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20242026
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cs.CL2026

V-SEAM: Visual Semantic Editing and Attention Modulating for Causal Interpretability of Vision-Language Models

Qidong Wang, Junjie Hu, Ming Jiang

Recent advances in causal interpretability have extended from language models to vision-language models (VLMs), seeking to reveal their internal mechanisms through input interventi…

cs.CL2025

No Preference Left Behind: Group Distributional Preference Optimization

Binwei Yao, Zefan Cai, Yun-Shiuan Chuang +4

Preferences within a group of people are not uniform but follow a distribution. While existing alignment methods like Direct Preference Optimization (DPO) attempt to steer models t…

cs.CL2025

Large Language Models Are Active Critics in NLG Evaluation

Shuying Xu, Junjie Hu, Ming Jiang

The conventional paradigm of using large language models (LLMs) for natural language generation (NLG) evaluation relies on pre-defined task definitions and evaluation criteria, pos…

cs.CL2024

How Well Do LLMs Identify Cultural Unity in Diversity?

Jialin Li, Junli Wang, Junjie Hu +1

Much work on the cultural awareness of large language models (LLMs) focuses on the models' sensitivity to geo-cultural diversity. However, in addition to cross-cultural differences…

cs.CL2024

CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model

Yang Lei, Jiangtong Li, Dawei Cheng +2

Large language models (LLMs) have demonstrated great potential in the financial domain. Thus, it becomes important to assess the performance of LLMs in the financial tasks. In this…