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large language models

2,533 papers

#artificial intelligence Open access Oct 2026

NP-SEE v6.1: Genomic Structural Analysis of Filoviruses and Emerging Pathogens -- Ebola Bundibugyo 2026 Epidemic Strain, Marburg Angola, CCHF, VZV, PRV

Part one (new in this version, pre-registered). Forty-nine complete filovirus genomes from nine species were compared against order-2 and order-5 Markov models fitted to each 16,384-base window, with three surrogate replicates per window. Across the 19 genomes frozen as the primary set, all four declared measures depar...

Luca Lupinacci · 0 citations
#large language models Dataset Open access Oct 2026

Benchmark Dataset for Prompt-Shape- and Prefix-Cache-Aware CPU/NPU Routing on Edge SoCs

This dataset supports the experiments reported in “Prompt-Shape- and Prefix-Cache-Aware CPU/NPU Routing for Large Language Model Inference on Edge SoCs.” It contains CPU/NPU latency measurements, benchmark prompts and prompt manifests, prompt-generation scripts, measurement runners, and analysis code for Prompt-Shape-A...

Qiuchang Han · 0 citations
#large language models Dataset Open access Oct 2026

Calibrating Uncertainty: A Calibration Audit of Large Language Models for Cardiovascular Risk Estimation with Real-Time Error Warning

Anonymous replication package (code, prompts, per-request timestamps, and all result databases) for the study Calibrating Uncertainty. Version 3.0 adds prompt-based mitigation arms (formula provision, chain-of-thought), a disjoint external-validation sample (cases 101-200), RTCWS ablation against simple deployment rule...

Anonymous · 0 citations
#large language models Open access Oct 2026

Curated Context, Not Weight Surgery: Reasoning-Shaped Mindsets over MCP as a Safe Stopgap for Task-Scoped Functional Tuning of Small Language Models

v0.3 (2026-10-03). Correction. An internal re-analysis of the released per-generation records (github.com/saluca-labs/cct) on 10 August 2026 found that the poisoned-reference results reported in v0.1 and v0.2 do not measure what the paper says they measure. The full re-analysis behind this correction, with the failure...

Cristian Ruvalcaba, Agentic AI Research Team · 0 citations
#large language models Open access Oct 2026

A dichotomous Leggett–Garg witness for braid-representation density in SU(2)_k: exact at d=2, dimension-limited at d ≥ 3

Whether a temporal (Leggett–Garg) measurement can certify the computational power of an anyonic braid representation—its density in the unitary group, the property underlying universal topological quantum computation—has, to our knowledge, not been studied. We give a complete operational characterization of when the di...

Berkay Yüksel Sayim · 0 citations
#natural language process... Open access Oct 2026

Knowledge boundary probing and demand-guided intervention for LLM-based power system code generation

Large language models (LLMs) can turn grid-analysis requests into executable programs for power-system simulation, but utilities and research laboratories often require on-premise deployment. In this setting, first-pass failures frequently arise at an API-knowledge boundary , through hallucinated functions, misused par...

hui wu, Xiaoyang Wang, Zhong Fan · 0 citations
#large language models Dataset Open access Oct 2026

Modern LaTeX Editions of Public-Domain Mathematics Manuscripts

This is the broad reading guide and preservation collection for modern LaTeX transcriptions and translations of historical mathematics. It brings together European, Chinese, Indian and Islamic mathematical texts, original-language editions, translations, editable sources, source witnesses, editorial apparatus and check...

Multiple Indian and Sanskrit mathematics authors · 0 citations
#large language models Open access Oct 2026

Leggett–Garg K₃ Values Above 1 in Fibonacci-Anyon Braiding: 99.998% of the Lüders Bound, and Exactly 1 for Ising Braiding

We numerically test the three-time Leggett–Garg inequality K₃ ≤ 1 for the standard B₃ Fibonacci-anyon braiding representation on the two-dimensional fusion space of three τ anyons. Exhaustive enumeration over all 4^L braid words up to length L=11 and random sampling to L=40 show that K₃ saturates the Lüders bound 3/2 t...

Berkay Yüksel Sayim · 0 citations
#large language models Open access Oct 2026

CHSH-Form Values Without Bell Nonlocality: Inapplicability of the Tsirelson Bound on a Non-Factorized Fibonacci Fusion Space

We construct a sequential measurement protocol on the n=8 Fibonacci-anyon fusion space of dimension D = F₇ = 13 whose CHSH-form expectation value attains |S| = 3.406, above the value 2√2≈ 2.828 that bounds CHSH correlations under the standard setting-locality precondition, which this construction does not satisfy. The...

Berkay Yüksel Sayim · 0 citations
#large language models Open access Oct 2026

CHSH-Form Values Above 2 in Fibonacci Anyon Braiding: A Complete Landscape of Braid Words up to Length 12

We report a complete sequence-by-sequence landscape of CHSH-form values for six Fibonacci anyons in two encodings, covering all words of length L=3–12 with two generators and L=2–9 with three. In the two-generator d₁ᵦ encoding, braiding alone cannot exceed the classical value: the two generators act on different anyons...

Berkay Yüksel Sayim · 0 citations
#large language models Open access Oct 2026

CHSH-Form Values Above 2 for Standard Fibonacci Anyons, and the Non-Topological Origin of Finite-Size Sector–CHSH Mutual Information in Z2 Lattice Gauge Theory

We quantify the mutual information I between topological sector labels T and CHSH values S in two-dimensional lattice models. Throughout, I denotes a classical Shannon mutual information between a global discrete label and a scalar measured value; it is not an entanglement entropy between spatial regions. In the Z₂ lat...

Berkay Yüksel Sayim · 0 citations
#large language models Open access Oct 2026

Synthetic Worldview Reconstruction (SWR): A Methodological Framework for LLM-Assisted Group-Level Belief System Analysis

Abstract (English) This paper presents Synthetic Worldview Reconstruction (SWR)—a method for reconstructing the collective belief systems of sociologically defined groups using large language models. SWR formulates worldview analysis as an inverse problem: given the aggregated public statements and documented actions o...

Lukas Geiger · 0 citations

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