Wei Xia
Wei Xia has 4 papers in our library, in 2025–2026, most of them on Code & programming languages, Language models & pretraining, Evaluation & benchmarks; often with Ruiming Tang, Xinyi Dai, Yasheng Wang.
OpenAlex · ORCID · h-index 10 · 52 works · 383 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 34 times in our library · ⭐ Paper Stars ranking: #7883
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 2 worksArtificial Intelligence · 4 worksInformation Systems · 4 worksLanguage and Linguistics · 2 worksComputer Science Applications · 2 worksSocial Sciences · 1 workEducation · 1 work
🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workCode & programming languages · 2 worksGrammatical error correction & learner language · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- CoIR: A Comprehensive Benchmark for Code Information Retrieval Models (2025 · 29 citations)
Most IR systems and benchmarks target natural-language search. Existing code retrieval benchmarks such as CodeSearchNet, CosQA and XcodeEval cover only a few task types and narrow domains, and they use inconsistent metrics. Many models also appear to be tuned to these leaderboards. The authors present CoIR, a… - 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… - GAPO: Robust Advantage Estimation for Real-World Code LLMs (2026 · 1 citation)
Group-relative RL methods such as GRPO and DAPO are popular for post-training code LLMs because they need no critic. - PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback (2026 · 1 citation)
Automated essay scoring systems usually separate grading from feedback. Neural scorers are hard to interpret, and LLM-generated comments ignore how skilled the writer is. PsyScore connects the two through one latent ability estimate θ drawn from Item Response Theory. A BERT encoder for each trait maps an essay to θ…
Co-authors here
- Ruiming Tang ×2
- Xinyi Dai ×2
- Yasheng Wang ×2
- Chanjin Zheng
- Hande Dong
- Hao Zhang
- Hong Wang
- Jianqing Zhang
- Kounianhua Du
- Kuicai Dong
- Qiang Lin
- Weinan Zhang
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
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