22 citations · 40 across the 6 of their papers we have counts for
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cs.CL2024★ 2 cited
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions
Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani +3
Remarkable performance of large language models (LLMs) in a variety of tasks brings forth many opportunities as well as challenges of utilizing them in production settings. Towards…
cs.CL2023★ 6 cited
Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents
Yue Wu, So Yeon Min, Yonatan Bisk +5
Pre-trained large language models (LLMs) capture procedural knowledge about the world. Recent work has leveraged LLM's ability to generate abstract plans to simplify challenging co…
cs.CL2016★ 22 cited
Joint Extraction of Events and Entities within a Document Context
Bishan Yang, Tom Mitchell
Events and entities are closely related; entities are often actors or participants in events and events without entities are uncommon. The interpretation of events and entities is…