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small language model

2,968 papers

#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
#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
#small language model Open access Sep 2026

Beyond word error rate: clinical risk as the necessary standard for ambient AI scribe evaluation: evidence from 77 global languages

Across this controlled multilingual corpus, aggregate transcription-frequency metrics did not reliably track the sparse severe tail of clinically consequential errors, and these data do not support its use alone as a proxy for clinical safety.

H. Bergman, V. Liu, B. Austin et al. · 0 citations
#small language model Preprint Sep 2026

Rank-Consistent Set Reasoning for Co-Salient Object Detection

Rank-Consistent Set Reasoning is presented, a supervised dense-prediction framework that models a group as an unordered set rather than as a sequence of images or a semantic label, and introduces a group permutation objective and hard-distractor augmentation so that the model learns the properties of a set-level target...

Yuan-Xin Xiang, Matteo Rossi, Ying-Zhou Chen · 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
#natural language process... Preprint Sep 2026

IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 English

Our team, VANGUARD, presents IROH (Insightful Ranking of Humor), a three-stage retrieval system for JOKER Task 1 English at CLEF 2026, achieving first place on the leaderboard with 0.6347 MAP. Our pipeline combines hybrid sparse-dense retrieval, cross-encoder reranking, and a LoRA-adapted Large Language Model judge ens...

A. Mocanu, Sebastian Mocanu, Ciprian-Octavian Truică et al. · 0 citations

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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.

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