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Dialogue SWE-Bench: A Benchmark for Dialogue-Driven Coding Agents

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arXiv:2606. 13995v1 Announce Type: new Abstract: AI coding agents have rapidly transformed software engineering, powering widely used interactive coding assistants.

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Authors: Brendan King, Jeffrey Flanigan
Released: 2026-06-15 (24d ago)
Topic: Related to current project
Relation to my work: Read next because Dialogue SWE-Bench: A Benchmark for Dialogue-Driven Coding Agents overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, persona, under, soft, eval, assistant, line, full. Source: arxiv cs.CL (NLP).
arXiv: 2606.13995

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