Jiajun Xu

Jiajun Xu

he/him

interested in machine learning, computer vision and multimodal

Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

R-Bench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation

Published in ICML2025, 2025

In this paper, we introduce a graduate-level, multi-disciplinary, EnglishChinese benchmark, dubbed as Reasoning Bench (R-Bench), for assessing the reasoning capability of both language and multimodal models. RBench spans 1,094 questions across 108 subjects for language model evaluation and 665 questions across 83 subjects for multimodal model testing in both English and Chinese.

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VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation

Published in ICCV2026 underreview, 2025

We present VisionReward, a general framework for learning human visual preferences in both image and video generation. Specifically, we employ a hierarchical visual assessment framework to capture fine-grained human preferences, and leverages linear weighting to enable interpretable preference learning. Furthermore, we propose a multi-dimensional consistent strategy when using VisionReward as a reward model during preference optimization for visual generation.

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