VulnScope, a web-based vulnerability assessment (VA) system that integrates a Large Language Model (LLM) to analyze the attack surface and generate contextual remediation recommendations, shows that integrating VA with artificial intelligence effectively helps MSME owners independently identify and remediate website se...
Fifth tagged release. (A v1.4 tag exists on d965cf2, Grok's partial freeze of 5 September — 445 commits behind this one, no release; it is kept as history and superseded here.) The law. The depth of the well — the smallest eigenvalue of the windowed Weil form on the window $[0, L]$, $L = \log\mu$ — is a count: the eige...
darreal44, djoubertthot· Zenodo (CERN European Organi...· 0 citations
Modern humans run an inherited psychological operating system. Its deepest layer is conserved primate social architecture; call it the firmware. It sorts people into ours and theirs, then helps determine whom to copy, whom to submit to, whom to desire, and whom to tend. This machinery was calibrated in small, repeatedl...
Loren Curtis Rauch· Zenodo (CERN European Organi...· 0 citations
Technical note TR-2026-02, superseding TR-2026-01. We measure what happens when a frozen language model is sampled 128 times perproblem and the result is selected rather than taken as given. On GSM8K,Qwen2.5-0.5B-Instruct goes from 45.3% at a single sample to 66.5% undermajority voting, with no weights modified. Covera...
Alejandro Areces Rivera· Zenodo (CERN European Organi...· 0 citations
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NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with J...
Jona Emiri· Zenodo (CERN European Organi...· 0 citations
NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with J...
Jona Emiri· Zenodo (CERN European Organi...· 0 citations
NGramLang is a small domain-specific language and interpreter designed to make the mechanics of document retrieval explicit and executable. Through ten declarative commands, a user loads text documents, aggregates them into a corpus, and ranks them against a free-text query. The language front end is implemented with J...
Jona Emiri· Zenodo (CERN European Organi...· 0 citations
Baseline Gustave Roussy Immune Score (GRIm) was the most consistent candidate prognostic marker in this real-world ES-SCLC cohort and was identified markedly shorter overall and progression-free survival.
David Sánchez García, Miguel Borregón-Rivilla, A. Moya-Martínez et al.· Cancer Management and Resear...· 0 citations
It is argued that epistemic diversity is a useful evaluation dimension for settings where LLMs are used to support knowledge-intensive tasks, and a preliminary framework for conceptualizing and measuring epistemic diversity in LLMs is proposed, and operationalized in two domains.
Elisabeth Kirsten, N. Krämer, Muhammad Bilal Zafar· 0 citations
This work develops a new reinforcement learning signal named ConsensusPR, which directly reduces the reward sparsity of outcome reward across long reasoning trajectories, and introduces ConsensusBench, a novel dataset designed to provide rule-based process-level signals.
Shi-Qi Yan, Chao-Hong Tan, Qian Chen et al.· 0 citations
This work presents MedProb, a lightweight probing framework that predicts multiple-choice Med-VQA answers from frozen VLM representations without free-text generation, and shows the probe can be extended to open-ended generation via a rejection-sampling scoring procedure.
This work investigates whether LLMs can learn molecular design strategies from cheaper synthetic tasks that generalize to expensive molecular lead optimization settings and suggests that scaling post-training using synthetic tasks is an effective strategy for adapting LLMs to high-cost experimental scenarios that are t...
Frank Hu, Shriram Chennakesavalu, Zi-Cheng Wang et al.· 0 citations
