🧑‍🔬 Who cites Pengfei He

74 citations of their works from 73 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Pengfei He

1. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
2. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
3. RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.2023 · 89 citations
4. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 79 citations
5. Teaching Large Language Models to Reason with Reinforcement LearningarXiv:2403.04642Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, et al.2024 · 61 citations
6. 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
7. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.2026 · 49 citations
8. Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decodingarXiv:2309.15028Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al.2023 · 46 citations
9. Tailoring Self-Rationalizers with Multi-Reward DistillationInternational Conference on Learning Representations (ICLR)Sahana Ramnath, Brihi Joshi, Skyler Hallinan, et al.2023 · 14 citations
10. Empowering GraphRAG with Knowledge Filtering and IntegrationConference on Empirical Methods in Natural Language Processing (EMNLP)Kai Guo, Harry Shomer, Shenglai Zeng, et al.2025 · 12 citations
11. Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Yu, Liuyi Yao, Yuexiang Xie, et al.2026 · 6 citations
12. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.2026 · 6 citations
13. Query-Efficient Agentic Graph Extraction Attacks on GraphRAG SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shuhua Yang, Jiahao Zhang, Yilong Wang, et al.2026 · 4 citations
14. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
15. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
16. Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent ParadigmsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinlin Wang2026 · 1 citation
17. Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool UseFindings of the Association for Computational LinguisticsWuyang Zhang, Shichao Pei2026 · 1 citation
18. Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.2026
19. CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM AgentsFindings of the Association for Computational LinguisticsZijing Zhang, Xiajie Yang2026
20. Demystify the Role of Memory in Machine Learning Engineering AgentsFindings of the Association for Computational LinguisticsXinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.2026
21. ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-trainingFindings of the Association for Computational LinguisticsYifan Yang, Jinghui Lu, Evadeng, et al.2026
22. Topology Matters: Measuring Memory Leakage in Multi-Agent LLMsFindings of the Association for Computational LinguisticsJinbo Liu, Defu Cao, Yifei Wei, et al.2026
23. When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.2026

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