small language model

Digital Predictive Technologies for Fall Risk Assessment, Prediction, and Prevention in Long-Term Care: A Scoping Review.

OBJECTIVES This scoping review aimed to map the available evidence on digital predictive technologies for fall risk assessment, prediction, and prevention support among older adults in long-term care settings. DESIGN Scoping review. SETTING AND PARTICIPANTS Included studies focused on older adults or residents in l...

Editorial: Emerging targeted and immunotherapeutic strategies in oncology: from solid tumors to hematologic malignancies

Cancer remains among the leading causes of death worldwide, with an estimated 20 million new cases and nearly 10 million deaths in 2022 and a burden projected to grow substantially over the coming decades [1]. The conceptual framework of cancer as a disease of dysregulated hallmark capabilities, sustained proliferation...

STRATEGI GURU DALAM MENGELOLA KECEMASAN BERBAHASA SISWA KELAS VI PADA MAHARAH KALAM BAHASA ARAB

Arabic language learning as a foreign language is frequently hindered by foreign language anxiety, thereby affecting students' mastery of maharah kalam (speaking skills). However, if students continuously experience such anxiety, the objective of speaking instruction to enhance oral competence in Arabic will be difficu...

Operation Waffles: AI-Mediated Lexical Drift and Distributed Framing Effects

Operation Waffles proposes a harmless proof-of-concept for studying whether large language models can introduce measurable lexical drift into human language. The paper suggests using an innocuous tracer term—“waffles”—to test whether small model-level preferences for particular words, metaphors, or phrasings survive in...

Full-Layer Memory Injection via Compile-Time Key-Value Caches: An External-Knowledge Mechanism for Small-Parameter Language Models

Knowledge of large language models (LLMs) is frozen in parameters after pretraining and hard to update at low cost. This paper proposes a full-layer memory injection method based on compile-time key-value (KV) caches. Experiments on Qwen3-0.6B show full-layer token-level KV injection raises private-specification QA sco...

Cell line screening of AI-generated drug repurposing predictions for NF2-related schwannomas

Non-NF2 schwannomatosis (SWN) is a rare syndrome that causes nerve sheath tumors with complex genetic variations and poorly understood modifiers. With no approved pharmacologic interventions, there is an urgent need for treatments that prevent or reduce tumor growth, or that ameliorate schwannoma-associated pain. Many...

Consumer Wearable Devices for Population-Level Infectious Disease Surveillance: A Scoping Review

Preprint, version 2. This manuscript has not been peer reviewed. It is under consideration at a peer-reviewed journal. This version supersedes version 1 (10.5281/zenodo.19411761, April 2026), which should no longer be cited for any numerical result. The review was rebuilt rather than amended, and the two versions do no...

ProGRank: Probe-Gradient Reranking to Defend Dense-Retriever RAG from Corpus Poisoning

Cost-Efficient Large Language Model-Assisted Title and Abstract Screening for Systematic Reviews: Method Evaluation and Validation

DroneServer v2.0.2: an LLM-agnostic, MAVLink-based drone command-and-control MCP server with an untrusted-commander safety layer

Archived copy of the DroneServer code release v2.0.2 (git tag v2.0.2, commit 3281e6c3755814318d436556690c28e669f8c2e9), the version reported in the article An LLM-Agnostic, MAVLink-Based Drone Command and Control Interface and Agentic Harness Using the Model Context Protocol (Ramos Silva and Burke; preprint arXiv:2601....

Towards Behavior Tree-Guided Vulnerability Detection with Lightweight LLMs

Investigating Behavior Trees (BTs) as an alternative intermediate representation for LLM-based vulnerability detection suggests that BTs can provide a compact and useful structured representation for vulnerability detection with quantized, locally deployable LLMs.

MINERVA: How Small Can a Manipulation Policy Be and Still Solve LIBERO?

Vision-language-action (VLA) models with billions of parameters now dominate the LIBERO manipulation benchmark, but the model capacity actually required by the benchmark remains unclear. We introduce MINERVA (MINimal Efficient Robotic Vision-Action policy), a family of deliberately compact visuomotor policies designed...