Yuqi Zhu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study.
CoRR, June, 2025

Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey.
CoRR, May, 2025

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs.
CoRR, March, 2025

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.
CoRR, March, 2025

LightThinker: Thinking Step-by-Step Compression.
CoRR, February, 2025

Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude.
CoRR, January, 2025

Consistency of Responses and Continuations Generated by Large Language Models on Social Media.
CoRR, January, 2025

Phase field-lattice Boltzmann model for axisymmetric two-phase ferrofluid flows.
Math. Comput. Simul., 2025

KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Benchmarking Long-Context Language Models on Long Code Understanding.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities.
World Wide Web (WWW), September, 2024

Underwater Image Enhancement Based on Multichannel Adaptive Compensation.
IEEE Trans. Instrum. Meas., 2024

Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Showing LLM-Generated Code Selectively Based on Confidence of LLMs.
CoRR, 2024

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment.
CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024

Deep learning for code generation: a survey.
Sci. China Inf. Sci., 2024

Agent Planning with World Knowledge Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Optical Flow Guided Pyramid Network for Video Salient Object Detection.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Thermodynamics-Inspired Multi-Feature Network for Infrared Small Target Detection.
Remote. Sens., October, 2023

Command Filter-Based Adaptive Fuzzy Finite-Time Tracking Control for Uncertain Fractional-Order Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2023

A comparison of misinformation feature effectiveness across issues and time on Chinese social media.
Inf. Process. Manag., 2023

Improving Code Generation by Dynamic Temperature Sampling.
CoRR, 2023

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Generalized Linear Extended State Observer based Trajectory Tracking Control for Continuum Robots with Unmatched Uncertainties.
Proceedings of the 8th International Conference on Automation, 2023

2022
A Novel Disturbance-Rejection Control Framework for Cable-Driven Continuum Robots With Improved State Parameterizations.
IEEE Access, 2022

UHRCS: A High-Throughput Platform for Real-time Cameras-Sampling based on UE4.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
How Does the External Integration and Internal Sharing of Big Data Influence Organizational Innovation? The Roles of Strategic Learning and Market Responsiveness.
IEEE Access, 2021

Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Two-stage Local Spatio-temporal Event Filter based on Adaptive Thresholds.
Proceedings of the International Joint Conference on Neural Networks, 2021

Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
How Digital Business Penetration Influences Farmers' Sense of Economic Gain: The Role of Farmers' Entrepreneurial Orientation and Market Responsiveness.
IEEE Access, 2020

2018
Electronics and Optoelectronics Devices from Low-Dimensional Systems
PhD thesis, 2018

Thickness Tunable Transport Properties in MoTe<sub>2</sub> Field Effect Transistors.
Proceedings of the 76th Device Research Conference, 2018

2012
Bilinear Pairings-Based Threshold Identity Authentication Scheme For Ad Hoc Network.
Intell. Autom. Soft Comput., 2012


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