functional-standard-atlas: attenuation-corrected, territory-resolved benchmarking of variant effect predictors against saturation genome editing Software and frozen data underlying the manuscript "Measurement reliability bounds functional benchmarks and relocates where variant effect prediction fails" (N. Zhang). WHAT...
A companion note to "Evidence for the Many-Worlds Interpretation of Quantum Mechanics via Large Language Model Architecture" (10.5281/zenodo.20533902). Revisits the structural analogy between parallel LLM inference and Everettian branching honestly: identifies what the analogy illustrates well (shared origin, isolated...
Earth); Vitaly Shcherbak (Montenegro, San Francisco) Claude (Anthropic PBC· Zenodo (CERN European Organi...· 0 citations
A companion note to "Evidence for the Many-Worlds Interpretation of Quantum Mechanics via Large Language Model Architecture" (10.5281/zenodo.20533902). Revisits the structural analogy between parallel LLM inference and Everettian branching honestly: identifies what the analogy illustrates well (shared origin, isolated...
Earth); Vitaly Shcherbak (Montenegro, San Francisco) Claude (Anthropic PBC· Zenodo (CERN European Organi...· 0 citations
General-purpose Large Language Models (LLMs) predominantly trained on Anglo-American Common Law corpora demonstrate severe jurisdictional fragility when confronted with civil law traditions, frequently exhibiting statutory hallucination, citation of repealed legislation, and systematic disregard for statutory hierarchi...
Armiko Dahono· Zenodo (CERN European Organi...· 0 citations
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General-purpose Large Language Models (LLMs) predominantly trained on Anglo-American Common Law corpora demonstrate severe jurisdictional fragility when confronted with civil law traditions, frequently exhibiting statutory hallucination, citation of repealed legislation, and systematic disregard for statutory hierarchi...
Armiko Dahono· Zenodo (CERN European Organi...· 0 citations
Large language model inference is usually optimized from the model inward: runtime systems predict future experts from hidden states, router scores, token statistics, or local activation correlations, while dynamic-depth methods decide which model layers can be skipped for the current input. This preprint proposes a di...
This is unedited work with Mistral Vibe. Quality/logic checked through multiple different instance reviews. Proceed with caution. This manual presents a novel methodology for detecting algorithmic bias in large language models (LLMs) by analyzing GPU power-line current fluctuations during inference. Unlike existing bia...
Matty Hilliard· Zenodo (CERN European Organi...· 0 citations
Ranking is saturated, calibration is not, and neither changes the evidence strength — code and frozen analysis set Software and frozen data underlying the manuscript "Ranking is saturated, calibration is not, and neither changes the evidence strength: an independent benchmark of splice-region variant effect predictors...
Ningyi Zhang· Zenodo (CERN European Organi...· 0 citations
Few-shot learning enables large language models to efficiently perform tasks given only a limited number of labeled examples. However, training these models entirely from scratch requires substantial computational resources, making it challenging for many organizations to fully leverage their potential. This thesis exp...
Danyal Aftab· Arrow - TU Dublin (Technolog...· 0 citations
Abstract: We report the migration of AkbasCore's inference-time, multi-axis activation-steering kernel from a host-side C++ implementation to a GPU-native CUDA kernel, and the first capability-preservation benchmark of this method against real-world evaluation data. The steering framework combines a critically-damped,...
ceceli33· Zenodo (CERN European Organi...· 0 citations
TruthLens is an evidence-first pipeline for fact-checking short-form political video and image posts. It decomposes a post into atomic claims, researches each against the open web, and subjects every generated verdict to a deterministic, non-LLM validator — checking citation existence, source-fetch success, numeric gro...
Aditya Rekhe· Zenodo (CERN European Organi...· 0 citations
N-K SCIENCES INTERNATIONAL PUBLICATION ZENODO SUBMISSION — DOI: 10.5281/zenodo.22759468 --- COMPLETE METADATA & DESCRIPTION Basic Information Field ValueTitle Rough Surface Turbulence in the Noor Ocean: Complete Deterministic Theory — Why Silica Particles Tilt in Microgravity, Why Reverse Swing Works, and Why the UN Dr...
Muhammad Usman Malik· Zenodo (CERN European Organi...· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
