🧑‍🔬 Hao Peng — all works

34 works · ← Hao Peng

1. Classifying Relations via Long Short Term Memory Networks along Shortest Dependency PathsConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Xu, Lili Mou, Ge Li, et al.2015 · 775 citations
2. Complexity-Based Prompting for Multi-Step ReasoningarXiv:2210.00720Yao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 345 citations
3. Contextualized Perturbation for Textual Adversarial AttackConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dianqi Li, Yizhe Zhang, Hao Peng, et al.2021 · 283 citations
4. Learning from Context or Names? An Empirical Study on Neural Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Tianyu Gao, Xu Han, et al.2020 · 255 citations
5. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 224 citations
6. Deep Multitask Learning for Semantic Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Sam Thomson, Noah A. Smith2017 · 211 citations
7. A Convolutional Attention Network for Extreme Summarization of Source CodearXiv:1602.03001Miltiadis Allamanis, Hao Peng, Charles Sutton2016 · 198 citations
8. Executable Code Actions Elicit Better LLM AgentsarXiv:2402.01030Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 165 citations
9. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
10. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
11. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine TranslationarXiv:2006.10369Jungo Kasai, Nikolaos Pappas, Hao Peng, et al.2020 · 134 citations
12. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackarXiv:2305.10142Yao Fu, Hao Peng, Tushar Khot, et al.2023 · 132 citations
13. Data Engineering for Scaling Language Models to 128K ContextarXiv:2402.10171Yao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 109 citations
14. More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction ↗Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yetXu Han et al.2020 · 106 citations
15. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
16. MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Yulin Chen, Ning Ding, et al.2022 · 96 citations
17. LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chi Han, Qifan Wang, Hao Peng, et al.2024 · 95 citations
18. Retrieval Head Mechanistically Explains Long-Context FactualityarXiv:2404.15574Wenhao Wu, Yizhong Wang, Guangxuan Xiao, et al.2024 · 94 citations
19. Tailor: Generating and Perturbing Text with Semantic ControlsAnnual Meeting of the Association for Computational Linguistics (ACL)Alexis Ross, Tongshuang Wu, Hao Peng, et al.2022 · 93 citations
20. HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetZhongfen Deng et al.2021 · 87 citations
21. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning PerformancearXiv:2305.17306Yao Fu, Litu Ou, Mingyu Chen, et al.2023 · 72 citations
22. Free Process Rewards without Process LabelsarXiv:2412.01981Lifan Yuan, Wendi Li, Huayu Chen, et al.2024 · 58 citations
23. The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning ↗arXiv:2505.15134 · no summary yetShivam Agarwal et al.2025 · 47 citations
24. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
25. Infusing Finetuning with Semantic DependenciesTransactions of the Association for Computational Linguistics (TACL)Zhaofeng Wu, Hao Peng, Noah A. Smith2021 · 35 citations
26. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
27. Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
28. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
29. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
30. MAVEN-FACT: A Large-scale Event Factuality Detection DatasetFindings of the Association for Computational LinguisticsChunyang Li, Hao Peng, Xiaozhi Wang, et al.2024 · 6 citations
31. MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Zhang, Ziqian Zeng, Hao Peng, et al.2026 · 5 citations
32. LLMs are Vulnerable to Malicious Prompts Disguised as Scientific LanguagearXiv:2501.14073Yubin Ge, Neeraja Kirtane, Hao Peng, et al.2025 · 5 citations
33. Activation-Guided Local Editing for Jailbreaking AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jiecong Wang, Haoran Li, Hao Peng, et al.2026 · 1 citation
34. 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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