Papers by Yangfu Zhu
Interesting Culture: Social Relation Recognition from Videos via Culture De-confounding (2025.findings-emnlp)
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| Challenge: | a culturally-specific cultural context can be used to train relationship recognition models . cultural confounding factors can be learned, limiting ability to recognize social relationships in different cultures. |
| Approach: | They propose a culturally-based model that mitigates the influence of culture . they also construct a video social relation recognition dataset to facilitate discussion . |
| Outcome: | The proposed model surpasses state-of-the-art methods on several datasets. |
MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning? (2026.acl-long)
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| Challenge: | Existing benchmarks rarely isolate how much visual information contributes to reasoning . a growing collection of benchmarks has catalyzed rapid progress in multimodal reasoning - but how much it contributes remains unclear . |
| Approach: | They propose a university-level multimodal mathematical reasoning benchmark to quantify the effect of visual input. |
| Outcome: | The proposed benchmark disentangles and quantifies the effect of visual input on multimodal reasoning models. |
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models (2024.findings-emnlp)
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| Challenge: | AC-EVAL is a benchmark designed to assess the advanced knowledge and reasoning capabilities of LLMs within the context of ancient Chinese. |
| Approach: | They propose a benchmark to assess the advanced knowledge and reasoning capabilities of LLMs in ancient Chinese. |
| Outcome: | AC-EVAL aims to assess the comprehension of ancient Chinese texts . the benchmark covers 13 tasks covering historical facts, geography, social customs, art, philosophy, classical poetry and prose. |