Atharv Sonwane — accepted AI-conference papers

2026

Gistify: Codebase-Level Understanding via Runtime Execution

Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White +7

ICLR 2026poster

As coding agents are increasingly deployed in large codebases, the need to automatically design challenging, codebase-level evaluation is central. We propose Gistify, a task where a coding LLM must create a single, minimal, self-contained file that can reproduce a specific functionality of a codebas…

Cited by 0 Source ↗Scholar ↗

2023

Policy-Guided Lazy Search with Feedback for Task and Motion Planning

Mohamed Khodeir, Atharv Sonwane, Ruthrash Hari, Florian Shkurti

ICRA 2023poster

PDDLStream solvers have recently emerged as viable solutions for Task and Motion Planning (TAMP) problems, extending PDDL to problems with continuous action spaces. Prior work has shown how PDDLStream problems can be reduced to a sequence of PDDL planning problems, which can then be solved using off…

Cited by 11 Source ↗Scholar ↗