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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.

4 papers in our library · 2025–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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…
  3. 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…
  4. 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

8 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. A Survey of AI Agent Protocols ↗arXiv:2504.16736 · no summary yetYingxuan Yang et al.2025 · 20 citations
  2. 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
  3. 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
  4. 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

12 of 18 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 37 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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