Every paper checked — nothing hidden

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Every paper checked in the week of 12–18 Oct 2026 · LLM evaluation and benchmarks — nothing is hidden. Brief papers first.

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Last Secure Code Benchmark: Is the Code You Vibe Secure?
This paper introduces a benchmark evaluating whether coding agents produce functionally correct code that also avoids real-world security vulnerabilities.
In brief · #2Surprising resultPreprint9/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:17
On-topic
Introduces a benchmark evaluating the security and functionality of code generated by models.
The Thinking Leakage in Reinforcement Learning for LLMs
The paper examines whether non-thinking mode reinforcement learning gains in hybrid reasoning models stem from leakage of thinking-mode activations.
In brief · #5Surprising resultPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 15 Oct, 06:18
On-topic
Demonstrates evaluation confounds where RL gains stem from internal mode shifts.
APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces
The paper introduces a benchmark evaluating agent susceptibility to prompt and script injections across multi-tool shared workspace environments.
In brief · #6New testPreprint8/10 suggested
LLM evaluation and benchmarks
via arxiv · 12 Oct, 16:28
On-topic
Introduces APEX-Harm, a benchmark evaluating prompt and script injection against frontier models.
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