Yufei Li

Orcid: 0000-0002-2223-0208

Affiliations:
  • University of California, Riverside, CA, USA


According to our database1, Yufei Li authored at least 16 papers between 2021 and 2025.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting.
CoRR, March, 2025

2024
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study.
CoRR, 2024

Distantly-Supervised Joint Extraction with Noise-Robust Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning.
CoRR, 2023

R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics.
CoRR, 2023

MIMONet: Multi-Input Multi-Output On-Device Deep Learning.
CoRR, 2023

RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

$\mathrm{R}^{3}$: On-Device Real-Time Deep Reinforcement Learning for Autonomous Robotics.
Proceedings of the IEEE Real-Time Systems Symposium, 2023

PIMbot: Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas.
IROS, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

White-Box Multi-Objective Adversarial Attack on Dialogue Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
SHARE: a System for Hierarchical Assistive Recipe Editing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Estimating Predictive Uncertainty Under Program Data Distribution Shift.
CoRR, 2021

GLIB: towards automated test oracle for graphically-rich applications.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021


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