Wenjie Wang

ADAngel: Accelerating Arbitrary-Precision Quantized LLMs with Adaptive Computing Mapping OSDI 2026 Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification AAAI 2026 Controllable LLM Reasoning via Sparse Autoencoder-Based Steering ACL 2026 MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation ACL 2026 Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning AAAI 2026 OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework AAAI 2026 Parallel Test-Time Scaling for Latent Reasoning Models ACL 2026 ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation ACL 2026 RiskLab: A Controlled Toolkit for Probing Emergent Risks in LLM-Based Multi-Agent Systems ACL 2026 Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training EMNLP 2025 A Federated Framework for LLM-based Recommendation NAACL 2025 Agent Trading Arena: A Study on Numerical Understanding in LLM-Based Agents EMNLP 2025 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation ICLR 2025 Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation ACL 2025 Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs COLING 2025 CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG AAAI 2025 Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025 DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing ACL 2025 Don’t Say No: Jailbreaking LLM by Suppressing Refusal ACL 2025 Efficient Inference for Large Language Model-based Generative Recommendation ICLR 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models ICML 2025 HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning ACL 2025 Length Controlled Generation for Black-box LLMs ACL 2025 Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization ACL 2025 Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations EMNLP 2025 MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models AAAI 2025 Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025 Personalized Generation In Large Model Era: A Survey ACL 2025 Personalized Text Generation with Contrastive Activation Steering ACL 2025 Pre-trained Behavioral Model for Malicious User Prediction on Social Platform AAAI 2025 Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment ACL 2025 SEMINAR: SEMantic InformatioN Augmented JailbReak Attack in LLM ACML 2025 SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation CVPR 2025 STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training CVPR 2025 TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models ICLR 2025 TokenSkip: Controllable Chain-of-Thought Compression in LLMs EMNLP 2025 Tunable LLM-based Proactive Recommendation Agent ACL 2025 A Study of Implicit Ranking Unfairness in Large Language Models EMNLP 2024 BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection CVPR 2024 Cross-modality Information Check for Detecting Jailbreaking in Multimodal Large Language Models EMNLP 2024 Discriminative Probing and Tuning for Text-to-Image Generation CVPR 2024 Distillation Enhanced Generative Retrieval ACL 2024 Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction ACL 2024 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NeurIPS 2024 Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond ACL 2024 GOODAT: Towards Test-Time Graph Out-of-Distribution Detection AAAI 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity AAAI 2024 LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models NAACL 2024 Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024 Text-like Encoding of Collaborative Information in Large Language Models for Recommendation ACL 2024 Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection EMNLP 2024 Attack Prompt Generation for Red Teaming and Defending Large Language Models EMNLP 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context ACL 2023 Robust Prompt Optimization for Large Language Models Against Distribution Shifts EMNLP 2023 Certified Robustness to Word Substitution Attack with Differential Privacy NAACL 2021 FREE: Feature Refinement for Generalized Zero-Shot Learning ICCV 2021 Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval IJCAI 2021 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020