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small language model

3,629 papers

#small language model Open access Aug 2026

Incorporating Linguistic Normalization in Croatian NLP: Evaluating the Impact of Lemmatization on Disinformation Detection Performance

It is demonstrated that lemmatization does not produce uniform gains across architectures: while linear models and croBERT display small but measurable improvements from morphological normalization, non-linear models such as RBF SVM and neural networks experience substantial declines in performance.

I. Ljubi, M. Horvat, G. Gledec et al. · 0 citations
#small language model Open access Aug 2026

Let’s read the log: root cause analysis of railway test execution logs with large language models

Results showed that long-context LLMs tended to achieve higher accuracy than smaller models, suggesting that LLMs are currently better suited to support human-in-the-loop root cause analysis than to fully automate it, and motivating further work to improve prediction accuracy for log-based RCA.

Rahmanu Hermawan, Alessio Bucaioni, Eduard Paul Enoiu et al. · 0 citations
#small language model Open access Aug 2026

CytoGate-Bench: an LLM benchmark for cross-panel cell gating in cytometry

This work introduces CytoGate-Bench, a benchmark that reformulates this per-step procedure as a zero-shot, panel-agnostic task for large language models, and contributes a public benchmark that tests precisely that ability across 11 human cohorts.

Jaesik Kim, Byounghan Lee, N. Ahn et al. · 0 citations
#small language model Open access Aug 2026

MGTP-Seg: a mask guidance and text prompting network for gross tumor volume segmentation in esophageal cancer radiotherapy

This work demonstrates that MGTP-Seg not only provides an accurate, interpretable, and clinically relevant solution for automatic GTV delineation, but also offers a novel methodological framework to fuse spatial priors with semantic knowledge in medical image analysis.

Cheng-Wei Chen, Hong-Fei Sun, Yuxuan Yao et al. · 0 citations
#small language model Review Open access Feb 2026

An Ontology for Workplace Violence: Protocol to support Cross-sector Incident Reporting in Public Services.

BACKGROUND Underreporting is a defining problem in the registration of workplace violence across public services. This is reinforced by inconsistent, often poor incident descriptions and the absence of a clear, shared nomenclature. Without an ontology-backed structure, similar events are recorded differently across set...

I. Steenhout, Ronald Buyl · 0 citations

Towards Agentic Agent-based Models: Feasibility, Performance, and Statistical Model Checking

This work extends the classical Schelling segregation model with a hybrid population: ordinary agents classify neighbors using the standard symbolic rule, while one agent delegates this task to an LLM through tool calls, providing a minimal but controlled setting where the semantic, operational, and computational behav...

Stefano Blando, Emanuele Guerrazzi, R. Porcedda et al. · 1 citation

NavAI: an application-agnostic llm framework for navigation tasks in virtual reality environments

NavAI is an extensible navigation framework that leverages large language models (LLMs) to support both basic action commands and multi-step goal-oriented navigation through an application-agnostic screenshot-and-control interface and explores optimization strategies for virtual scene understanding and navigation goal...

Jiajie Wang, Sumesh Surendran Letha, M. DiGiovanni et al. · 0 citations
#small language model Preprint Aug 2026

Video-OPSD: Exploiting Privileged Visual Evidence for On-Policy Self-Distillation in Video Large Language Models

Experiments across video understanding and reasoning benchmarks show that the Evidence-Grounded Self-Teacher framework consistently improves upon Standard OPSD across multiple backbones and achieves performance comparable to GRPO while requiring substantially less training time, establishing an effective and efficient...

Zi-Yue Wang, Shi-Qi Huang, Wei-Wen Xu et al. · 5 citations
#small language model Preprint Aug 2026

A Layer Importance Metric for Quantization Accounting for the Speed-Quality Trade-off in Autoregressive Models

This work proposes a composite metric that combines two orthogonal criteria: information retention and throughput gains and finds that it allocates more resources to the most expressive layers compared to evolutionary search, specialized accelerators, or Shapley-value-based approaches that require expensive approximate...

A. Safronov · 1 citation · ⚡1
#small language model Preprint Aug 2026

The Pulse Beneath the Job Title: Monthly Readings of Requirements and Tasks from 750 Million Chinese Job Ads

How do we define an occupation? By its job title? An accountant at a small trading company keeps the books; at a listed firm the same title demands a certified-accountant licence, and the week goes to the reports that regulators and the board read. Same title, different bar, different work. What defines an occupation i...

Qingqing Chen, Ying Fang, Xiang-Yu Wang et al. · 0 citations
#small language model Preprint Aug 2026

Ternary-Valued Finite-Difference Time-Domain Method: Equiva-lence with the Yee Scheme Through Noise-Shaped Quantisation

It is demonstrated that finite-difference time-domain dynamics can be reproduced with field variables restricted to the ternary alphabet, and its extension to acoustics, Virieux-type elastodynamics and Schrodinger-equation solvers points to a broader class of quantised physics solvers for resource-constrained and speci...

I. S. Maksymov · 0 citations

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