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Yuxi Xie

Orcid: 0009-0009-0843-6507

According to our database¹, Yuxi Xie authored at least 42 papers between 2016 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

Epistemic Context Learning: Building Trust the Right Way in LLM-Based Multi-Agent Systems.

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CoRR, January, 2026

Development of a predictive model for Ki-67 index of meningiomas by integrating deep-learning, radiomics and clinical features utilizing fully automated segmentation results.

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Comput. Methods Programs Biomed., 2026

2025

Revisit of Two-dimensional CEM on Crack Branching: from Single Crack-tip Tracking to Multiple Crack-tips Tracking.

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CoRR, September, 2025

A GPU-Accelerated Three-Dimensional Crack Element Method for Transient Dynamic Fracture Simulation.

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CoRR, August, 2025

A Practical Finite Element Approach for Simulating Dynamic Crack Growth in Cu/Ultra Low-k Interconnect Structures.

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CoRR, August, 2025

LEDOM: An Open and Fundamental Reverse Language Model.

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William Yang Wang

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CoRR, July, 2025

Measuring the Intelligence of Virtual Anchors in E-Commerce: Scale Development and Validation from a Human-Computer Interaction Perspective.

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J. Theor. Appl. Electron. Commer. Res., 2025

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.

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Antonis Antoniades

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William Yang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron.

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Kenji Kawaguchi

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MIND-RAG: Multimodal Context-Aware and Intent-Aware Retrieval-Augmented Generation for Educational Publications.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.

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William Yang Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset.

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J. Intell. Manuf., February, 2024

AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge.

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William Yang Wang

CoRR, 2024

Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models.

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CoRR, 2024

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement.

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William Yang Wang

CoRR, 2024

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

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Timothy P. Lillicrap

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Kenji Kawaguchi

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CoRR, 2024

Exploring Consumer Citizenship Behavior by Personification of E-Commerce Virtual Anchors Based on Shopping Value.

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IEEE Access, 2024

V-DPO: Mitigating Hallucination in Large Vision Language Models via Vision-Guided Direct Preference Optimization.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models.

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MVP-Bench: Can Large Vision-Language Models Conduct Multi-level Visual Perception Like Humans?

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Prompt Optimization via Adversarial In-Context Learning.

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Kenji Kawaguchi

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

InstructCoder: Instruction Tuning Large Language Models for Code Editing.

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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2024

2023

Prompt Optimization via Adversarial In-Context Learning.

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Kenji Kawaguchi

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Michael Qizhe Xie

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CoRR, 2023

InstructCoder: Empowering Language Models for Code Editing.

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CoRR, 2023

ECHo: Event Causality Inference via Human-centric Reasoning.

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CoRR, 2023

Automatic Model Selection with Large Language Models for Reasoning.

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Kenji Kawaguchi

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CoRR, 2023

Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding.

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Kenji Kawaguchi

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CoRR, 2023

Self-Evaluation Guided Beam Search for Reasoning.

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Kenji Kawaguchi

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Michael Qizhe Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Automatic Model Selection with Large Language Models for Reasoning.

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Kenji Kawaguchi

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Michael Qizhe Xie

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Gaussian Distribution Based Oversampling for Imbalanced Data Classification.

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IEEE Trans. Knowl. Data Eng., 2022

An adhesive Gurtin-Murdoch surface hydrodynamics theory of moving contact line and modeling of droplet wettability on soft substrates.

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J. Comput. Phys., 2022

2021

CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design.

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Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Gradient descent evolved imbalanced data gravitation classification with an application on Internet video traffic identification.

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Inf. Sci., 2020

Exploring Question-Specific Rewards for Generating Deep Questions.

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Proceedings of the 28th International Conference on Computational Linguistics, 2020

Semantic Graphs for Generating Deep Questions.

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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Generative learning for imbalanced data using the Gaussian mixed model.

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Appl. Soft Comput., 2019

A Sketch-Based System for Semantic Parsing.

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Proceedings of the Natural Language Processing and Chinese Computing, 2019

Imbalanced Data Gravitation Classification Model Using For Internet Video Traffic Identification.

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Proceedings of the 5th IEEE International Conference on Big Data Security on Cloud, 2019

2018

Accurate Identification of Internet Video Traffic Using Byte Code Distribution Features.

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Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2016

Study on medical image enhancement based on IFOA improved grayscale image adaptive enhancement.

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Multim. Tools Appl., 2016

Study on FOA_BP remote sepsis diagnosis based on wireless sensor network.

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J. Intell. Fuzzy Syst., 2016

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