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large language models

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#large language models Open access Sep 2026

ceceli33/titan-cognitive-core: AkbasCore 2.0 (DRA/Manifold): GPU-Native CUDA Kernel Migration and First Capability-Preservation Benchmark on Qwen2.5-7B-Instruct (Tests 89–92)

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 · 0 citations
#large language models Open access Sep 2026

TruthLens: A Verification-Gated Pipeline for Evidence-Grounded Fact-Checking of Short-Form Political Video

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 · 0 citations
#large language models Open access Sep 2026

Rough Surface Turbulence in the Noor Ocean: Complete Deterministic Theory — Why Silica Particles Tilt in Microgravity, Why Reverse Swing Works, and Why the UN DropTES Experiment Will Confirm the N-K Navier–Stokes Equation

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 · 0 citations
#large language models Open access Sep 2026

TruthLens: A Verification-Gated Pipeline for Evidence-Grounded Fact-Checking of Short-Form Political Video

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 · 0 citations
#large language models Open access Sep 2026

Rough Surface Turbulence in the Noor Ocean: Complete Deterministic Theory — Why Silica Particles Tilt in Microgravity, Why Reverse Swing Works, and Why the UN DropTES Experiment Will Confirm the N-K Navier–Stokes Equation

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 · 0 citations
#artificial intelligence Open access Sep 2026

Multimodal AI for human expression understanding

Human expression is inherently multimodal, spanning language, sound, movement, and other perceptual forms that together convey meaning. Each modality carries distinct yet complementary information. However, most Artificial Intelligence (AI) systems process these signals in isolation, failing to capture the complexity o...

Eleonora <1997> Mancini · 0 citations
#artificial intelligence Open access Sep 2026

The Robot in the Dark: Instruments, Illusions, and the Limits of Knowledge

A robot with a headlamp explores a vast dark building. It maps what its beam illuminates, measures distances, catalogs surfaces. Its maps are accurate. But the robot cannot see what lies outside the cone of its headlamp, and if it is sophisticated enough to reflect on its situation, it may make a fatal error: it may co...

Wasserman, Adam Zachary · 0 citations
#natural language process... Open access Jul 2024

Toward Secure Code Generation: Bridging Correctness and Security via Task-Adaptive Vulnerability Modeling and Execution-Based Benchmarking

Experiments across multiple LLM backbones show that SecAwareCoder consistently improves Pass@1 and security robustness over prompting and analyzer-driven baselines, narrowing the security--correctness gap in LLM code generation.

Jie-Xin Wang, Liu-Wen Cao, Xi-Tong Luo et al. · 54 citations · ⚡5

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis

It is shown that lightweight reference set distributional diagnostics can reveal model-specific instability patterns during sequential LoRA personalization of SLMs, including cases where task-level metrics alone hide harmful adaptation.

Thomas S. Paula, L. Kupssinskü, Rodrigo C. Barros · 0 citations
#large language models Open access Sep 2026

ACCELERATING PATHOLOGY REPORT DIGITIZATION: A MULTI-ENGINE OCR AND LLM FRAMEWORK FOR HEALTHCARE APPLICATIONS

Digitization and structuring of pathology reports are essential in modern healthcare for enhancing patient care, data analytics, and medical research. This study presents a framework called Dual-integrated Text Extraction using Hybrid OCR Engines (DiText-OCR), which leverages multiple OCR tools and domain-specific dict...

Journal of Theoretical and Applied Information Technology · 0 citations
#large language models Open access Sep 2026

ACCELERATING PATHOLOGY REPORT DIGITIZATION: A MULTI-ENGINE OCR AND LLM FRAMEWORK FOR HEALTHCARE APPLICATIONS

Digitization and structuring of pathology reports are essential in modern healthcare for enhancing patient care, data analytics, and medical research. This study presents a framework called Dual-integrated Text Extraction using Hybrid OCR Engines (DiText-OCR), which leverages multiple OCR tools and domain-specific dict...

Journal of Theoretical and Applied Information Technology · 0 citations

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