🧑‍🔬 Who cites Jason Cai

78 citations of their works from 78 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← Jason Cai

1. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
2. 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
3. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Srijan Bansal, Yifei Ming, et al.2025 · 14 citations
4. Understanding LLM Reasoning for Abstractive SummarizationFindings of the Association for Computational LinguisticsHaohan Yuan, Haopeng Zhang2026 · 11 citations
5. AraHalluEval: A Fine-grained Hallucination Evaluation Framework for Arabic LLMsArabic Natural Language Processing Conference (ArabicNLP)Aisha Alansari, Hamzah Luqman2025 · 9 citations
6. StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMsFindings of the Association for Computational LinguisticsHaohan Yuan, Sukhwa Hong, Haopeng Zhang2025 · 9 citations
7. H-MEM: Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Haoran Sun, Shaoning Zeng, Bob Zhang2026 · 8 citations
8. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
9. SWE-QA: Can Language Models Answer Repository-level Code Questions?Findings of the Association for Computational LinguisticsWeihan Peng, Yuling Shi, Yuhang Wang, et al.2026 · 7 citations
10. 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
11. Preference-Aware Memory Update for Long-Term LLM AgentsFindings of the Association for Computational LinguisticsHaoran Sun, Zekun Zhang, Shaoning Zeng2026 · 4 citations
12. 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
13. MT-OSC: Path for LLMs that Get Lost in Multi-Turn ConversationFindings of the Association for Computational LinguisticsJyotika Singh, Fang Tu, Miguel Ballesteros, et al.2026 · 3 citations
14. Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language ModelsLanguage Resources and Evaluation Conference (LREC)Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.2026 · 1 citation
15. Evaluating Reference-Free Summarization Quality Metrics for Portuguese: A Study with Human Judgments in Financial NewsInternational Conference on Computational Processing of PortugueseJoão Victor Assaoka Ribeiro, Thomas Pires Correia, José Vitor Souza Cardoso Requena, et al.2026
16. InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in SummarizationLanguage Resources and Evaluation Conference (LREC)Kosuke Nishida, Kyosuke Nishida, Itsumi Saito2026
17. Learning to Control Summaries with Score RankingFindings of the Association for Computational LinguisticsHongye Liu, Liang Ding, Ricardo Henao2026
18. Poller: Are LLMs Suitable for Evaluating Poetry Understanding Task?Findings of the Association for Computational LinguisticsShanshan Wang, Derek F. Wong, Jingming Yao, et al.2026
19. SAUCE: Summary Analysis Using Conversation EntailmentWorkshop on Generation, Evaluation and Metrics (GEM)Man-Ling Sung, Hemanth Kandula, Jeff Ma, et al.2026

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