70 citations · 407 across the 70 of their papers we have counts for
79 papers
Whose turn is it? Context-guided model routing for stateful agents
Anikesh Parashar, Avik Dutta, Vashu Chauhan +6
Model routing can reduce the cost of LLM applications by assigning simpler requests to cheaper models without sacrificing the quality of the response. However, most routers treat r…
On Device Agentic Operation Caches -- Classifier-Centric NL-to-Action Generation
Moghis Fereidouni, Anthony Arnold, Sumit Gulwani +2
Agentic AI is increasingly being embedded in software applications to provide natural language interfaces to features and functionality. In most cases these agents are powered by e…
Dude, Where's My State? Execution Information Requirements for Stateful Agents
Nikita Mehrotra, Ashish Tiwari, Priyanshu Gupta +1
Long-running agents must preserve information that later steps depend on. We introduce the Execution Information Requirement (EIR), a lower bound on the information that must remai…
Coding Agents are Strong Prompt Optimizers
Agamdeep Singh, Srishti Gautam, Priyanshu Gupta +3
Search-based prompt optimizers improve prompts through iterative search: they propose edits, execute fresh rollouts, score the resulting trajectories, and retain only edits that im…
Reason Wide, Not Deep: Amortizing the Reasoning Premium into Distilled Skills
Agamdeep Singh, Srishti Gautam, Priyanshu Gupta +3
Reasoning modes of language models outperform their non-reasoning counterparts on multi-step agentic tasks, but pay a 3-6x premium in output tokens on every episode -- much of it s…
Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents
Aayush Kumar, Avik Dutta, Sumit Gulwani +3
Plan Modes have become standard features in agentic programming tools, allowing users to gain transparency and control by working with the agent to develop a plan before task execu…