Emad Barsoum
Emad Barsoum has 2 papers in our library, in 2025–2026; often with Zicheng Liu, Jialian Wu, Jiang Liu.
OpenAlex · ORCID · Wikidata · h-index 8 · 108 works · 2,286 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 110 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6318
Affiliations
🏢Advanced Micro DevicesSunnyvale ·
United States2024–2026 · 35 papers🎓Indian Institute of Technology KharagpurKharagpur ·
India2026 · 3 papers🎓Rutgers, The State University of New JerseyNew Brunswick ·
United States2026 · 1 paper🎓The University of Texas at AustinAustin ·
United States2026 · 1 paper🏢MicrosoftRedmond ·
United States2016–2018 · 4 papers🎓Columbia UniversityNew York ·
United States2018–2020 · 2 papers
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksDecision Sciences · 1 workInformation Systems and Management · 1 work
Works by year
2020s
Papers
- Agent Laboratory: Using LLM Agents as Research Assistants (2025 · 139 citations)
Researchers can pursue only a fraction of their ideas because implementing experiments and writing them up take a lot of time and money. - AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection (2026)
Evolutionary coding agents such as OpenEvolve call LLMs many times during search. They usually pick models through fixed weights or schedules, so expensive models get used even for easy refinement steps. AdaptEvolve replaces this with routing guided by uncertainty. A small model (Qwen3-4B) first proposes each…
All works
- Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
- AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model SelectionFindings of the Association for Computational LinguisticsPretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, et al.2026
- MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHui Wu et al.2026
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cited by
Updated
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