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cs.CL2024
Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing Method
Jiayi Lin, Chenyang Zhang, Haibo Tong +4
Multi-Span Question Answering (MSQA) requires models to extract one or multiple answer spans from a given context to answer a question. Prior work mainly focuses on designing speci…
cs.CL2024
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
Chenyang Zhang, Jiayi Lin, Haibo Tong +4
Large language models (LLMs) show remarkable abilities with instruction tuning. However, they fail to achieve ideal tasks when lacking high-quality instruction tuning data on targe…
cs.CL2024
Probing Causality Manipulation of Large Language Models
Chenyang Zhang, Haibo Tong, Bin Zhang +1
Large language models (LLMs) have shown various ability on natural language processing, including problems about causality. It is not intuitive for LLMs to command causality, since…