Wenxuan Wang

MedEinst: Benchmarking the Einstellung Effect in Medical LLMs through Counterfactual Differential Diagnosis ACL 2026 A Survey of Deep Learning for Geometry Problem Solving ACL 2026 Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards ACL 2026 JARVIS or Ultron? A Survey on the Safety and Security Threats of Computer-Using Agents ACL 2026 POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering ACL 2026 Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models ACL 2026 Exploring Attention Attractors in Large Language Models ACL 2026 Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model AAAI 2026 Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interaction AAAI 2026 ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing AAAI 2026 NYA’s Offline Speech Translation System for IWSLT 2025 ACL 2025 Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training ACL 2025 EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model ACL 2025 Can’t See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs ACL 2025 Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs ACL 2025 Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models ACL 2025 QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language ACL 2025 A Survey of LLM-based Agents in Medicine: How far are we from Baymax? ACL 2025 Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing ACL 2025 IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems ACL 2025 SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks CVPR 2025 Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation CVPR 2025 VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models EMNLP 2025 ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations EMNLP 2025 VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models EMNLP 2025 AI Sees Your Location—But With A Bias Toward The Wealthy World EMNLP 2025 Learning to Ask: When LLM Agents Meet Unclear Instruction EMNLP 2025 Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases EMNLP 2025 EVEv2: Improved Baselines for Encoder-Free Vision-Language Models ICCV 2025 ODE-based Smoothing Neural Network for Reinforcement Learning Tasks ICLR 2025 Competing Large Language Models in Multi-Agent Gaming Environments ICLR 2025 Diffusion Feedback Helps CLIP See Better ICLR 2025 On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents ICML 2025 LipsNet++: Unifying Filter and Controller into a Policy Network ICML 2025 Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation WACV 2024 FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024 Does ChatGPT Know That It Does Not Know? Evaluating the Black-Box Calibration of ChatGPT COLING 2024 Diffusion Actor-Critic with Entropy Regulator NIPS 2024 All Languages Matter: On the Multilingual Safety of LLMs ACL 2024 On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs ICLR 2024 GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher ICLR 2024 Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions ACL 2024 Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models ACL 2024 Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans NIPS 2024 Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation CVPR 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation MIDL 2024 LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models EMNLP 2024 On the Reliability of Psychological Scales on Large Language Models EMNLP 2024 ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback EMNLP 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023 Language-Routing Mixture of Experts for Multilingual and Code-Switching Speech Recognition INTERSPEECH 2023 Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation ECCV 2022 Tencent’s Multilingual Machine Translation System for WMT22 Large-Scale African Languages EMNLP 2022 Improving Adversarial Transferability via Neuron Attribution-Based Attacks CVPR 2022 Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation ACL 2022 DST: Dynamic Substitute Training for Data-Free Black-Box Attack CVPR 2022 Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition IJCAI 2021 Delving into Data: Effectively Substitute Training for Black-box Attack CVPR 2021 Rethinking the Value of Transformer Components COLING 2020 FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification CVPR 2020 FPETS: Fully Parallel End-to-End Text-to-Speech System AAAI 2020 Pose-Normalized Image Generation for Person Re-identification ECCV 2018