Yijun Liang

According to our database, Yijun Liang authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning.

Ming Li, Chenguang Wang, Yijun Liang, Xiyao Wang, Yuhang Zhou, Xiyang Wu, Yuqing Zhang, Ruiyi Zhang, Tianyi Zhou

CoRR, July, 2025

ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness.

Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou

CoRR, April, 2025

Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning.

Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion.

Yijun Liang, Shweta Bhardwaj, Tianyi Zhou

CoRR, 2024

Mosaic IT: Enhancing Instruction Tuning with Data Mosaics.

Ming Li, Pei Chen, Chenguang Wang, Hongyu Zhao, Yijun Liang, Yupeng Hou, Fuxiao Liu, Tianyi Zhou

CoRR, 2024

PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation.

Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan Lee Boyd-Graber

CoRR, 2024

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence.

Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning.

Shuai Peng, Di Fu, Yijun Liang, Liangcai Gao, Zhi Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

PmiRtarbase: A positive miRNA-target regulations database.

Peng Xu, Xianbin Li, Yijun Liang, Zhenshen Bao, Fengyue Zhang, Lili Gu, Saeed Kosari, Wenbin Liu

Comput. Biol. Chem., 2022

Compute Like Humans: Interpretable Step-by-step Symbolic Computation with Deep Neural Network.

Shuai Peng, Di Fu, Yong Cao, Yijun Liang, Gu Xu, Liangcai Gao, Zhi Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022