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small language model

2,967 papers

#small language model Open access Sep 2026

Understanding Public Attitudes Towards Immigration Through Online Social Media

Immigration is one of the most politically salient and emotionally charged issues in contemporary public life, shaping debates about national identity, belonging, economic change and social order. Social media platforms have become central arenas in which these debates unfold, allowing immigration-related claims, fears...

Andrea Pio Nasuto · 0 citations
#small language model Open access Sep 2026

**A Multidisciplinary Investigation into the Promise, Challenges, and Policy Imperatives of Artificial Intelligence in India — Integrating the Perspectives of Industry Leaders Anand Mahindra and Nandan Nilekani with Contemporary Debates on Ethics, Inclusion, Sovereignty, and Sustainable Technological Development** ---

--- ## Alternative Titles 1. **The New Electricity: Artificial Intelligence as Protector of Future Welfare — An Analytical Study of AI Adoption in India** 2. **AI as Rakshak: Examining the Transformative Promise, Ethical Challenges, and Policy Imperatives of Artificial Intelligence in the Indian Context** 3. **From Thr...

Sudhakar Geruganti · 0 citations
#small language model Open access Sep 2026

Context-Aware LLM-Guided Neighbourhood Search for Simulation-Based Production Scheduling

The paper presents a novel large language model-based neighbourhood search method for production scheduling using discrete-event simulation (DES) as the modelling and evaluation engine. The combination of large language models (LLMs) and DES represents a relatively new area of research with significant potential. The c...

Róbert Skapinyecz · 0 citations
#small language model Open access Sep 2026

PREreview of "What Does an LLM Learn from Reinforcement Learning? A Mechanistic Interpretability Perspective with Fixed-SAE Track"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22775771. Summary The authors tackle a real obstacle in interpretability: you can't compare SAE features across training checkpoints, because separately trained dictionaries assign...

Sneh Pankajbhai Vora · 0 citations
#small language model Open access Sep 2026

FinRL-DeepSeek Revisited: A Reproduction and Multi-Seed Robustness Analysis of LLM-Infused Risk-Sensitive Trading Agents

We reproduce and extend FinRL-DeepSeek (Benhenda, 2025), a trading framework combining Proximal Policy Optimization (PPO) (Schulman et al., 2017), Conditional Value-at-Risk (CVaR) constraints (Rockafellar and Uryasev, 2000), and large language model (LLM) signals extracted from financial news. Using the Nasdaq-100 univ...

Viany Arnold MBOUYOM LEUMALE · 0 citations
#small language model Open access Sep 2026

Classifier-Grounded Small Language Models for Predictive Maintenance

Machine Health Copilot is a predictive-maintenance system designed to make machine-learning diagnostics more useful and trustworthy for equipment operators. The system separates prediction from explanation: a numerical model determines the machine's condition, while the language layer is grounded in that structured ass...

Ananya Tripathi, Haricharan S. Mylaraiah · 0 citations
#small language model Open access Sep 2026

What Separates the Mean from the Median Is Itô's Second-Order Term Itself ── At mu=0.10, sigma=0.20 and T=1 the mean is 110.517091808 and the median 108.328706767, a ratio of 1.020201340 agreeing with exp(sigma^2T/2) to 12 digits ── the growth of the mean logarithm is 0.080000000000, exactly mu-sigma^2/2 ── doubling sigma multiplies the gap by 4.122849, and at sigma=0 it vanishes ── [Paper 495]

The -sigma^2/2 of Black-Scholes is sometimes read as a correction for discounting or risk aversion. This paper shows that it is Itô’s second-order term itself, measurable directly as the gap between mean and median──the ratio agrees with exp(sigma^2T/2) to 12 digits. No new theorem or law is claimed. Scope of this pape...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Association between depression and compliance to treatment of tuberculosis and its outcomes: a systematic review and meta-analysis

Depression is common among people with tuberculosis (TB) and may undermine adherence and end-of-treatment success. We quantified the association between depression and adverse TB outcomes, including non-compliance. Following PRISMA 2020, we searched PubMed, Embase, PsycINFO, Web of Science, Scopus, and WHO Global Index...

Jiahong Han, Fan Yang, Jing Wang et al. · 0 citations
#small language model Open access Sep 2026

Michell's Radius Was Right, but Not for the Reason It Gave ── Setting the Newtonian escape velocity to c yields 2GM/c^2, differing from the Schwarzschild radius by 0.000x10^0 m ── yet the same method applied to light bending gives 0.8758 arcseconds, exactly half of general relativity's 1.7516 ── the agreement holds at one point only, and dimensional analysis alone does not even fix the factor 2 ── [Paper 485]

When the same expression appears, the two are taken to be saying the same thing. This paper shows that two derivations agreeing exactly at one point are off by a factor of 2 at the next──agreement is not evidence of a shared root. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Research and Analysis of Dataset and Model Evaluation Limitations and Optimization Solutions Based on the Anchor-Point Evaluation Method

From the perspective of the current development trend of large language models, full evaluation on complete test sets entails high computational, time, and financial costs and cannot meet the need for frequent and rapid testing. Anchor-point evaluation relies on a small number of representative anchor samples to approx...

Jinjin Han · 0 citations
#small language model Open access Sep 2026

**A Multidisciplinary Investigation into the Promise, Challenges, and Policy Imperatives of Artificial Intelligence in India — Integrating the Perspectives of Industry Leaders Anand Mahindra and Nandan Nilekani with Contemporary Debates on Ethics, Inclusion, Sovereignty, and Sustainable Technological Development** ---

--- ## Alternative Titles 1. **The New Electricity: Artificial Intelligence as Protector of Future Welfare — An Analytical Study of AI Adoption in India** 2. **AI as Rakshak: Examining the Transformative Promise, Ethical Challenges, and Policy Imperatives of Artificial Intelligence in the Indian Context** 3. **From Thr...

Sudhakar Geruganti · 0 citations
#small language model Book Open access Sep 2026

Large-Model-Enabled UAV Inspection for Transmission Lines: A Vision-Language Reasoning and Lightweight Detection Framework

Unmanned Aerial Vehicle (UAV) inspection has become an important technical approach for improving the safety, efficiency, and traceability of transmission-line operation and maintenance. However, automatic interpretation of UAV images remains difficult because transmission-line defects are often small, partially occlud...

Jun Dong, Jundong Huang, Kunpeng Liu et al. · 0 citations

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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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