Wei Wen
Wei Wen has 2 papers in our library, in 2016–2026, most of them on Evaluation & benchmarks; often with Hai Li, Ke Wang, Ruizhi Qiao.
OpenAlex · ORCID · Wikidata · h-index 32 · 152 works · 3,346 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 129 times in our library · ⭐ Paper Stars ranking: #4111
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 workArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work
🧭 Topics 1Research subjects and languages the work is about.Evaluation & benchmarks · 1 work
Works by year
2020s
2010s
Papers
- Learning Structured Sparsity in Deep Neural Networks (2016 · 530 citations)
Sparsifying a deep network weight by weight shrinks its parameter count, but the zeros end up scattered across memory. - Breaking the Evaluation Paradox: Evaluating High-Entropy Search with Computationally Irreducible Constraints (2026 · 1 citation)
Benchmarks for search agents that must enumerate large, open-ended answer sets face a paradox. Judging completeness needs a full ground truth, but humans cannot reliably build one for such high-entropy queries. As a result, agents that find valid items missing from the annotated pool get marked as hallucinating.
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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