19 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Evaluating Agents Across Runtime Contracts: When Mismatch Costs Efficiency or Quality
Victor May, Aaditya Salgarkar, Van Khue Nguyen +3
In CodeAct, language-model agents write Python that calls tools and use execution feedback to choose actions. Persistent runtimes preserve Python variables between actions; statele…
cs.CL2024★ 19 cited
RedPajama: an Open Dataset for Training Large Language Models
Maurice Weber, Daniel Fu, Quentin Anthony +16
Large language models are increasingly becoming a cornerstone technology in artificial intelligence, the sciences, and society as a whole, yet the optimal strategies for dataset co…