conftrace_

Huazheng Wang

33 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (5)
🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (59) πŸ† Grand Slam πŸ‘‘ Triple Crown ❓ The Questioner (3) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (30) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (123) ⚑ Prolific Year (12)

Conferences

EMNLP (7) AAAI (6) ICML (5) ACL (4) NIPS (4) ICLR (3) NAACL (2) IJCNLP (1) UAI (1)

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: Multi‐Modal Document Understanding with Dual‐Cue 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