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Weixun Wang

21 papers · 2020–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9)
πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (12) πŸ† Grand Slam 🧬 Topic Evolution πŸ”₯ Unstoppable (6) ⚑ Prolific Year (7) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (88) πŸ’Ž Century Club (18)

Conferences

ACL (5) AAAI (4) IJCAI (3) NIPS (3) ICLR (2) EMNLP (1) ICML (1) JMLR (1) NAACL (1)

Papers

USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS ACL 2026 ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants ACL 2026 Think-J: Learning to Think for Generative LLM-as-a-Judge AAAI 2026 2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision NAACL 2025 ProgCo: Program Helps Self-Correction of Large Language Models ACL 2025 Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models ACL 2025 Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? ACL 2025 OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework EMNLP 2025 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024 MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library JMLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing NIPS 2022 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NIPS 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020