Qifan Wang

Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation AAAI 2026 On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning ACL 2026 PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning AAAI 2026 TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards ACL 2026 100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? ACL 2025 Advantage-Guided Distillation for Preference Alignment in Small Language Models ICLR 2025 Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge EMNLP 2025 CompCap: Improving Multimodal Large Language Models with Composite Captions ICCV 2025 CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG AAAI 2025 Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025 Error-driven Data-efficient Large Multimodal Model Tuning ACL 2025 Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics ICCV 2025 FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making EMNLP 2025 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training ICLR 2025 Inference Compute-Optimal Video Vision Language Models ACL 2025 Item-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning IJCNLP 2025 K-order Ranking Preference Optimization for Large Language Models ACL 2025 MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025 Modality-Specialized Synergizers for Interleaved Vision-Language Generalists ICLR 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond AISTATS 2025 ReAlign: Structured Revision for Small Language Model Alignment EMNLP 2025 Re-Imagining Multimodal Instruction Tuning: A Representation View ICLR 2025 Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025 Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories EMNLP 2025 TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025 Visual Agents as Fast and Slow Thinkers ICLR 2025 When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025 AMD: Automatic Multi-step Distillation of Large-scale Vision Models ECCV 2024 Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes EACL 2024 A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract) IJCAI 2024 C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ICLR 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization NeurIPS 2024 Image Translation as Diffusion Visual Programmers ICLR 2024 InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024 Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model CVPR 2024 LLM-Rec: Personalized Recommendation via Prompting Large Language Models NAACL 2024 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024 M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024 MART: Improving LLM Safety with Multi-round Automatic Red-Teaming NAACL 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024 Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024 Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024 Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models ACL 2024 ProMotion: Prototypes As Motion Learners CVPR 2024 Prototypical Transformer As Unified Motion Learners ICML 2024 Representation Deficiency in Masked Language Modeling ICLR 2024 RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024 Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024 UAV First-Person Viewers Are Radiance Field Learners ECCV 2024 Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms NeurIPS 2024 Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning ACL 2024 Visual Fourier Prompt Tuning NeurIPS 2024 AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression ACL 2023 APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models EMNLP 2023 Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023 Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023 ClusterFomer: Clustering As A Universal Visual Learner NeurIPS 2023 Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023 COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation EMNLP 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023 Disentangled Phonetic Representation for Chinese Spelling Correction ACL 2023 Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems EMNLP 2023 E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning ICCV 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 Fusion or Defusion? Flexible Vision-and-Language Pre-Training ACL 2023 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023 Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023 Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023 Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling EMNLP 2023 Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection AAAI 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning IJCAI 2023 PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection EMNLP 2023 RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023 Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? NeurIPS 2023 Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023 RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023 The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models EMNLP 2023 TransFlow: Transformer As Flow Learner CVPR 2023 Unified 3D Segmenter As Prototypical Classifiers NeurIPS 2023 AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning NeurIPS 2022 Autoregressive Entity Generation for End-to-End Task-Oriented Dialog COLING 2022 CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations COLING 2022 Federated Model Decomposition with Private Vocabulary for Text Classification EMNLP 2022 GL-RG: Global-Local Representation Granularity for Video Captioning IJCAI 2022 Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation EMNLP 2022 SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022 Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian ECCV 2022 VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022 XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022 Big Bird: Transformers for Longer Sequences NeurIPS 2020 ETC: Encoding Long and Structured Inputs in Transformers EMNLP 2020 Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017 Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model IJCAI 2015 Learning to Hash on Partial Multi-Modal Data IJCAI 2015 Ranking Preserving Hashing for Fast Similarity Search IJCAI 2015