Author

Christian Bock

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#machine learning Preprint Oct 2026

ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs

Rapid advances in large language models have made software engineering agents capable of tackling complex coding tasks. Within a containerized environment, a coding agent receives tool responses or execution results, and determines its later actions by those earlier results. However, most existing coding agents never l...

Yi-Rou Ge, Kang-Rui Ruan, Ji-Fan Chen et al. · 0 citations

#machine learning Dec 2025

SpIDER: Spatially Informed Dense Embedding Retrieval for Software Issue Localization

This work proposes SpIDER (Spatially Informed Dense Embedding Retrieval), a dense retrieval approach that integrates LLM-based reasoning with graph-based exploration of the codebase and introduces SpIDER-Bench, a graph-structured benchmark curated from SWEPolyBench, SWEBench-Verified and Multi-SWE-bench, spanning Pytho...

Shravan Chaudhari, Rahul Thomas Jacob, Mononito Goswami et al. · arXiv.org · 0 citations