From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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.

📚 Shelves 6Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work Information Systems · 1 work

🧭 Topics 3Information retrieval & search · 1 work Language models & pretraining · 1 work Evaluation & benchmarks · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions (2025 · 19 citations)
Retrieval-augmented LLMs are usually tuned on narrow QA sets such as NQ or TriviaQA. As a result, they cope poorly when retrieved passages only partly help, do not help at all, or must be combined across several documents. The authors present RAG-Instruct, a recipe for generating varied RAG training data from any…
Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark Evaluation (2026)
Most LLM benchmarks score a model from one output per prompt, produced either by greedy decoding or by a single random sample.

Co-authors here

6 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 15 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated 2 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/wenyu-chen/

🧑‍🔬 Wenyu Chen

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Wenyu Chen

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by