SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. - Zhenting Qi; Xiaoyu Tan; Chao Qu; Yinghui Xu 001; Yuan Qi 001 (ACL (industry), 2023)

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. - Zhenting Qi; Xiaoyu Tan; Shaojie Shi; Chao Qu; Yinghui Xu 001; Yuan Qi 001 (EMNLP (Industry Track), 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 001; Yuan Qi 001 (EMNLP (Industry Track), 2023)

Provably Invariant Learning without Domain Information. - Xiaoyu Tan; Lin Yong; Shengyu Zhu 001; Chao Qu; Xihe Qiu; Yinghui Xu 001; Peng Cui 001; Yuan Qi 001 (ICML, 2023)

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast. - Lei Chen; Xiaohui Zhong; Feng Zhang; Yuan Cheng; Yinghui Xu 001; Yuan Qi 001; Hao Li 030 (CoRR, 2023)

InfMLLM: A Unified Framework for Visual-Language Tasks. - Qiang Zhou 001; Zhibin Wang 004; Wei Chu; Yinghui Xu 001; Hao Li 030; Yuan Qi 001 (CoRR, 2023)

Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. - Xiaoyu Tan; Bin Li 091; Xihe Qiu; Jingjing Huang; Yinghui Xu 001; Wei Chu (ECAI, 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 001; Yuan Qi 001 (EMNLP (Industry Track), 2024)

Hybrid Directional Graph Neural Network for Molecules. - Junyi An; Chao Qu; Zhipeng Zhou; Fenglei Cao; Yinghui Xu 001; Yuan Qi 001; Furao Shen (ICLR, 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 001; Yuan Qi 001 (KDD, 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 001; Yuan Qi 001 (SIGIR, 2024)

AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications. - Xin Pang; Zhucong Li; Jiaxiang Chen; Yuan Cheng; Yinghui Xu 001; Yuan Qi 001 (CoRR, 2024)

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders. - Rui Xu 026; Dakuan Lu; Xiaoyu Tan; Xintao Wang 001; Siyu Yuan; Jiangjie Chen; Wei Chu; Yinghui Xu 001 (CoRR, 2024)

Struct-X: Enhancing Large Language Models Reasoning with Structured Data. - Xiaoyu Tan; Haoyu Wang 011; Xihe Qiu; Yuan Cheng; Yinghui Xu 001; Wei Chu; Yuan Qi 001 (CoRR, 2024)

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. - Xihe Qiu; Haoyu Wang 011; Xiaoyu Tan; Chao Qu; Yujie Xiong; Yuan Cheng; Yinghui Xu 001; Wei Chu; Yuan Qi 001 (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 001; Yuan Qi 001 (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 001; Yinghui Xu 001; Wei Chu; Yuan Qi 001 (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 001 (CoRR, 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 001; et al. (CoRR, 2024)

A bioactivity foundation model using pairwise meta-learning. - Bin Feng; Zequn Liu; Nan-Lan Huang; Zhiping Xiao 001; Haomiao Zhang; Srbuhi Mirzoyan; Hanwen Xu; Jiaran Hao; Yinghui Xu 001; Ming Zhang 004; Sheng Wang 012 (Nat. Mac. Intell., 2024)

Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. - Rui Xu 026; Mingyu Wang; Xintao Wang 001; Dakuan Lu; Xiaoyu Tan; Wei Chu; Yinghui Xu 001 (EMNLP (Findings), 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 001; Wei Chu (ICASSP, 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 001; Yuan Qi 001 (ICASSP, 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 001; Yuan Qi 001 (ICME, 2025)

HeStIa: Asynchronous Embodied Dynamic Locomotion Learning for Walking Robots through Multimodal Large Language Models. - Xiaoyu Tan; Haoyu Wang 011; Sijia Li; Yinghui Xu 001; Xihe Qiu (IROS, 2025)

Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. - Xiaoyu Tan; Haoyu Wang 011; Xihe Qiu; Leijun Cheng; Yuan Cheng; Wei Chu; Yinghui Xu 001; Yuan Qi 001 (KDD (1), 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 091; Xuemin Wang; Chao Qu; Yinghui Xu 001; Xihe Qiu (MICCAI (5), 2025)

Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. - Xiaoyu Tan; Bin Li 091; Weidi Xu; Chao Qu; Wei Chu; Yinghui Xu 001; Yuan Qi 001; Xihe Qiu (MICCAI (10), 2025)

ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints. - Rui Xu 026; Dakuan Lu; Zicheng Zhao; Xiaoyu Tan; Xintao Wang 001; Siyu Yuan; Jiangjie Chen; Yinghui Xu 001 (NeurIPS, 2025)

Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. - Xiaoyu Tan; Bin Li 091; Xihe Qiu; Chao Qu; Wei Chu; Yinghui Xu 001; Yuan Qi 001 (WWW (Companion Volume), 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 026; Tianchu Yao; Chao Qu; Wei Chu; Yinghui Xu 001; Yuan Qi 001 (CoRR, 2025)

AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. - Xiaoyu Tan; Tianchu Yao; Chao Qu; Bin Li 091; Minghao Yang; Dakuan Lu; Haozhe Wang 009; Xihe Qiu; Wei Chu; Yinghui Xu 001; Yuan Qi 001 (CoRR, 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 001 (CoRR, 2025)

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling. - Zeyu Huang; Tianhao Cheng; Zihan Qiu; Zili Wang; Yinghui Xu 001; Edoardo M. Ponti; Ivan Titov 001 (CoRR, 2025)

Reflective Personalization Optimization: A Post-hoc Rewriting Framework for Black-Box Large Language Models. - Teqi Hao; Xioayu Tan; Shaojie Shi; Yinghui Xu 001; Xihe Qiu (CoRR, 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 001; Yuan Qi 001; Gang Chen (CoRR, 2025)

AURORA: Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. - Xiaoyu Tan; Tianchu Yao; Chao Qu; Bin Li 091; Minghao Yang; Dakuan Lu; Haozhe Wang 002; Yinghui Xu 001; Xihe Qiu (KDD (1), 2026)

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding. - Mingxi Zou; Jiaxiang Chen; Junfan Li; Langzhang Liang; Qifan Wang 001; Yinghui Xu 001; Zenglin Xu (CoRR, 2026)

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits. - Tianhao Cheng; Zeyu Huang; Zihan Qiu; Yu Cheng 001; Edoardo Maria Ponti; Yinghui Xu 001; Ivan Titov 001; Zenglin Xu (CoRR, 2026)

LineageFlow: Flow Matching for High-Fidelity Family-Aware Protein Sequence Generation. - Langzhang Liang; Ming Yang 012; Yi Feng; Junfan Li; Shirui Pan; Yinghui Xu 001; Tianlei Ying; Yizhen Zheng; Zenglin Xu (CoRR, 2026)