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small language model

2,968 papers

#small language model Review Open access Sep 2026

Artificial intelligence in colorectal cancer multidisciplinary decision-making: concordance, predictive support and clinical translation

Current evidence is insufficient to establish improvements in MDT decision quality or patient outcomes, and AI should be regarded as a supervised support tool rather than a replacement for expert multidisciplinary judgment.

A. Nikitaras, S. M. Tsoti, M. Pramateftakis · 0 citations
#small language model Dataset Open access Sep 2026

The Inference Ceiling of Generative AI Effects in English Language Learning

Claims that generative artificial intelligence (GenAI) improves language learning depend on the counterfactual, the assessment condition, and the time horizon. We conducted a convergent segregated mixed-methods evidence audit of GenAI-supported English-language learning and introduced an inference-ceiling framework tha...

Wen Hou, Nan Li, Akbar Bahari · 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
#small language model Open access Sep 2026

WhisperWolf: A Monte Carlo Benchmark for Small LLMs in a Social Deduction Game

WhisperWolf: A Monte Carlo Benchmark for Small LLMs in a Social Deduction Game Multi‑agent conversational games such as Werewolf offer a valuable testbed for evaluating the social reasoning, deception and persuasion abilities of large language models. This work presents WhisperWolf, a reproducible Monte‑Carlo benchmark...

Oliver Lemon, Wang Yingxu, Rasouli Adam et al. · 0 citations
#small language model Open access Sep 2026

Sub-Two-Bit Ternary Weight Storage with Table-Free Arithmetic Decoding for CPU Inference

Ternary (1.58-bit) language models are stored in practice at two bits per weight, 26% above the information content of a ternary symbol. The code that removes that redundancy is not new: five ternary values as the base-3 digits of one byte at 1.600 bits per weight is llama.cpp's TQ1_0 and Spectra 1.1's TQ1; the depth-o...

Justus Theile · 0 citations
#small language model Open access Sep 2026

Tact: A Zero-Cost, Browser-Based Pipeline for On-Demand Tactile Braille Storybooks

Braille literacy among blind school-age children fell from roughly 50 percent in 1960 to under 10 percent today, and the decline is a content problem, not a technology problem: producing one illustrated braille page still requires specialized software and trained labor, so almost nothing in the existing catalog is pers...

Iliano Fasolino · 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 Dataset Open access Sep 2026

The Inference Ceiling of Generative AI Effects in English Language Learning

Claims that generative artificial intelligence (GenAI) improves language learning depend on the counterfactual, the assessment condition, and the time horizon. We conducted a convergent segregated mixed-methods evidence audit of GenAI-supported English-language learning and introduced an inference-ceiling framework tha...

Wen Hou, Nan Li, Akbar Bahari · 0 citations
#small language model Open access Sep 2026

NeuroGlyph: A Semantic Interlingua Protocol over Natural Semantic Metalanguage Primes — Specification, Reference Codec, and Fidelity Evaluation

We present NeuroGlyph, a semantic interlingua protocol that encodes the meaning of human and agent communication as a rooted directed acyclic graph over the 65 semantic primes of Natural Semantic Metalanguage (NSM, Chart v15, Goddard and Wierzbicka). The protocol introduces an explicit pragmatics layer (intent, mode, e...

Alex Koltsoff · 0 citations
#small language model Open access Sep 2026

Pre-Alpha PP-OCRv6 (medium) HTR model for medieval/pre-modern Ethiopic (Geʽez, some Amharic) manuscripts

Pre-Alpha Ethiopic (Geʽez / Amharic) recognition model — PP-OCRv6 medium fine-tune Status: preliminary / pre-Alpha. This deposit is an early public checkpoint, not a finished production model. Better versions are planned as soon as additional medieval and pre-modern Ethiopic ground truth can be annotated and curated. H...

Teodor Bors · 0 citations
#small language model Open access Sep 2026

Public perceptions of academic credential fraud in Qatar: evidence from Qatar Semi-Annual Survey

Academic credential fraud threatens trust in higher education, labour-market fairness, and professional standards. This study examines self-reported familiarity with forged higher-education certificates and public perceptions of credential fraud in Qatar using data from the May 2022 Qatar Semi-Annual Survey. The model...

Sana Abusin, Catalina Petcu, Noor Al-Thani · 0 citations
#small language model Review Open access Sep 2026

Conversational Artificial Intelligence in Pediatric Occupational Therapy: A Comprehensive Narrative Review of Emerging Applications, Transferable Evidence, and Future Directions

Background: Conversational artificial intelligence (AI), including chatbots, large language models, virtual agents, and embodied conversational systems, is increasingly being introduced into healthcare, rehabilitation, education, and professional practice. In pediatric occupational therapy, these technologies could pot...

Pantelis Pergantis, N. Bardis, Charalabos Skianis et al. · 1 citation

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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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