Qintong Li

According to our database1, Qintong Li authored at least 27 papers between 2019 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
ToolSelf: Unifying Task Execution and Self-Reconfiguration via Tool-Driven Intrinsic Adaptation.
CoRR, February, 2026

RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
DynaAct: Large Language Model Reasoning with Dynamic Action Spaces.
CoRR, November, 2025

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.
CoRR, May, 2025

TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning.
CoRR, March, 2025

Activation-Guided Consensus Merging for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
LELD: Learn enhancement by learning degradation.
Image Vis. Comput., 2024

Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration.
CoRR, 2024

Privacy in LLM-based Recommendation: Recent Advances and Future Directions.
CoRR, 2024

Retrieved Sequence Augmentation for Protein Representation Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MAGE: Machine-generated Text Detection in the Wild.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Collaborative Evaluation: Exploring the Synergy of Large Language Models and Humans for Open-ended Generation Evaluation.
CoRR, 2023

Deepfake Text Detection in the Wild.
CoRR, 2023

Retrieved Sequence Augmentation for Protein Representation Learning.
CoRR, 2023

Explanation Regeneration via Information Bottleneck.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Event Transition Planning for Open-ended Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Knowledge Bridging for Empathetic Dialogue Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Abstractive Opinion Tagging.
Proceedings of the WSDM '21, 2021

2020
Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling.
CoRR, 2020

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation.
CoRR, 2019


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