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small language model

3,629 papers

#graph neural networks Editorial Open access Sep 2026

Editorial: Neurobiological foundations of cognition and progress toward artificial general intelligence

The problems are as follows: a) what is intelligence, b) how human intelligence differs from that in the other species, c) how could intelligence emerge in the physical universe, d) what is the future of AI? e) The last decade has witnessed breakthrough advances in machine learning methods rooted in the ideas of digita...

Yufik Yan, Robert Kozma, James Kröger · 0 citations
#small language model Open access Sep 2026

Crest-Null Philosophy - Pillar 19: AI at Crest and Pre-AGI Null Risk

Artificial intelligence systems are accumulating coordination complexity at an unprecedented rate, approaching a Crest state in which marginal costs of alignment, energy, data, and governance exceed available surplus. The boundary-management and continuity-preserving role, manifests in AI as the set of mechanisms requi...

Charles Richard Walker (C. Rich) · 0 citations
#small language model Open access Sep 2026

Measuring structural value alignment in sixteen models: LLMs have human-like moral spaces

Evaluating whether large language models (LLMs) reason about morality in human-like ways requires more than measuring whether they produce the right outputs in isolated cases. Existing approaches – including scalar agreement, distributional analysis, rationale classification, and consistency testing – compare model and...

Ye-Xiang Tang · 0 citations
#small language model Open access Sep 2026

Performance of large language models as a source of clinical information on bacteriophage therapy

Bacteriophage therapy is re-emerging as a potential strategy to address antimicrobial resistance, but standardized patient education materials are limited. Large language models (LLMs) are increasingly used for patient-facing medical information. The quality of LLM-generated responses to 20 patient-relevant questions w...

Nike Walter, Derek F. Amanatullah, Laurent Debarbieux et al. · 0 citations
#small language model Open access Sep 2026

Searching for Emergent Geometric Coordinate Systems in LLM Hidden Representations: A Replication Attempt

This is a mechanistic-interpretability replication attempt testing whether large language models (Qwen2.5-0.5B, Mistral-7B-v0.1) encode small closed relational sets, such as days of the week and months, as literal low-dimensional geometry in hidden-activation space, via a graph-Laplacian probe. We report six results, i...

Paul Jarvis · 0 citations
#generative ai Open access Sep 2026

Bridging the Support Gap with Generative AI Enabled Learner Profiles for Adolescents with Autism

Current autism profiling frameworks are grounded in the medical model, persistently failing to translate diagnosis into effective classroom support. While the neurodiversity movement advocates for learner-led, integrated profiling, existing approaches remain clinician-driven and adult-authored. This paper reports Phase...

I.S. Lee, W.J. Farr · 0 citations
#large language models Open access Sep 2026

Optimizing Few-Shot Learning in Pruned Large Language Models with Task-Specific Prompts

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 · 0 citations
#small language model Open access Sep 2026

xvetu/neuroglyph: NeuroGlyph v0.4 — semantic interlingua on NSM primes

Semantic interlingua over the 65 NSM primes (NSM Chart v15, Goddard & Wierzbicka), with PropBank roles, a 10-axis diacritic feature mask, and macro crystallisation. Codec — binary wire format and agent transport binary.py — NG-BIN v1, a LEB128 varint format over the glyph graph; order-preserving, no external dependenci...

xvetu · 0 citations
#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

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