Yue Yu

Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment AAAI 2026 Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching ACL 2026 Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts AAAI 2026 AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following ACL 2026 DPC: Training-Free Text-to-SQL Candidate Selection via Dual-Paradigm Consistency ACL 2026 Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning ACL 2025 TueCL at SemEval-2025 Task 1: Image-Augmented Prompting and Multimodal Reasoning for Enhanced Idiom Understanding ACL 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation UAI 2025 Efficient Evolutionary Search Over Chemical Space with Large Language Models ICLR 2025 4D Visual Pre-training for Robot Learning ICCV 2025 Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models COLING 2025 MagicQuill: An Intelligent Interactive Image Editing System CVPR 2025 Dynamic Typography: Bringing Text to Life via Video Diffusion Prior ICCV 2025 TueCL at SemEval-2025 Task 1: Image-Augmented Prompting and Multimodal Reasoning for Enhanced Idiom Understanding SEMEVAL 2025 Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework EMNLP 2025 Self-Generated Critiques Boost Reward Modeling for Language Models NAACL 2025 Causally Motivated Sycophancy Mitigation for Large Language Models ICLR 2025 Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery ICML 2025 GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025 FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network AAAI 2025 Correcting Large Language Model Behavior via Influence Function AAAI 2025 Centrality-guided Pre-training for Graph ICLR 2025 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization ACL 2025 Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization ECCV 2024 GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning ECCV 2024 SiFT: A Serial Framework with Textual Guidance for Federated Learning MICCAI 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring ICML 2024 Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind ICML 2024 BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024 MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024 EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024 At Which Training Stage Does Code Data Help LLMs Reasoning? ICLR 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024 Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws ICML 2024 Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024 Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection AAAI 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024 Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery NIPS 2024 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs NIPS 2024 ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling ACL 2024 Predicting Text Preference Via Structured Comparative Reasoning ACL 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024 RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL 2024 URG: A Unified Ranking and Generation Method for Ensembling Language Models ACL 2024 Multi-modal Stance Detection: New Datasets and Model ACL 2024 SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC ACL 2024 Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models ACL 2024 ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models ACL 2024 A Lifelong Multilingual Multi-granularity Semantic Alignment Approach via Maximum Co-occurrence Probability COLING 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 TAeKD: Teacher Assistant Enhanced Knowledge Distillation for Closed-Source Multilingual Neural Machine Translation COLING 2024 HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification EACL 2024 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting NIPS 2023 Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023 Domain Agnostic Fourier Neural Operators NIPS 2023 ToolQA: A Dataset for LLM Question Answering with External Tools NIPS 2023 Provable Training for Graph Contrastive Learning NIPS 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias NIPS 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023 Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023 DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction ACL 2023 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023 Practical privacy-preserving Gaussian process regression via secret sharing UAI 2023 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data ICML 2022 Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives EMNLP 2022 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning EMNLP 2022 ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select EMNLP 2022 AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models NAACL 2022 Self-Training with Differentiable Teacher NAACL 2022 Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection ECCV 2022 PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL 2022 Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021 DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NIPS 2020 MCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning EMNLP 2020 SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 Double Quantization for Communication-Efficient Distributed Optimization NIPS 2019 GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Optimal Cooperative Inference AISTATS 2018 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017 Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints IJCAI 2016