🧑‍🔬 Who cites Daniel Egert

303 citations of their works from 244 papers of our library (of the 149,439 whose bibliographies we read) · 81 with a page here, the most cited first · ← Daniel Egert

1. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
2. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
3. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
4. PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPUACM SIGOPS Symposium on Operating Systems Principles (SOSP)Yixin Song, Zeyu Mi, Haotong Xie, et al.2023 · 272 citations
5. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
6. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
7. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsFindings of the Association for Computational LinguisticsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 153 citations
8. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
9. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
10. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
11. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
12. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
13. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
14. RLHF Workflow: From Reward Modeling to Online RLHFarXiv:2405.07863Hanze Dong, Wei Xiong, Bo Pang, et al.2024 · 111 citations
15. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
16. JudgeBench: A Benchmark for Evaluating LLM-based JudgesarXiv:2410.12784Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.2024 · 101 citations
17. A Survey of Reinforcement Learning from Human FeedbackTransactions on Machine Learning ResearchTimo Kaufmann, Paul Weng, Viktor Bengs, et al.2023 · 92 citations
18. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction DataarXiv:2410.01560Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.2024 · 85 citations
19. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
20. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 76 citations
21. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Wang, Yong Lin, Wei Xiong, et al.2024 · 68 citations
22. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
23. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
24. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
25. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-JudgeConference on Empirical Methods in Natural Language Processing (EMNLP)Tianhao Wu, Weizhe Yuan, Olga Golovneva, et al.2025 · 64 citations
26. SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online PolarizationInternational Workshop on Semantic Evaluation (SemEval)Usman Naseem, Robert Geislinger, Ada Ren, et al.2026 · 61 citations
27. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
28. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Mingjie Liu, Shizhe Diao, Ximing Lu, et al.2025 · 58 citations
29. 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
30. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
31. 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
32. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
33. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
34. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
35. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
36. LLM Pruning and Distillation in Practice: The Minitron ApproacharXiv:2408.11796Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.2024 · 44 citations
37. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
38. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
39. Checklists Are Better Than Reward Models For Aligning Language ModelsConference on Neural Information Processing Systems (NeurIPS)Vijay Viswanathan, Yanchao Sun, Shuang Ma, et al.2025 · 37 citations
40. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
41. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
42. Binary Classifier Optimization for Large Language Model AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Seungjae Jung, Gunsoo Han, Daniel Wontae Nam, et al.2025 · 26 citations
43. FuseChat: Knowledge Fusion of Chat ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fanqi Wan, Longguang Zhong, Ziyi Yang, et al.2025 · 25 citations
44. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
45. Improve LLM-as-a-Judge Ability as a General AbilityConference on Empirical Methods in Natural Language Processing (EMNLP)Jiachen Yu, Shaoning Sun, Xiaohui Hu, et al.2025 · 15 citations
46. From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksarXiv:2409.04168Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.2024 · 13 citations
47. U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsarXiv:2412.03205Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, et al.2024 · 13 citations
48. Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase PretrainingarXiv:2412.15285Steven Feng, Shrimai Prabhumoye, Kezhi Kong, et al.2024 · 12 citations
49. Multi-Attribute Steering of Language Models via Targeted InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2025 · 11 citations
50. When2Call: When (not) to Call ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hayley Ross, Ameya Sunil Mahabaleshwarkar, Yoshi Suhara2025 · 11 citations
51. Yi-Lightning Technical ReportarXiv:2412.01253Alan Wake, Bei Chen, C.X. Lv, et al.2024 · 11 citations
52. Nemotron-CrossThink: Scaling Self-Learning beyond Math ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Syeda Nahida Akter, Shrimai Prabhumoye, Matvei Novikov, et al.2026 · 9 citations
53. WildFeedback: Aligning LLMs With In-situ User Interactions And FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.2026 · 9 citations
54. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human PreferencesarXiv:2410.02381Genta Indra Winata, David Anugraha, Lucky Susanto, et al.2024 · 9 citations
55. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
56. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Jiang, Yuchen Yan, Yang Liu, et al.2025 · 8 citations
57. Learning to Judge: LLMs Designing and Applying Evaluation RubricsFindings of the Association for Computational LinguisticsClemencia Siro, Pourya Aliannejadi, Mohammad Aliannejadi2026 · 5 citations
58. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
59. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binghai Wang, Yantao Liu, Yuxuan Liu, et al.2026 · 3 citations
60. Tailoring Memory Granularity for Multi-Hop Reasoning over Long ContextsFindings of the Association for Computational LinguisticsPeijun Qing, Xingjian Diao, Chiyu Ma, et al.2026 · 3 citations
61. OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
62. Preference Learning Unlocks LLMs' Psycho-Counseling SkillsFindings of the Association for Computational LinguisticsMian Zhang, Shaun M. Eack, Zhiyu Chen2026 · 2 citations
63. Automated Creativity Evaluation of Language Models Across Open-Ended TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Tan Min Sen, Zachary Choy Kit Chun, Syed Ali Redha Alsagoff, et al.2026 · 1 citation
64. HARM: Learning Hate-Aware Reward Model for Evaluating Natural Language Explanations of Offensive ContentFindings of the Association for Computational LinguisticsLorenzo Puppi Vecchi, Alceu de Souza Britto Jr, Emerson Cabrera Paraiso, et al.2026 · 1 citation
65. SAGE : A Top-Down Bottom-Up Knowledge-Grounded User Simulator for Multi-turn Agent EvaluationFindings of the Association for Computational LinguisticsRyan Shea, Yunan Lu, Liang Qiu, et al.2026 · 1 citation
66. SCAN: Structured Capability Assessment and Navigation for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zongqi Wang, Tianle Gu, Chen Gong, et al.2026 · 1 citation
67. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Yu, Tianyi Xu, Michael A. Hedderich, et al.2026
68. Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data PipelinesFindings of the Association for Computational LinguisticsHwanjun Song2026
69. Debiasing Reward Models via Causally Motivated Inference-Time InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida2026
70. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
71. Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.2026
72. Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMsLanguage Resources and Evaluation Conference (LREC)Kei Moriyama, Takashi Kodama, Kouta Nakayama2026
73. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
74. Judging Instruction Responses in a Low-Resource Language: A Case Study on BasqueLanguage Resources and Evaluation Conference (LREC)David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.2026
75. PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware MetacognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Xu, Fuzhen Yang, Liang Lin, et al.2026
76. Revisiting Self-Play Preference Optimization: On the Role of Prompt DifficultyFindings of the Association for Computational LinguisticsYao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, et al.2026
77. Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Wang, Zhanyang Liu, Taotao Zhou, et al.2026
78. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
79. STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across DomainsLanguage Resources and Evaluation Conference (LREC)Daniel Steinigen, Lucie Flek, Sebastian Houben2026
80. Understanding Conflicts in Multi-Objective Alignment through Reward ConsistencyFindings of the Association for Computational LinguisticsZhihao Xu, Yongqi Tong, Xin Zhang, et al.2026
81. WildReward: Learning Reward Models from In-the-Wild Human InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2026

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