Yijun Liang

According to our database, Yijun Liang authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

Do Synthetic Trajectories Reflect Real Reward Hacking? A Systematic Study on Monitoring In-the-Wild Hacking in Code Generation.

Lichen Li, Hengguang Zhou, Yijun Liang, Tianyi Zhou, Cho-Jui Hsieh

CoRR, April, 2026

History-Conditioned Spatio-Temporal Visual Token Pruning for Efficient Vision-Language Navigation.

Qitong Wang, Yijun Liang, Ming Li, Tianyi Zhou, Christopher Rasmussen

CoRR, March, 2026

2025

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions.

Chenrui Fan, Yijun Liang, Shweta Bhardwaj, Kwesi Cobbina, Ming Li, Tianyi Zhou

CoRR, December, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Diffusion Curriculum: Synthetic-to-Real Data Curriculum via Image-Guided Diffusion.

Yijun Liang, Shweta Bhardwaj, Tianyi Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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