Can LLMs Reason and Plan? Abstract: Large Language Models (LLMs) are on track to reverse what seemed like an inexorable shift of AI from explicit to tacit knowledge tasks.

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, …

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing

Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai Parinthapat Pengpun, Can Udomcharoenchaikit, Weerayut Buaphet, Peerat Limkonchotiwat

ACL 2024 Conference Overview.Conference Overview Full program on Underline Enhance your event experience by downloading our official app, ensuring you stay informed, connect with fellow …