Who cites Michelle Yuan
- Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
- 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
- Adapting Coreference Resolution Models through Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Michelle Yuan, Patrick Xia, Chandler May, et al.2022 · 35 citations
- Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsFindings of the Association for Computational LinguisticsNghia T. Le, Fan Bai, Alan Ritter2022 · 20 citations
- ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot ScenariosTransactions of the Association for Computational Linguistics (TACL)Markus Bayer, Justin Lutz, Christian Reuter2026 · 16 citations
- Major Entity Identification: A Generalizable Alternative to Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, et al.2024 · 13 citations
- Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia TextsConference of the European Chapter of the Association for Computational Linguistics (EACL)Juntao Yu, Silviu Paun, Maris Camilleri, et al.2023 · 12 citations
- Multilingual Coreference Resolution in Multiparty DialogueTransactions of the Association for Computational Linguistics (TACL)Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, et al.2023 · 11 citations
- Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling PerspectiveIan Porada, Alexandra Olteanu, Kaheer Suleman, et al.2024 · 10 citations
- Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Nupoor Gandhi, Anjalie Field, Emma Strubell2023 · 10 citations
- 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
- 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
- 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
- Preference-Aware Memory Update for Long-Term LLM AgentsFindings of the Association for Computational LinguisticsHaoran Sun, Zekun Zhang, Shaoning Zeng2026 · 4 citations
- 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
- 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
- Reassessing Active Learning Adoption in Contemporary NLP: A Community SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Julia Romberg, Christopher Schröder, Julius Gonsior, et al.2026 · 1 citation
- LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, et al.2026
- Supervised Contrastive Fine-Tuning for Active Few-Shot LearningLanguage Resources and Evaluation Conference (LREC)Zirui Zhang, Lei Ge, Shengyu Qiao2026
- The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
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