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small language model

3,573 papers

#small language model Open access Sep 2026

Dynamic medical knowledge graph updating method based on LLM decision control

A Dynamic Medical Knowledge Graph updating framework based on Large Language Model (LLM) decision control is proposed, modeling the knowledge updating process as a sequential decision problem driven by multi-source feedback and stability constraints, thereby achieving a safe and controllable updating mechanism at the m...

Keyong Hu, Jia-Bin Hu, Meng-Huan Yue et al. · 0 citations
#small language model Preprint Sep 2026

SkipVLA: Skipping VLA Steps with Classical Planning for Fast Robot Manipulation

SkipVLA is a hybrid policy that combines a pretrained VLA with a classical motion planner, using the planner for free-space motion and querying the VLA only for contact-rich skills such as grasping and placing, demonstrating up to 2.5x faster task completion and significantly lower energy consumption.

Kaivalya Agrawal, Md Ashiqur Rahman, Raymond A. Yeh et al. · 0 citations
#small language model Preprint Sep 2026

HEROIC: Heterogeneous Evidential Reasoning for Open-Vocabulary Identification and Cross-Robot Collaboration

HEROIC is a decentralized heterogeneous multi-agent open-vocabulary search coordination framework that requires agents to communicate in natural language only and reaches the target 84% of the time across all 6 scenes, compares to 35-54% for vision-language frontier baselines, frontier-based search, lawnmower, and rand...

Mihir Chauhan, Aarav Jain, Addison Zucek et al. · 0 citations
#small language model Preprint Sep 2026

Molecular Geometry Understanding Has Unintendedly Emerged in Frontier Large Language Models

This work tests a model's ability to rank conformers by stability, suggesting that it emerged unintendedly from models training on linked but conceptually different tasks, and suggests that current frontier models offer a realistic starting point for AI-driven molecular design.

Gregorii A. Semakin, T. Losev, Ilya V. Prolomov et al. · 0 citations
#generative ai Review Open access Sep 2026

The pitfalls of AI detection in academic writing: bias, false positives, and the need for inclusive assessment

The paper distinguishes genuine false positives from definitional boundary cases involving AI-assisted translation and polishing, engages the counter-argument that AI-polished prose may itself flatten linguistic diversity in academic English, and proposes a concrete process-oriented assessment model based on declared s...

Victor Angelier · 0 citations
#small language model Preprint Sep 2026

EviRCA: Decoupling Evidence Extraction from Reasoning for Microservice Root-Cause Analysis

EviRCA is presented, a framework for LLM-based RCA that decouples deterministic evidence extraction from LLM reasoning and substantially outperforms prior OpenRCA baselines that achieve up to 15.2%, while reducing token consumption by 15-26x and execution time by 3-20x.

Yu-Hao Wang, Zhen Qin, Xing-Liang Wang et al. · 1 citation · ⚡1
#small language model Preprint Sep 2026

Converging Naming Styles, Persistent Network Locality: GitHub in the LLM Era

Social conventions often emerge through repeated interactions within social networks, allowing shared practices to coexist with variation across groups. Large language models (LLMs) introduce a potentially different coordination structure: a small number of widely used models can expose socially distant users to simila...

Yuto Tamura, Sho Tsugawa · 0 citations
#small language model Preprint Sep 2026

An Insurance Broker for Every Small Business: The Economics of Exceptional Care at Scale

Small-business owners need expert guidance on their own terms, across schedules, languages, and channels, but low premiums make exceptional, continuous human service uneconomic for much of the market. Combining public evidence, Kinro operational data, and an illustrative five-year service model, we show why traditional...

Pierre-Alexandre Kamienny, Parthasarathi Ainampudi, Corentin Hugot et al. · 0 citations
#small language model Preprint Sep 2026

WorldContact: A Contact-Centric World Model for Scalable Robot Learning

Adapting robots to new objects and tasks requires interaction experience that can be costly to obtain. We present WorldContact, a contact-centric world model for deformable-object manipulation, constructed from a limited set of high-quality trajectories to generate additional training data efficiently. It predicts obje...

Caoliwen Wang, Meng-Di Wang, Heng Zhang et al. · 0 citations
#small language model Preprint Sep 2026

HEROIC: Heterogeneous Evidential Reasoning for Open-Vocabulary Identification and Cross-Robot Collaboration

Multi-agent heterogeneous air-ground robot teams are attractive for open world search, with applications for reconnaissance, urban search and rescue missions (USAR), disaster response and recovery, and hazardous environments. These two platforms have different failure modes: aerial robots cover ground quickly but canno...

Mihir Chauhan, Aarav Jain, Addison Zucek et al. · 0 citations
#small language model Open access Sep 2026

Search Does Not Just Change Who AI Recommends. It Changes the Words It Uses.

This study tests whether enabling web search changes not only which brands an AI model recommends, but also the vocabulary it uses to describe them. We reused the same 50 buyer-intent prompts across two conditions: web search enabled and web search disabled. Category and prompt set were held constant, allowing the anal...

Daniel Pokorny · 0 citations

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