June 11, 2024, 4:43 a.m. | Joongwon Kim, Bhargavi Paranjape, Tushar Khot, Hannaneh Hajishirzi

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.06469v1 Announce Type: cross
Abstract: Language agents perform complex tasks by using tools to execute each step precisely. However, most existing agents are based on proprietary models or designed to target specific tasks, such as mathematics or multi-hop question answering. We introduce Husky, a holistic, open-source language agent that learns to reason over a unified action space to address a diverse set of complex tasks involving numerical, tabular, and knowledge-based reasoning. Husky iterates between two stages: 1) generating the next …

agent arxiv cs.ai cs.cl cs.lg language reasoning type

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