 citations
- SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 126 citations
- InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
- Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsZeming Wei, Yifei Wang, Ang Li, et al.2023 · 125 citations
- Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
- Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsLei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
- Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryPrateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 122 citations
- INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackWenda Xu, Danqing Wang, Liangming Pan, et al.2023 · 122 citations
- Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelJingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 121 citations
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearchYutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.2025 · 121 citations
- Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
- DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionZ. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
- Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningPranjal Aggarwal, Sean Welleck2025 · 119 citations
- AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
- Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningRuiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 119 citations
- The Impact of Reasoning Step Length on Large Language ModelsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
- Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 117 citations
- ArabicMMLU: Assessing Massive Multitask Language Understanding in ArabicFajri Koto, Haonan Li, Sara Shatnawi, et al.2024 · 116 citations
- Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 116 citations
- From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
- Demystifying Long Chain-of-Thought Reasoning in LLMsEdward Yeo, Yuxuan Tong, Morry Niu, et al.2025 · 113 citations
- ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
- CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionAlex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 113 citations
- Break the Sequential Dependency of LLM Inference Using Lookahead DecodingYichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 112 citations
- DistiLLM: Towards Streamlined Distillation for Large Language ModelsJongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 111 citations
- V-STaR: Training Verifiers for Self-Taught ReasonersArian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 111 citations
- Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsKanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
- Certifying LLM Safety against Adversarial PromptingAounon Kumar, Chirag Agarwal, Suraj Srinivas, et al.2023 · 110 citations
- Evaluating the Performance of Large Language Models on GAOKAO BenchmarkXiaotian Zhang, Chunyang Li, Yi Zong, et al.2023 · 107 citations
- TokenSkip: Controllable Chain-of-Thought Compression in LLMsHeming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
- Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsChris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
- LENS: A Learnable Evaluation Metric for Text SimplificationMounica Maddela, Yao Dou, David Heineman, et al.2023 · 103 citations
- Nemotron-4 340B Technical ReportNvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
- UI-TARS: Pioneering Automated GUI Interaction with Native AgentsYujia Qin, Yining Ye, Junjie Fang, et al.2025 · 101 citations
- Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
- LongAlign: A Recipe for Long Context Alignment of Large Language ModelsYushi Bai, Xin Lv, Jiajie Zhang, et al.2024 · 97 citations
- MAmmoTH2: Scaling Instructions from the WebXiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 94 citations
- Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
- 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
- Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
- The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsLaura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
- Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
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