Quanyu Long

According to our database, Quanyu Long authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Causality Matters: How Temporal Information Emerges in Video Language Models.

Yumeng Shi, Quanyu Long, Yin Wu, Wenya Wang

CoRR, August, 2025

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification.

Qisheng Hu, Quanyu Long, Wenya Wang

CoRR, June, 2025

Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering.

Yumeng Shi, Quanyu Long, Wenya Wang

CoRR, April, 2025

BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking.

Qisheng Hu, Quanyu Long, Wenya Wang

CoRR, April, 2025

Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries.

Yin Wu, Quanyu Long, Jing Li, Jianfei Yu, Wenya Wang

CoRR, February, 2025

Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?

Qisheng Hu, Quanyu Long, Wenya Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts.

Quanyu Long, Jianda Chen, Zhengyuan Liu, Nancy F. Chen, Wenya Wang, Sinno Jialin Pan

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

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts.

Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Weilong Dai, Hao Jiang, Fei Wu, Leilei Gan

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

2024

T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts.

Ziwei Huang, Wanggui He, Quanyu Long, Yandi Wang, Haoyuan Li, Zhelun Yu, Fangxun Shu, Long Chan, Hao Jiang, Leilei Gan, Fei Wu

CoRR, 2024

Large Language Models Know What Makes Exemplary Contexts.

Quanyu Long, Jianda Chen, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning.

Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation.

Quanyu Long, Yue Deng, Leilei Gan, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

2023

Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning.

Quanyu Long, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.

Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Generative Imagination Elevates Machine Translation.

Quanyu Long, Mingxuan Wang, Lei Li

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

QA4IE: A Question Answering Based System for Document-Level General Information Extraction.

Lin Qiu, Dongyu Ru, Quanyu Long, Weinan Zhang, Yong Yu

IEEE Access, 2020

On the Robustness of Language Encoders against Grammatical Errors.

Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020