Zuozhu Liu

MT3: A Synergistic Multi-Task RL Framework for Specializing MLLMs in Text Image Machine Translation ACL 2026 Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation AAAI 2026 Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection AAAI 2026 Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering ACL 2026 CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026 MPA: Multimodal Prototype Augmentation for Few-Shot Learning AAAI 2026 HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models ACL 2025 DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models ACL 2025 Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering ACL 2025 Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding ACL 2025 iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation ACL 2025 Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment ACL 2025 BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models ACL 2025 FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering ACL 2025 MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling EMNLP 2025 Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models MICCAI 2025 Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning MICCAI 2025 V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis MICCAI 2025 KPL: Training-Free Medical Knowledge Mining of Vision-Language Models AAAI 2025 M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation ACL 2025 MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering NAACL 2025 DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition EMNLP 2025 Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning EMNLP 2025 LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability EMNLP 2025 MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning EMNLP 2025 TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement NAACL 2025 ReCamMaster: Camera-Controlled Generative Rendering from A Single Video ICCV 2025 FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs ICLR 2025 PAD: Personalized Alignment of LLMs at Decoding-time ICLR 2025 SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints ICLR 2025 Modality-Fair Preference Optimization for Trustworthy MLLM Alignment IJCAI 2025 Identifying and Mitigating Social Bias Knowledge in Language Models NAACL 2025 Learnable Privacy Neurons Localization in Language Models ACL 2024 Robustness-Guided Image Synthesis for Data-Free Quantization AAAI 2024 Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models NAACL 2024 MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst MIDL 2024 DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models EMNLP 2024 BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs EMNLP 2024 Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level EMNLP 2024 MedCoT: Medical Chain of Thought via Hierarchical Expert EMNLP 2024 Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models EMNLP 2024 VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis EMNLP 2024 PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray MICCAI 2024 FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data ICLR 2024 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 Towards Distribution-Agnostic Generalized Category Discovery NIPS 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NIPS 2023 Empirical Study of Zero-Shot NER with ChatGPT EMNLP 2023 How Well Do Text Embedding Models Understand Syntax? EMNLP 2023 Fast Model DeBias with Machine Unlearning NIPS 2023 Model Adaptive Tooth Segmentation MIDL 2023 Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation AAAI 2022 Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework EMNLP 2022 Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning ECCV 2022 Bootstrapped Unsupervised Sentence Representation Learning ACL 2021 Bootstrapped Unsupervised Sentence Representation Learning IJCNLP 2021 Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking ICCV 2021 Biologically Plausible Sequence Learning with Spiking Neural Networks AAAI 2020 Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation EMNLP 2020 An Unsupervised Sentence Embedding Method by Mutual Information Maximization EMNLP 2020