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cs.LG2025
Expanding the Action Space of LLMs to Reason Beyond Language
Zhongqi Yue, Weishi Wang, Yundaichuan Zhan +3
Large Language Models (LLMs) are powerful reasoners in natural language, but their actions are typically confined to outputting vocabulary tokens. As a result, interactions with ex…
cs.CL2025★ 2 cited
Document Intelligence in the Era of Large Language Models: A Survey
Weishi Wang, Hengchang Hu, Zhijie Zhang +3
Document AI (DAI) has emerged as a vital application area, and is significantly transformed by the advent of large language models (LLMs). While earlier approaches relied on encode…