Quanyu Long

Orcid: 0000-0002-4839-012X

According to our database1, Quanyu Long authored at least 25 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents.
CoRR, April, 2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.
CoRR, April, 2026

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory.
CoRR, February, 2026

Self-Verification Dilemma: Experience-Driven Suppression of Overused Checking in LLM Reasoning.
CoRR, February, 2026

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.
CoRR, February, 2026

Programming over Thinking: Efficient and Robust Multi-Constraint Planning.
CoRR, January, 2026

A causal saliency enhancement and Mamba-based multi-scale feature fusion encoding framework for railway fastener fault diagnosis.
Adv. Eng. Informatics, 2026

Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verification.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Causality Matters: How Temporal Information Emerges in Video Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation.
CoRR, October, 2025

BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking.
CoRR, April, 2025

Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries.
CoRR, February, 2025

Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts.
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.
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.
CoRR, 2024

Large Language Models Know What Makes Exemplary Contexts.
CoRR, 2024

Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning.
CoRR, 2024

Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation.
CoRR, 2024

2023
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
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.
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.
IEEE Access, 2020

On the Robustness of Language Encoders against Grammatical Errors.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


  Loading...