Yinghui Xu

According to our database, Yinghui Xu authored at least 40 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation.

Langzhang Liang, Ming Yang, Yi Feng, Junfan Li, Shirui Pan, Yinghui Xu, Tianlei Ying, Yizhen Zheng, Zenglin Xu

CoRR, May, 2026

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits.

Tianhao Cheng, Zeyu Huang, Zihan Qiu, Yu Cheng, Edoardo Maria Ponti, Yinghui Xu, Ivan Titov, Zenglin Xu

CoRR, May, 2026

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding.

Mingxi Zou, Jiaxiang Chen, Junfan Li, Langzhang Liang, Qifan Wang, Yinghui Xu, Zenglin Xu

CoRR, March, 2026

AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification.

Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Yinghui Xu, Xihe Qiu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

CTkvr: KV Cache Retrieval for Long-Context LLMs via Centroid then Token Indexing.

Kuan Lu, Shuhang Lin, Sai Wu, Yichen Yao, Junhan Yang, Huan Li, Wei Chu, Yinghui Xu, Yuan Qi, Gang Chen

CoRR, December, 2025

Reflective Personalization Optimization: A Post-hoc Rewriting Framework for Black-Box Large Language Models.

Teqi Hao, Xioayu Tan, Shaojie Shi, Yinghui Xu, Xihe Qiu

CoRR, November, 2025

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling.

Zeyu Huang, Tianhao Cheng, Zihan Qiu, Zili Wang, Yinghui Xu, Edoardo M. Ponti, Ivan Titov

CoRR, July, 2025

SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection.

Jiale Zhang, Jiaxiang Chen, Zhucong Li, Jie Ding, Kui Zhao, Zenglin Xu, Xin Pang, Yinghui Xu

CoRR, June, 2025

AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification.

Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Xihe Qiu, Wei Chu, Yinghui Xu, Yuan Qi

CoRR, February, 2025

SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain.

Dakuan Lu, Xiaoyu Tan, Rui Xu, Tianchu Yao, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi

CoRR, January, 2025

Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement.

Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints.

Rui Xu, Dakuan Lu, Zicheng Zhao, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Yinghui Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support.

Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models.

Teqi Hao, Xiaoyu Tan, Bin Li, Xuemin Wang, Chao Qu, Yinghui Xu, Xihe Qiu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios.

Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

HeStIa: Asynchronous Embodied Dynamic Locomotion Learning for Walking Robots through Multimodal Large Language Models.

Xiaoyu Tan, Haoyu Wang, Sijia Li, Yinghui Xu, Xihe Qiu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Leave the Bias in Bias: Mitigating the Label Noise Effects in Continual Visual Instruction Fine-Tuning.

Xiaoyu Tan, Teqi Hao, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis.

Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents.

Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

A bioactivity foundation model using pairwise meta-learning.

Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, J. H. Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu

CoRR, 2024

LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Wei Chu, Yinghui Xu

CoRR, 2024

Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory.

Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though.

Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi

CoRR, 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.

Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

Struct-X: Enhancing Large Language Models Reasoning with Structured Data.

Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi

CoRR, 2024

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders.

Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, Yinghui Xu

CoRR, 2024

AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications.

Xin Pang, Zhucong Li, Jiaxiang Chen, Yuan Cheng, Yinghui Xu, Yuan Qi

CoRR, 2024

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity.

Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models.

Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Hybrid Directional Graph Neural Network for Molecules.

Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average.

Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi

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

Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence.

Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

InfMLLM: A Unified Framework for Visual-Language Tasks.

Qiang Zhou, Zhibin Wang, Wei Chu, Yinghui Xu, Hao Li, Yuan Qi

CoRR, 2023

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast.

Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, Hao Li

CoRR, 2023

Provably Invariant Learning without Domain Information.

Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi

Proceedings of the International Conference on Machine Learning, 2023

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.

Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.

Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.

Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023