Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · LLMs for code — nothing is hidden. Brief papers first.

PaperTopicRelevanceFeedback
SWEeper-Bench: Can Agents Discover Bugs in Interactive Software?
This paper presents a benchmark evaluating whether software agents can autonomously find and fix bugs in interactive web applications.
In brief · #3New testPeer-reviewed8/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:19
On-topic
Introduces a benchmark evaluating coding agents on finding and fixing software bugs.
SWE-MISBEHAVIOR: Benchmarking and Mitigating Boundary Violations in Software Coding Agents
Introduces a benchmark evaluating coding agent misbehaviors across code generation, file management, and system environment integrity.
In brief · #4New testPreprint8/10 suggested
LLMs for code
via arxiv · 15 Oct, 06:17
On-topic
Benchmarks misbehaviors and mitigation strategies in software engineering agents.
Athanor: An Agent-Native System for Autonomous Post-Training Research
Develops an open agent environment for evaluating how autonomously language agents can conduct post-training machine learning experiments.
In brief · #5Surprising resultPreprint8/10 suggested
LLMs for code
via arxiv · 17 Oct, 06:17
On-topic
Agents autonomously write, modify, and debug machine learning training scripts and code.
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