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Meng Jiang

Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
2026 · Fengran Mo, Yifan Gao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs
2026 · Zheyuan Liu, Liqiang Xiao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Front Matter
2026 · Kaiyu Huang, Fengran Mo, et al. · Workshop on Multilinguality in the Era of Large Language Models (MeLLM)
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Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
2026 · Zheyuan Liu, Yixin Wan, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
2026 · Rui Qi, Fengran Mo, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring
2026 · Tengchao Yang, Sichen Guo, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues
2026 · Zheyuan Liu, Dongwhi Kim, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
2026 · Mengzhao Jia, Zhihan Zhang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Works count: 8
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