🧑‍🔬 Who cites Chau Minh Pham

90 citations of their works from 90 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← Chau Minh Pham

1. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
2. Can Unconfident LLM Annotations Be Used for Confident Conclusions?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kristina Gligorić, Tijana Zrnic, Cinoo Lee, et al.2025 · 19 citations
3. 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
4. LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jianghao Chen, Junhong Wu, Yangyifan Xu, et al.2025 · 12 citations
5. Literature Meets Data: A Synergistic Approach to Hypothesis GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, et al.2025 · 12 citations
6. Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic ModelsFindings of the Association for Computational LinguisticsThanh Vinh Nguyen, Ngo Van Dong, Minh Chu Xuan, et al.2026 · 1 citation
7. Frankentext: Stitching random text fragments into long-form narrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Chau Minh Pham, Jenna Russell, Dzung Pham, et al.2026 · 1 citation
8. IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zechen Sun, Yuyang Sun, Zecheng Tang, et al.2026 · 1 citation
9. Towards Modern Topic Models: A Survey of Taxonomies and Paradigm Shifts from Algorithm-Centric to LLM-Centered Topic AnalysisFindings of the Association for Computational LinguisticsXuan Xu, Zhongliang Yang, Haolun Li, et al.2026 · 1 citation
10. AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey MotivationarXiv:2506.14634 · Survey Research Methods (2025)Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß, et al.2025 · 1 citation
11. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasksFindings of the Association for Computational LinguisticsChau Minh Pham, Zichao Wang, Puneet Mathur, et al.2026
12. CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic ModelingFindings of the Association for Computational LinguisticsKarthik Singaravadivelan, Anant Gupta, Zekun Wang, et al.2026
13. Evaluating Language Model Pluralism through In-the-wild Crowd DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Gagan Mundada, Rohan Surana, Nandhini Swaminathan, et al.2026
14. From Documents to Segments: A Contextual Reformulation for Topic AssignmentFindings of the Association for Computational LinguisticsHoonsang Yoon, Takyoung Kim, Wonkee Lee, et al.2026
15. Launch and Aftermath: Contrasting Social Media Responses to Chatbot Releases. The Cases of Meta's Galactica and OpenAI's ChatGPTWorkshop on Natural Language Processing and Computational Social ScienceMaximilian Weber, Johannes B. Gruber2026
16. LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.2026
17. Model Directions, Not Words: Mechanistic Topic Models Using Sparse AutoencodersTransactions of the Association for Computational Linguistics (TACL)Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.2026
18. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026
19. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026

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