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Matching papers

SpecFirst: Behavioral Specification Elicitation as a First-Class Step in Agent-Based Program Synthesis from Scratch

18 upvotes · 29 JUL 2026 · Yihao Chen, Shi Chang, Feng Lin et al.

This paper introduces a new framework called SpecFirst that helps AI agents construct software programs from scratch by first eliciting a clear behavioral specification from natural-language documentation and an executable binary. Practitioners might care about this approach because it can improve the efficiency and accuracy of program synthesis.

program synthesisagent-based systemsrequirements engineeringbehavioral specificationnatural language processing

AutoIndex: Learning Representation Programs for Retrieval

9 upvotes · 21 JUL 2026 · Sam O'Nuallain, Nithya Rajkumar, Ramya Narayanasamy et al.

This paper introduces AutoIndex, a framework that learns to transform raw documents into representations for retrieval systems, allowing for more flexible and effective indexing. Practitioners may care about AutoIndex because it can improve the quality of search results in complex information retrieval tasks.

continual learningrepresentation learningretrieval systemsprogram synthesisvalidation-guided search