Weiqin Wang
Weiqin Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Hui Huang, Yile Wang, Sijie Cheng.
OpenAlex · h-index 2 · 9 works · 12 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10776
Affiliations
🎓Shenzhen UniversityShenzhen ·
China2025–2026 · 4 papers🎓Hunan Agricultural UniversityChangsha ·
China2025–2026 · 3 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning (2026 · 4 citations)
Test-time reinforcement learning (TTRL) trains LLMs on reasoning tasks without gold answers. It samples many responses and treats the majority-voted answer as a pseudo-label. This has two weaknesses. Every vote counts equally, so a popular but wrong answer gets reinforced (confirmation bias), and the binary match… - AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models (2026)
LLM memory systems such as A-Mem and Mem0 repeatedly summarize and rewrite past interactions. This can wash out fine details. Entity-graph indexing, as in HippoRAG 2, can instead link unrelated memories through common, generic entities. AnchorMem addresses both problems by separating what is used for retrieval from…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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