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cs.CL2026
iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph Annotations
Wenshuo Wang, Boyu Cao, Nan Zhuang +1
A fundamental obstacle to causal discovery from text is the lack of causally annotated text data for use as ground truth, due to high annotation costs. This motivates an important…
cs.CL2025
Alleviating Choice Supportive Bias in LLM with Reasoning Dependency Generation
Nan Zhuang, Wenshuo Wang, Lekai Qian +3
Recent studies have demonstrated that some Large Language Models exhibit choice-supportive bias (CSB) when performing evaluations, systematically favoring their chosen options and…