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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.

4 papers in our library · 2025–2026

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

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. 18 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. 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…
  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. 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.
  4. 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

12 of 17 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 34 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

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