Yuanxin Liu

TempCompass. [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou

FETV. [NeurIPS 2023 Datasets and Benchmarks] "FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation", Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

video_reason_bench. [ICLR 2026] "VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?", Yuanxin Liu, Kun Ouyang, Haoning Wu, Yi Liu, Lin Sui, Xinhao Li, Yan Zhong, Y. Charles, Xinyu Zhou, Xu Sun

sparse-and-robust-PLM. [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

TAMT. [NAACL 2022] "Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training", Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weipinng Wang, Jie Zhou

Rosita. [AAAI 2021] "ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques", Yuanxin Liu, Zheng Lin, Fengcheng Yuan

FETV-EVAL. Evaluation of generated videos on the FETV benchmark

video-t3. [ICLR 2025] "Temporal Reasoning Transfer from Text to Video", Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu

Awesome-Text2Image-Video-Evaluation. Summary of text-to-image/video synthesis evaluation papers

Marginal-Utility-Diminishes. [ACL 2021] "Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation", Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou

Awesome-LLMs-for-Video-Understanding. 🔥🔥🔥Latest Papers, Codes and Datasets on Vid-LLMs.