Huazheng Wang
33 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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(59)
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(3)
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(30)
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Keyword Collector
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Conferences
EMNLP (7)
AAAI (6)
ICML (5)
ACL (4)
NIPS (4)
ICLR (3)
NAACL (2)
IJCNLP (1)
UAI (1)
Top co-authors
Keywords
large language model
(6)
multi-armed bandit
(5)
adversarial attack
(4)
regret bound
(3)
representation learning
(3)
language model
(2)
adversarial learning
(2)
retrieval-augmented generation
(2)
online learning
(2)
bayesian regret
(2)
domain adaptation
(2)
direct preference optimization
(2)
human feedback
(2)
tree search
(2)
reinforcement learning from human feedback
(2)
bayesian optimization
(2)
machine reading comprehension
(2)
off-policy learning
(2)
adversarial domain adaptation
(2)
thompson sampling
(2)
Papers
Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation
AAAI 2026
Example Quality Matters: Multi-Aspects Example Augmentation for Private Library Programming
ACL 2026
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
ACL 2026
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
EMNLP 2025
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
AAAI 2025
Efficient and Robust Reinforcement Learning from Human Feedback
AAAI 2025
The Threat of PROMPTS in Large Language Models: A System and User Prompt Perspective
ACL 2025
Unveiling Internal Reasoning Modes in LLMs: A Deep Dive into Latent Reasoning vs. Factual Shortcuts with Attribute Rate Ratio
EMNLP 2025
The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
EMNLP 2025
SimpleDoc: MultiβModal Document Understanding with DualβCue Page Retrieval and Iterative Refinement
EMNLP 2025
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
EMNLP 2025
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
ICLR 2025
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
ICML 2025
Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems
ICML 2025
Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects?
NAACL 2025
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
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization
AAAI 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
AAAI 2024
Adversarial Attacks on Combinatorial Multi-Armed Bandits
ICML 2024
SSS: Editing Factual Knowledge in Language Models towards Semantic Sparse Space
ACL 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
NIPS 2024
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NIPS 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
ICML 2023
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
ICLR 2023
When Are Linear Stochastic Bandits Attackable?
ICML 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
NIPS 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NIPS 2022
Incentivized Exploration for Multi-Armed Bandits under Reward Drift
AAAI 2020
Adversarial Domain Adaptation for Machine Reading Comprehension
EMNLP 2019
Adversarial Domain Adaptation for Machine Reading Comprehension
IJCNLP 2019
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
EMNLP 2016