Huazheng Wang

Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation AAAI 2026 Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models ACL 2026 Example Quality Matters: Multi-Aspects Example Augmentation for Private Library Programming ACL 2026 Fine-VAD: Towards Fine-Grained Video Anomaly Detection via Progressive Cross-Granularity Learning CVPR 2026 A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement ICLR 2025 Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents EMNLP 2025 Efficient and Robust Reinforcement Learning from Human Feedback AAAI 2025 Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects? NAACL 2025 FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025 Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition ICML 2025 SimpleDoc: Multi‐Modal Document Understanding with Dual‐Cue Page Retrieval and Iterative Refinement EMNLP 2025 The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking EMNLP 2025 The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective ACL 2025 TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling EMNLP 2025 Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio EMNLP 2025 Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems ICML 2025 Adversarial Attacks on Combinatorial Multi-Armed Bandits ICML 2024 MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024 PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback ICLR 2024 Pure Exploration in Asynchronous Federated Bandits UAI 2024 RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NeurIPS 2024 SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space ACL 2024 Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024 Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment ICLR 2023 Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023 Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective NeurIPS 2023 Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NeurIPS 2022 Communication Efficient Distributed Learning for Kernelized Contextual Bandits NeurIPS 2022 When Are Linear Stochastic Bandits Attackable? ICML 2022 Incentivized Exploration for Multi-Armed Bandits under Reward Drift AAAI 2020 Adversarial Domain Adaptation for Machine Reading Comprehension EMNLP 2019 Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding EMNLP 2016