Who cites Ben Mann
- CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
- Eliciting Latent Predictions from Transformers with the Tuned LensNora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 179 citations
- Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
- ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 177 citations
- OpenChat: Advancing Open-source Language Models with Mixed-Quality DataGuan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 171 citations
- Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
- Low-Resource Languages Jailbreak GPT-4Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach2023 · 168 citations
- Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
- Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionCollin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
- Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
- GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 162 citations
- The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False DatasetsSamuel Marks, Max Tegmark2023 · 160 citations
- GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
- WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
- Iterative Reasoning Preference OptimizationRichard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 144 citations
- Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
- MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
- Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 142 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
- Detecting Language Model Attacks with PerplexityGabriel Alon, Michael Kamfonas2023 · 136 citations
- A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
- SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
- Self-Alignment with Instruction BacktranslationXian Li, Ping Yu, Chunting Zhou, 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
- Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 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
- AceGPT, Localizing Large Language Models in ArabicHuang Huang, Fei Yu, Jianqing Zhu, et al.2024 · 127 citations
- SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 126 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
- Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
- Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 121 citations
- Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
- Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningRuiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 119 citations
- Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 117 citations
- ProcessBench: Identifying Process Errors in Mathematical ReasoningChujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
- From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
- SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
- ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 106 citations
- Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsChris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 104 citations
- Nemotron-4 340B Technical ReportNvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
- Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 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
- D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
- Scaling Laws and Interpretability of Learning from Repeated DataDanny Hernandez, Tom Brown, Tom Conerly, et al.2022 · 62 citations
- Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
- Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
- Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingJaehun Jung, Peter West, Liwei Jiang, et al.2023 · 33 citations
- Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
- Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingHritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
- Evaluating Large Language Models for Health-related Queries with PresuppositionsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
- Alignment at Pre-training! Towards Native Alignment for Arabic LLMsJuhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
- Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnLiang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
- Constituency Parsing using LLMsXuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
- from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsYu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
- Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachChuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
- AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in AlbanianWajdi Zaghouani, Kholoud Khalil Aldous, Isra Fejzullaj2026 · 1 citation
- BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic ReasoningHa Thanh Nguyen, Hideyuki Tachibana, Chaoran Liu, et al.2026 · 1 citation
- Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and SafetyQian Shen, Fanghua Cao, Min Yao, et al.2026 · 1 citation
- In-Distribution Steering: Balancing Control and Coherence in Language Model GenerationArthur Vogels, Benjamin Wong, Yann Choho, et al.2026 · 1 citation
- Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation TaskDawson Petersen, Abhishek Purushothama, Nathan Schneider2026 · 1 citation
- HAMSA: Hijacking Aligned Compact Models via Stealthy AutomationAlexey Krylov, Iskander Vagizov, Dmitrii Korzh, et al.2025 · 1 citation
- AnswerCarefully: Creating a Dataset for LLM Safety in JapaneseHisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.2026
- Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMsArnav Attri, Anuj Attri2026
- DiPS: Dialogue Policy Selection for High-Stakes Persuasion AgentsTianyi Zhang, Mousumi Das, Abrar Anwar, et al.2026
- Judging Instruction Responses in a Low-Resource Language: A Case Study on BasqueDavid Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.2026
- SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsOmar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
- Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsHongyuan Adam Lu, Wai Lam2026
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