Ruoxi Sun
Ruoxi Sun has 2 papers in our library, in 2024–2025, most of them on Information retrieval & search, Language models & pretraining, Evaluation & benchmarks; often with Fei Wang, Hongjin Su, Howard Yen.
OpenAlex · ORCID · Wikidata · h-index 15 · 64 works · 970 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 170 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6364
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 2 worksLanguage models & pretraining · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Inverted index · 1 work
Works by year
2020s
Papers
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval (2024 · 77 citations)
Standard retrieval benchmarks such as BEIR and MTEB mostly test search-engine-style questions. In these, relevant documents share many words or meanings with the query. Many real needs are harder. A programmer may need documentation for a function that is never named in the question, or a student may need a problem… - Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models (2025 · 59 citations)
Retrieval-augmented generation often receives passages that are irrelevant, misleading or even adversarial.
All works
- Chain of Agents: Large Language Models Collaborating on Long-Context Tasks ↗arXiv:2406.02818 · no summary yetYusen Zhang et al.2024 · 104 citations
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 77 citations
- Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wang, Xingchen Wan, Ruoxi Sun, et al.2025 · 59 citations
Co-authors here
- Fei Wang
- Hongjin Su
- Howard Yen
- Jiefeng Chen
- Jinsung Yoon
- Mengzhou Xia
- Michael Tang
- Niklas Muennighoff
- Quan Shi
- Weijia Shi
- Xingchen Wan
Venues
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/ruoxi-sun/