🔗 Who cites «Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Can a Single Model Master Both Multi-turn Conversations and Tool Use? CoALM: A Unified Conversational Agentic Language Model»

1. ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Simon Lupart, Mohammad Aliannejadi, Evangelos Kanoulas2026 · 5 citations
2. Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani, et al.2026 · 3 citations
3. EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanqi Mu, Bingfeng Pi, Defei Xia, et al.2026
4. Training Verifier to Assessing Complex Real-World Tool-Use TrajectoriesFindings of the Association for Computational LinguisticsLinzhuang Sun, Mingyang Chen, Hao Liang, et al.2026

8 more papers of our library cite it; they have no page here yet.

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