Xianfeng Tang

Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models AAAI 2026 Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents ACL 2026 When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs CVPR 2026 A General Framework to Enhance Fine-tuning-based LLM Unlearning ACL 2025 A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration AISTATS 2025 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 Catastrophic Failure of LLM Unlearning via Quantization ICLR 2025 Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? ACL 2025 DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning EMNLP 2025 IHEval: Evaluating Language Models on Following the Instruction Hierarchy NAACL 2025 Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs EMNLP 2025 Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data NAACL 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025 Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning ACL 2025 SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains NAACL 2025 Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models ACL 2025 SUA: Stealthy Multimodal Large Language Model Unlearning Attack EMNLP 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 ViLBench: A Suite for Vision-Language Process Reward Modeling EMNLP 2025 BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering EMNLP 2024 Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs ACL 2024 Language Models as Semantic Indexers ICML 2024 Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024 Sequential LLM Framework for Fashion Recommendation EMNLP 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NeurIPS 2024 Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond ICLR 2024 Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NeurIPS 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 Task-Agnostic Graph Explanations NeurIPS 2022 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 MEGAN: A Generative Adversarial Network for Multi-View Network Embedding IJCAI 2019 Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction AAAI 2019