Peter Belcak
Peter Belcak has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Pavlo Molchanov, Shizhe Diao, Yonggan Fu.
OpenAlex · h-index 3 · 21 works · 40 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 75 times in our library · ⭐ Paper Stars ranking: #8093
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- Small Language Models are the Future of Agentic AI (2025 · 92 citations)
This position paper from NVIDIA Research and Georgia Tech challenges a common industry practice: sending every request an AI agent makes to one large, general-purpose LLM hosted in the cloud. - PROBE: PROcess-Based BEnchmark for Hallucination Detection (2026)
LLM-as-a-judge setups usually ask a model for a single verdict on whether an output stays faithful to its source.
Co-authors here
- Pavlo Molchanov ×2
- Shizhe Diao ×2
- Yonggan Fu ×2
- Bei Yu
- Saurav Muralidharan
- Shaona Ghosh
- Xin Dong
- Yingyan Celine Lin
- Yu Zhang
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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