1 citations · 1 across the 4 of their papers we have counts for
Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Seq@K: Evaluating Language Models Under Sequential Feedback
Thomson Yen, Gilbert Yang, Naimeng Ye +8
Language-model agents differ fundamentally from prior intelligent systems in their ability to learn from natural language in context. This capability enables agents to iteratively…
cs.AI2025
SynthTools: A Framework for Scaling Synthetic Tools for Agent Development
Tommaso Castellani, Naimeng Ye, Daksh Mittal +4
For agentic systems to use external tools to solve complex, long-horizon tasks, we need a large set of diverse and controllable tool-use environments. We introduce SynthTools, a fu…