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small language model

3,243 papers

#small language model Open access Sep 2026

The Forced Alternative Is a Filter: What a Constructed Navier-Stokes Blowup Proves, What It Does Not, and One Order-Type Demand on Its Correction Tower

A direct reading of the OpenAI forced Navier-Stokes construction of 8 September 2026. On 8 September 2026 a construction was released, under the author line OPENAI, claiming a smooth compactly supported force under which a solution of the three-dimensional incompressible Navier--Stokes equations develops unbounded velo...

Mohammad Islam · 0 citations
#small language model Open access Sep 2026

Cognitive Shell F: Fiber Bundle Theory of the Perception-Symbol Interface — Geometric Mapping from Continuous Manifolds to Discrete Representations

Cognitive systems face the interface problem between continuous perceptualinputs and discrete symbolic representations. This paper models the perceptionsymbol interface as a fiber bundle structure, with the perceptual manifold as thebase space and the candidate symbol distribution simplex as the fiber, and specifiesthe...

changzheng zhou, ziqing zhou · 0 citations
#small language model Review Open access Sep 2026

Efficacy and safety of erythromycin and metoclopramide, alone or in combination, for successful feeding in critically Ill patients: a systematic review and network meta-analysis

Background The comparative effectiveness and safety of erythromycin, metoclopramide, and their combination for enteral nutrition in critically ill patients remain uncertain. This network meta-analysis (NMA) synthesized available evidence. Methods A systematic search of seven electronic databases (Embase, PubMed, Web of...

Ming-Wei Liu, Xiao-Yu Yang, Shan-Lan Yang et al. · 0 citations
#large language models Open access Sep 2026

Selberg–Residue Analysis of the Equally Spaced Richardson–Gaudin Pairing Model

Authorship and verification statement. The scientific problem, the original methodological direction, and the research objectives were formulated by W. V. Pogosov. The analytical derivations and numerical computations in this project were carried out by an advanced large language model (LLM), through an iterative inter...

W. V. Pogosov · 0 citations
#small language model Dataset Open access Sep 2026

HIPPOGRID evidence pack for the preliminary results (2026)

HIPPOGRID — evidence pack for the preliminary results (2026) Raw result files, figures and, from version 3, the reproduction code behind the preliminary results cited in the MSCA-PF proposal HIPPOGRID (SEP-211387371, call HORIZON-MSCA-2026-PF-01). Researcher: Álvaro González-Redondo (University of Granada). Each bundle...

Álvaro González-Redondo · 0 citations
#small language model Open access Sep 2026

Extracting AI agent-accessible data from biodiversity literature with corpus

[1.4.0] - 2026-09-09 Theme — v1.4 silent wrongs and the hazards behind them v1.3 made the pipeline show where evidence came from. This cycle went after what survives behind that: results that are wrong without saying so, and build hazards that cost hours per run without ever failing. The organizing complaint is that a...

Samuel H. Church, Maciej K. Mańko, Felipe Zapata et al. · 0 citations
#explainable ai Open access Sep 2026

One and the Same log_2 Counts a Ratio in One Law and Items in the Other ── Fitts's Law Stays at 4.3219 When D and W Are Scaled Together ── Hick's Law Turns 32 Times the Choices into Only 2.7333 Times the Time ── [Paper 345]

Fitts’s law and Hick’s law both say that time goes as log_2. This paper asks whether they are saying the same thing──the answer is that what is inside the log_2 differs: a dimensionless ratio in one, a count in the other. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new ma...

Yuuki Yamagishi · 0 citations
#large language models Open access Sep 2026

BigMixSolDB: Extraction of a solubility database in solvent mixtures with an uncertainty-quantified large language model-based pipeline

The rapidly expanding body of chemical literature contains physical data scattered across unstructured text and complex tables in thousands of publications. Translating this information into machine-readable formats is essential for training data-driven chemical models. The lack of uncertainty quantification in computa...

Andrei Voinea, Anna C. M. Thöni, Elija Veenman et al. · 0 citations
#large language models Open access Sep 2026

Same Atomic Number, Same Charge, Same Electrons: Change Only the Mass and the Rate Moves Sevenfold ── The C--H to C--D frequency ratio is 0.734230, which is not 1/sqrt(2)=0.707107 ── A zero-point difference of 4.7690 kJ/mol makes k_H/k_D=6.8468 at room temperature ── [Paper 341]

Replace hydrogen with deuterium and a reaction rate changes. This paper asks why changing only the mass moves the rate──the answer is that the energy of standing still is set by the mass. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new law...

Yuuki Yamagishi · 0 citations
#large language models Open access Sep 2026

Strength Is a Function of Volume, Not a Constant of the Material ── Multiply the Volume by 1000 and a Material of Scatter m=2 Falls to 0.0316 of Its Strength ── The Volume Factor That Halves the Strength Is Exactly 2^m: 4 at m=2 and 1048576 at m=20 ── [Paper 344]

The strength of a material appears in handbooks as one number. This paper asks what number that is──the answer is a number that means nothing unless the specimen volume is written beside it. No new mathematical theorem and no new law is claimed. Scope of this paper (scope note): No new mathematical theorem and no new l...

Yuuki Yamagishi · 0 citations
#large language models Dataset Open access Sep 2026

Full experimental record for "Strangers to Themselves" paper

Companion data archive for the paper "Strangers to Themselves: What Language Models Say About Themselves Is Generic". The code, the slimmed scoring record and the generated paper tables live in the GitHub repository. That repository alone reproduces every number in the paper. This archive holds the parts that were too...

Philipp Blandfort, Urja Pawar · 0 citations
#large language models Dataset Open access Sep 2026

Bencmarking Generative AI for Debugging Support in Program Education

Abstract—Programming activities, such as automatic debugging and program repair, are increasingly being supported by Generative Artificial Intelligence (GenAI). However, a rigorous empirical evaluation of the efficacy of various large language models (LLMs) across several debugging phases is necessary. Using a benchmar...

Muhammad adrevi zaki rukmana, Sasmoko Sasmoko, Novtryananda M.S Ghunu et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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