Skip to content

Category

small language model

3,243 papers

#small language model Open access Sep 2026

The Look of a Lie: Chart-Deception Probes on Vision-Language Model Activations Read Distortion Geometry and Are Mechanism-Bound

Deception probes on language models answer a binary question: is this response deceptive? Charts allow a graded one, because a chart rendered from its own distortion parameters has an exact Tufte Lie Factor. We render 1,685 charts from real statistical series under parameterised distortions and train linear probes on t...

Carson CONCEPTION Rodrigues · 0 citations
#small language model Open access Sep 2026

TDLT_YasudaK_PI_Ab_Initio_Transcendence

TDLT_YasudaK π Ab Initio Transcendence What is presented here constitutes only a small sample of several years of independent research. This work does not ask the reader to accept The Dark Light Theory (TDLT) through persuasion. TDLT is proposed as a continuous dependency architecture, in which later structures are int...

SILVIO KOZO YASUDA · 0 citations
#small language model Open access Sep 2026

TOPO-2026 Validation Framework: A Dual-Approach Evaluation Suite for Certified Vision-Language Models

TOPO-2026 Validation Framework: Complete Summary Document Overview Title: TOPO-2026 Validation Framework: A Dual-Approach Evaluation Suite for Certified Vision-Language Models Author: Frank Morales Aguilera, BEng, MEng, SMIEEE Affiliation: Sovereign Machine Laboratory (SOMALA), Montreal, Canada Date: August 2026 Core P...

Frank Morales · 0 citations
#edge computing Open access Sep 2026

mnemorphics

Short takeaway: Mnemorphics is a mega‑document—a merged research codex—combining acoustic metamaterials, shockwave diodes, energy‑harvesting physics, AI cognitive‑warfare systems, particle‑capture engineering, and large‑scale defensive architecture. It reads like a fusion of hard engineering, corrected physical models,...

francis lee · 0 citations
#small language model Open access Sep 2026

AGENTRUN: Failure-Driven QLoRA Specialization for Multi-Tool Agent Behavior in a 7B Language Model

Parameter-efficient fine-tuning is widely assumed to improve small open-weight models on the specific behaviors it targets. We present a controlled case study that complicates this assumption for multi-tool agent execution. Using Qwen2.5-7B-Instruct and a fixed 23-task, machine-checkable benchmark, we show that an init...

Alyssa L · 0 citations
#small language model Book Open access Sep 2026

The Buyer's Chair

What a buyer abroad already believes before a seller says anything A buyer three time zones away decides about a supplier before the supplier has said anything, on evidence the supplier did not know was being read. A small manufacturer trying to sell abroad believes the problem is reach, and puts its effort into approa...

Alya Iskandar · 0 citations
#small language model Open access Sep 2026

From zero-shot to fine-tuning: optimize large language models for error detection of ultrasound reports

It is demonstrated that task-specific fine-tuning enables open-source LLMs to rival proprietary LLMs and expert radiologists in Chinese ultrasound report error detection, offering a locally deployable and privacy-preserving, and regulation-compliant solution for enhancing reporting consistency and reducing diagnostic e...

Min Lai, Jin Zhang, Ya-Er Lv et al. · 0 citations
#small language model Open access Sep 2026

TDLT_YasudaK_PI_Ab_Initio_Transcendence

TDLT_YasudaK π Ab Initio Transcendence What is presented here constitutes only a small sample of several years of independent research. This work does not ask the reader to accept The Dark Light Theory (TDLT) through persuasion. TDLT is proposed as a continuous dependency architecture, in which later structures are int...

SILVIO KOZO YASUDA · 0 citations
#edge computing Open access Sep 2026

TOPO-2026 Validation Framework: A Dual-Approach Evaluation Suite for Certified Vision-Language Models

TOPO-2026 Validation Framework: Complete Summary Document Overview Title: TOPO-2026 Validation Framework: A Dual-Approach Evaluation Suite for Certified Vision-Language Models Author: Frank Morales Aguilera, BEng, MEng, SMIEEE Affiliation: Sovereign Machine Laboratory (SOMALA), Montreal, Canada Date: August 2026 Core P...

Frank Morales · 0 citations
#small language model Book Open access Sep 2026

The Buyer's Chair

What a buyer abroad already believes before a seller says anything A buyer three time zones away decides about a supplier before the supplier has said anything, on evidence the supplier did not know was being read. A small manufacturer trying to sell abroad believes the problem is reach, and puts its effort into approa...

Alya Iskandar · 0 citations
#small language model Open access Sep 2026

Aromatic Heterocycle Ligands for Perovskite Photovoltaics: Balancing Defect Passivation and Heterostructure Formation.

Inverted perovskite solar cells (PSCs) possess great potential for improving efficiency and operating stability, but parasitic charge recombination at the interfaces still limits their performance. As additives and surface treatment agents, ammonium ligands have been reported to form either two/three-dimensional (2D/3D...

Yu-Lan Huang, Mu-Chen Li, Qing-Bin Cai et al. · 0 citations
#small language model Open access Sep 2026

AGENTRUN: Failure-Driven QLoRA Specialization for Multi-Tool Agent Behavior in a 7B Language Model

Parameter-efficient fine-tuning is widely assumed to improve small open-weight models on the specific behaviors it targets. We present a controlled case study that complicates this assumption for multi-tool agent execution. Using Qwen2.5-7B-Instruct and a fixed 23-task, machine-checkable benchmark, we show that an init...

Alyssa L · 0 citations

From tech blogs

See all →
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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.