Yunjia Qi

According to our database, Yunjia Qi authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

StoryAlign: Evaluating and Training Reward Models for Story Generation.

Haotian Xia, Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

CoRR, May, 2026

DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models.

Jiaqi Xiong, Yunjia Qi, Qi Cao, Yu Zheng, Yutong Zhang, Ziteng Wang, Ruofan Liao, Weisheng Xu, Sichen Liu

CoRR, March, 2026

WildReward: Learning Reward Models from In-the-Wild Human Interactions.

Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Lei Hou, Juanzi Li

CoRR, February, 2026

On the Paradoxical Interference between Instruction-Following and Task Solving.

Yunjia Qi, Hao Peng, Xintong Shi, Amy Xin, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

CoRR, January, 2026

2025

Evaluating Hydro-Science and Engineering Knowledge of Large Language Models.

Shiruo Hu, Wenbo Shan, Yingjia Li, Zhiqi Wan, Xinpeng Yu, Yunjia Qi, Haotian Xia, Yang Xiao, Dingxiao Liu, Jiaru Wang, Chenxu Gong, Ruixi Zhang, Shuyue Wu, Shibo Cui, Chee Hui Lai, Wei Luo, Yubin He, Bin Xu, Jianshi Zhao

CoRR, December, 2025

AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios.

Yunjia Qi, Hao Peng, Xiaozhi Wang, Amy Xin, Youfeng Liu, Bin Xu, Lei Hou, Juanzi Li

CoRR, May, 2025

LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization.

Xujia Wang, Yunjia Qi, Bin Xu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following.

Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking.

Amy Xin, Yunjia Qi, Zijun Yao, Fangwei Zhu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

StoryWriter: A Multi-Agent Framework for Long Story Generation.

Haotian Xia, Hao Peng, Yunjia Qi, Bin Xu, Juanzi Li, Lei Hou, Xiaozhi Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Constraint Back-translation Improves Complex Instruction Following of Large Language Models.

Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems.

Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Bin Xu, Lei Hou, Juanzi Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ADELIE: Aligning Large Language Models on Information Extraction.

Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MAVEN-FACT: A Large-scale Event Factuality Detection Dataset.

Chunyang Li, Hao Peng, Xiaozhi Wang, Yunjia Qi, Lei Hou, Bin Xu, Juanzi Li

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

2023

GBGVD: Growth-based geodesic Voronoi diagrams.

Yunjia Qi, Chen Zong, Yunxiao Zhang, Shuang-Min Chen, Minfeng Xu, Lingqiang Ran, Jian Xu, Shiqing Xin, Ying He

Graph. Model., October, 2023

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.

Hao Peng, Xiaozhi Wang, Jianhui Chen, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li

CoRR, 2023