Weiwen Liu
Weiwen Liu has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Code & programming languages; often with Weinan Zhang, Kounianhua Du, Ruiming Tang.
OpenAlex · ORCID · Wikidata · h-index 24 · 109 works · 1,841 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 37 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #8120
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 3 worksComputer Science Applications · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksCode & programming languages · 1 work
Works by year
2020s
Papers
- Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger (2025 · 16 citations)
LLMs equipped with tools often call them even when they could answer from internal knowledge. This adds latency and exposes the model to failures from external APIs. The authors, from Huawei Noah's Ark Lab, propose MeCo (Meta-Cognition-oriented trigger), which decides whether a tool or retrieval call is actually… - RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation (2025 · 16 citations)
The paper tackles a weakness of tree-search approaches to LLM code generation. Existing methods such as LATS search directly over code and handle mistakes through reflection, which piles up summaries of past errors in memory but never repairs the flawed reasoning itself. The authors propose RethinkMCTS, which runs… - LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls (2026 · 6 citations)
Synthetic data pipelines for training tool-calling LLMs are usually static. Data are generated once, without regard to what the model already handles or still gets wrong, and noisy labels from cheaper open-source generators stay in the set. LoopTool addresses this by turning data creation and training into one… - ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution (2026 · 1 citation)
The paper addresses two obstacles to deploying web-browsing agents in production. First, general-purpose models lack prior knowledge of the many different site layouts and business rules. Second, agents tend to drift away from the goal as interaction sequences grow longer. The authors, from OPPO Research Institute…
All works
- A Survey of AI Agent Protocols ↗arXiv:2504.16736 · no summary yetYingxuan Yang et al.2025 · 20 citations
- Adaptive Tool Use in Large Language Models with Meta-Cognition TriggerAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjun Li, Dexun Li, Kuicai Dong, et al.2025 · 16 citations
- RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Qingyao Li, Wei Xia, Xinyi Dai, et al.2025 · 16 citations
- LoopTool: Closing the Data–Training Loop for Robust LLM Tool CallsAnnual Meeting of the Association for Computational Linguistics (ACL)Kangning Zhang, Weiwen Liu, Wenxiang Jiao, et al.2026 · 6 citations
- ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Jihong Wang, Jiamu Zhou, Weiming Zhang, et al.2026 · 1 citation
- Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetZheng Wu et al.2026
- A Survey of Large Language Model-Based Search Agents ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYunjia Xi et al.2026
- ACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhiyuan Yao et al.2026
Co-authors here
- Weinan Zhang ×3
- Kounianhua Du ×2
- Ruiming Tang ×2
- Yasheng Wang ×2
- Yong Yu ×2
- Cong Zhang
- Dexun Li
- Hao Zhang
- Jun Wang
- Kuicai Dong
- Teng Wang
- Wei Xia
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×5: ACL 2026 ×2, ACL 2025
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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