Research Interest
My recent research focuses on contextualized augmentations and their applications, particularly in retrieval-augmented language models (RALMs), retrieving informative contexts for in-context learning (ICL), and aligning retrieval with large language models (LLMs).
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Preprints
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
Haozhen Zhang, Quanyu Long, Jianzhu Bao, Tao Feng, Weizhi Zhang, Haodong Yue, Wenya Wang
ArXiv Preprint, 2026.
Self-Verification Dilemma: Experience-Driven Suppression of Overused Checking in LLM Reasoning
Quanyu Long, Kai Jie Jiang, Jianda Chen, Xu Guo, Leilei Gan, Wenya Wang
ArXiv Preprint, 2026.
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
Haozhen Zhang, Haodong Yue, Tao Feng, Quanyu Long, Jianzhu Bao, Bowen Jin, Weizhi Zhang, Xiao Li, Jiaxuan You, Chengwei Qin, Wenya Wang
ArXiv Preprint, 2026.
Programming over Thinking: Efficient and Robust Multi-Constraint Planning
Derrick Goh Xin Deik, Quanyu Long, Zhengyuan Liu, Nancy F Chen, Wenya Wang
ArXiv Preprint, 2026.
From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation
Ziwei Huang, Ying Shu, Hao Fang, Quanyu Long, Wenya Wang, Qiushi Guo, Tiezheng Ge, Leilei Gan
ArXiv Preprint, 2025.
Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification
Qisheng Hu, Quanyu Long, Wenya Wang
ArXiv Preprint, 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
ArXiv Preprint, 2025.
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking
Qisheng Hu, Quanyu Long, Wenya Wang
ArXiv Preprint, 2025.
Large Language Models Know What Makes Exemplary Contexts
Quanyu Long, Jianda Chen, Wenya Wang, Sinno Jialin Pan
ArXiv Preprint, 2024.
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Published Papers
Causality Matters: How Temporal Information Emerges in Video Language Models
Yumeng Shi, Quanyu Long, Yin Wu, Wenya Wang
In Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI), 2026.
Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering
Yumeng Shi, Quanyu Long, Wenya Wang
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2025.
Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers
Quanyu Long*, Yue Deng*, Leilei Gan, Wenya Wang, Sinno Jialin Pan
Second Conference on Language Modeling (COLM), 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
Findings of the Association for Computational Linguistics (ACL Findings), 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, Long Chan, Hao Jiang, Leilei Gan, Fei Wu
The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Main), 2025.
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
Qisheng Hu, Quanyu Long, Wenya Wang
2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL Main), 2025.
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning
Quanyu Long*, Yin Wu*, Wenya Wang, Sinno Jialin Pan
First Conference on Language Modeling (COLM), 2024.
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning
Quanyu Long, Wenya Wang, Sinno Jialin Pan
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2023.
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
Generative Imagination Elevates Machine Translation
Quanyu Long, Mingxuan Wang, Lei Li
2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
On the Robustness of Language Encoders against Grammatical Errors
Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang
The 58th Annual Meeting of the Association for Computational Linguistics (ACL), 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, vol. 8, pp. 29677-29689, 2020.
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Internship
- Jun. 2024 - Sep. 2024: Research intern at I2R, A*STAR, advised by Nancy F. Chen
- Mar. 2020 - Nov. 2020: Research intern at ByteDance AI Lab, advised by Prof. Lei Li
- Jul. 2019 - Dec. 2019: Visiting intern at UCLA NLP lab, advised by Prof. Kai-Wei Chang
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Awards
- Singapore Research Scholarship, NTU. 2021-2025
- Zhiyuan Honor Degree of Bachelor of Engineering in Computer Science and Technology, SJTU. 2020
- Shanghai Scholarship (top 3%), SJTU. 2018
- Matsushita Electric Education Scholarship (top 5%), SJTU. 2017
- Zhiyuan College Honors Scholarship, SJTU. 2017-2019
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