Papers by Xiaohan Song

2 papers
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning (2025.findings-acl)

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Challenge: Social commonsense reasoning is a multimodal task that requires both textual and visual cues.
Approach: They propose a method that integrates visual cues into social commonsense reasoning tasks.
Outcome: The proposed method improves social commonsense reasoning on a multimodal foundation model.
CharacterGLM: Customizing Social Characters with Large Language Models (2024.emnlp-industry)

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Challenge: Character-based dialogue systems (CharacterDial) allow users to customize social characters for social interactions.
Approach: They will collect a large-scale Chinese corpus of characters with diverse categories and behaviors and develop CharacterGLM models to address these challenges.
Outcome: Experiments show that CharacterGLM outperforms most popular open- and closed-source LLMs and performs comparable to GPT-4.

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