34 citations · 65 across the 10 of their papers we have counts for
5 papers · 1 filter
Agents as Software: A Programming Languages Agenda for Agent Reliability
Shraddha Barke, Adithya Murali
AI agents increasingly resemble software systems: they call tools, remember facts, follow policies, delegate work, and take actions with real consequences. % Yet the ``program'' of…
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla +2
Many structured prediction and reasoning tasks can be framed as program synthesis problems, where the goal is to generate a program in a domain-specific language (DSL) that transfo…
Solving Data-centric Tasks using Large Language Models
Shraddha Barke, Christian Poelitz, Carina Suzana Negreanu +10
Large language models (LLMs) are rapidly replacing help forums like StackOverflow, and are especially helpful for non-professional programmers and end users. These users are often…
Just-in-Time Learning for Bottom-Up Enumerative Synthesis
Shraddha Barke, Hila Peleg, Nadia Polikarpova
A key challenge in program synthesis is the astronomical size of the search space the synthesizer has to explore. In response to this challenge, recent work proposed to guide synth…
Targeted Synthesis for Programming with Data Invariants
John Sarracino, Shraddha Barke, Hila Peleg +2
Programmers frequently maintain implicit data invariants, which are relations between different data structures in a program. Traditionally, such invariants are manually enforced a…