← Authors

Wenjie Wang

53 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (85) πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (23) πŸ† Grand Slam ⚑ Prolific Year (15) πŸ’Ž Century Club (50) πŸ—ƒοΈ Keyword Collector (224)

Conferences

ACL (17) AAAI (10) EMNLP (10) CVPR (4) ICLR (3) NAACL (3) ICML (2) COLING (1) ICCV (1) IJCAI (1) NIPS (1)

Top co-authors

Tat-Seng Chua (23) Fuli Feng (20) Moxin Li (7) Yongqi Li (7) Liqiang Nie (5) Xiangnan He (5) Qifan Wang (4) Leigang Qu (4) Yang Zhang (4) Jian Lou (4)

Research topics

Privacy (1)

Keywords

large language model (20) direct preference optimization (4) recommendation system (3) safety alignment (3) domain generalization (3) jailbreak attack (3) multimodal learning (3) benchmark evaluation (3) text classification (3) knowledge distillation (3) vision-language model (2) out-of-distribution detection (2) counterfactual reasoning (2) electronic health record (2) text-to-image generation (2) question answering (2) federated learning (2) collaborative filtering (2) in-context learning (2) generative model (2)

Papers

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