Qianqi Yan

According to our database, Qianqi Yan authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Auditing Agent Harness Safety.

Chengzhi Liu, Yichen Guo, Yepeng Liu, Yuzhe Yang, Qianqi Yan, Xuandong Zhao, Wenyue Hua, Sheng Liu, Sharon Li, Yuheng Bu, Xin Eric Wang

CoRR, May, 2026

Skill-CMIB: Multimodal Agent Skill for Consistent Action via Conditional Multimodal Information Bottleneck.

Zihan Huang, Junda Wu, Tong Yu, Qianqi Yan, Rohan Surana, Uttaran Bhattacharya, Lina Yao, Xin Eric Wang, Julian J. McAuley

CoRR, May, 2026

OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs.

Qianqi Yan, Yichen Guo, Ching-Chen Kuo, Shan Jiang, Hang Yin, Yang Zhao, Xin Eric Wang

CoRR, April, 2026

Cite-While-You-Generate: Training-Free Evidence Attribution for Multimodal Clinical Summarization.

Qianqi Yan, Huy Nguyen, Sumana Srivatsa, Hari Bandi, Xin Eric Wang, Krishnaram Kenthapadi

CoRR, January, 2026

2025

Enhancing Faithfulness in Abstractive Summarization via Span-Level Fine-Tuning.

Sicong Huang, Qianqi Yan, Shengze Wang, Ian Lane

CoRR, October, 2025

"PhyWorldBench": A Comprehensive Evaluation of Physical Realism in Text-to-Video Models.

Jing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan, Fangrui Zhu, Daniel Hong, Yue Fan, Qianqi Yan, Kaiwen Zhou, Ming-Yu Liu, Xin Eric Wang

CoRR, July, 2025

Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models.

Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang

CoRR, June, 2025

Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs.

Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang

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

Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA.

Qianqi Yan, Xuehai He, Xiang Yue, Xin Eric Wang

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

Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models.

Qianqi Yan, Yue Fan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang

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

2024

Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA.

Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang

CoRR, 2024

Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA.

Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Yang Zhao, Xinze Guan, Xin Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024