Zhen Huang

Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs’ Hallucinations ACL 2026 MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text AAAI 2026 Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference AAAI 2026 Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs AAAI 2026 WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety AAAI 2026 Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality ACL 2026 CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026 DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026 SciPedia: Unlocking the Value of Scientific Data for Pre-training ACL 2026 MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection ACL 2025 U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV MICCAI 2025 SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training MICCAI 2025 Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025 PATE: Enhancing Few-Shot Pathological Image Classification via Prompt-Based Text-Image Embedding Adaptation MICCAI 2025 Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction COLING 2025 Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 Interpreting Object-level Foundation Models via Visual Precision Search CVPR 2025 GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection EMNLP 2025 Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025 Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025 AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models ACL 2025 LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis ACL 2025 MECoT: Markov Emotional Chain-of-Thought for Personality-Consistent Role-Playing ACL 2025 OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI NIPS 2024 Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024 POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation ACL 2024 KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion COLING 2024 A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024 Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024 Quasi-Monte Carlo Features for Kernel Approximation ICML 2024 Enhancing CTC-based speech recognition with diverse modeling units INTERSPEECH 2024 Conformer-Based Speech Recognition On Extreme Edge-Computing Devices NAACL 2024 Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning EMNLP 2023 Teaching What You Should Teach: A Data-Based Distillation Method IJCAI 2023 A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction IJCAI 2023 GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence EMNLP 2023 DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation ACL 2023 GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation ACL 2023 Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification IJCAI 2023 Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence JMLR 2022 Cloth-Changing Person Re-Identification From a Single Image With Gait Prediction and Regularization CVPR 2022 Exploring Fourier Prior for Single Image Rain Removal IJCAI 2022 Social Bot-Aware Graph Neural Network for Early Rumor Detection COLING 2022 Adaptive Threshold Selective Self-Attention for Chinese NER COLING 2022 IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification COLING 2022 R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference EMNLP 2022 AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees EMNLP 2022 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021 3D Local Convolutional Neural Networks for Gait Recognition ICCV 2021 Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition COLING 2020 Using a Penalty-based Loss Re-estimation Method to Improve Implicit Discourse Relation Classification COLING 2020 Argumentation Mining on Essays at Multi Scales COLING 2020 A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning EMNLP 2019 Read + Verify: Machine Reading Comprehension with Unanswerable Questions AAAI 2019 Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification ACL 2019 Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension ACL 2019 A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning IJCNLP 2019 Reinforced Mnemonic Reader for Machine Reading Comprehension IJCAI 2018 Attention-Guided Answer Distillation for Machine Reading Comprehension EMNLP 2018