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cs.CL2025★ 2 cited
FineMedLM-o1: Enhancing Medical Knowledge Reasoning Ability of LLM from Supervised Fine-Tuning to Test-Time Training
Hongzhou Yu, Tianhao Cheng, Yingwen Wang +6
Recent advancements in large language models (LLMs) have shown promise in medical applications such as disease diagnosis and treatment planning. However, most existing medical LLMs…
cs.CL2024★ 2 cited
CT2C-QA: Multimodal Question Answering over Chinese Text, Table and Chart
Bowen Zhao, Tianhao Cheng, Yuejie Zhang +3
Multimodal Question Answering (MMQA) is crucial as it enables comprehensive understanding and accurate responses by integrating insights from diverse data representations such as t…
cs.CL2023
Large Language Models are Complex Table Parsers
Bowen Zhao, Changkai Ji, Yuejie Zhang +5
With the Generative Pre-trained Transformer 3.5 (GPT-3.5) exhibiting remarkable reasoning and comprehension abilities in Natural Language Processing (NLP), most Question Answering…