Qiguang Chen

Orcid: 0000-0002-9154-7858

According to our database1, Qiguang Chen authored at least 63 papers between 2021 and 2025.

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Bibliography

2025
MPFToD: a modularized pre-training framework for consistency identification in task-oriented dialogue.
Frontiers Comput. Sci., October, 2025

Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Extreme Reasoning Efficiency in Large Language Models.
CoRR, August, 2025

MPCC: A Novel Benchmark for Multimodal Planning with Complex Constraints in Multimodal Large Language Models.
CoRR, July, 2025

ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models.
CoRR, July, 2025

AI4Research: A Survey of Artificial Intelligence for Scientific Research.
CoRR, July, 2025

Volumetric Parameterization for 3-Dimensional Simply-Connected Manifolds.
CoRR, June, 2025

Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation.
CoRR, June, 2025

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.
CoRR, May, 2025

Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought.
CoRR, May, 2025

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.
CoRR, May, 2025

Efficient Process Reward Model Training via Active Learning.
CoRR, April, 2025

DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective.
CoRR, March, 2025

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.
CoRR, March, 2025

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Safety Analysis.
CoRR, February, 2025

ECM: A Unified Electronic Circuit Model for Explaining the Emergence of In-Context Learning and Chain-of-Thought in Large Language Model.
CoRR, February, 2025

DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization.
Trans. Mach. Learn. Res., 2025

A survey of multilingual large language models.
Patterns, 2025

Deformation-invariant neural network and its applications in distorted image restoration and analysis.
Neural Networks, 2025

CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

MLDebugging: Towards Benchmarking Code Debugging Across Multi-Library Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging.
SIAM J. Imaging Sci., March, 2024

KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing.
CoRR, 2024

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought.
CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.
CoRR, 2024

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices.
CoRR, 2024

An Optimal Task Planning and Agent-aware Allocation Algorithm in Collaborative Tasks Combining with PDDL and POPF.
CoRR, 2024

M<sup>3</sup>CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.
CoRR, 2024

Large Language Models Meet NLP: A Survey.
CoRR, 2024

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.
CoRR, 2024

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LabCLIP: Label-Enhanced Clip for Improving Zero-Shot Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

M³CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Automatic landmark detection and registration of brain cortical surfaces via quasi-conformal geometry and convolutional neural networks.
Comput. Biol. Medicine, September, 2023

Through the Lens of Core Competency: Survey on Evaluation of Large Language Models.
CoRR, 2023

3D Quasiconformal Representation and Solver.
CoRR, 2023

A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding.
CoRR, 2023

HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding.
CoRR, 2023

End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Admittance-Based Non-Singular Terminal Sliding Mode Control of Multiple Cooperative Manipulators.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

CLIPText: A New Paradigm for Zero-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Structure preservation adversarial network for visual domain adaptation.
Inf. Sci., 2021

A Learning Framework for Diffeomorphic Image Registration based on Quasi-conformal Geometry.
CoRR, 2021

Synthesizing ReLU neural networks with two hidden layers as barrier certificates for hybrid systems.
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021

Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Synthesizing Barrier Certificates of Neural Network Controlled Continuous Systems via Approximations.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021


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