Author

S. Dristi

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Preprint Aug 2026

SONAR: Task-Aware Code Summary Evaluation for LLM Consumers Without References

Source code summaries have traditionally been evaluated from a human developer's perspective, with quality determined by how closely they resemble developer-written references and how well they align with human preferences. But this overlooks a growing reality: LLM-based tools and agents increasingly consume code summa...

S. Dristi, M. B. Dwyer · 0 citations

Preprint Aug 2026

What Survives the Next Model? Benchmarking LLM-Based Techniques Against Single-Prompts

Analysis of technique papers from ICSE 2026 finds that a newer model with a single prompt natively outperforms the heavily engineered tooling proposed just a year prior, and identifies that constructive techniques like code generation or repair are more amenable to substitution by a single-prompt.

Nahian Salsabil, Joy Saha, S. Dristi et al. · 0 citations