Skip to content

Category

small language model

3,468 papers

#natural language process... Preprint Sep 2026

FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation

FAVoR (Federated Authorial Voice Retention), an author-style residual mechanism for federated PEFT, improves author-style retention over standard and personalized federated PEFT baselines and is supported by component ablations, external verification, and cold-start transfer.

Lu-Lu Han, Jing-Yao Zhang, Katy Ilonka Gero et al. · 0 citations
#natural language process... Preprint Sep 2026

ToolSearcher: Optimizing Tool Selection at Scale via Reinforcement Learning

This work proposes ToolSearcher, a novel RL framework for effective multi-turn search and fine-grained optimization in large-scale tool selection, which introduces category-constrained tool discrimination to improve the model's ability to distinguish functionally similar tools.

Zhen-Long Dai, Xu-Jie Song, Zi-Tong Wang et al. · 0 citations

Evidence-Grounded Auditing of Identification Assumptions in Climate-Policy Causal Evaluations

Difference-in-differences (DID) studies are widely used to evaluate climate policy, but assessing the evidence supporting their identification assumptions remains challenging. We introduce ARGUS, a structured language-model pipeline that audits reported evidence against an eleven-dimension assumption-implication-eviden...

Yong-Hong Zhang, Yong Xie, Isabel M. Parra et al. · 0 citations
#machine learning Preprint Sep 2026

Nonparametric In-Context Learning under Growing Geometric Complexity: Minimax Optimality and Local Geometry-Adaptivity of Transformers

These results identify conditions under which the resulting predictor exploits local geometry and attains the aggregate minimax rate, and derive an in-context generalization bound for near empirical risk minimizers over this class.

J. Seo, Jisu Kim · 0 citations
#machine learning Preprint Sep 2026

Benchmarking Attention for Tabular Foundation Models

It is found that the optimal backend choice differs between column and row attention and varies across hardware as well as model specifics: While the FlashAttention implementations tailored for each GPU generation perform overall best, they are at times outperformed by CuDNN in the case of column attention at longer se...

Maximilian Schambach, Clemens Biehl, Sam Thelin · 0 citations
#machine learning Conference Open access Sep 2026

Audio emotion recognition for atypical hearing

This research focuses on auditory hypersensitivity in people with autism, a phenomenon that is often difficult to evaluate and unique to each individual.

Ulysse Roussel · 0 citations
#machine learning Preprint Sep 2026

Reinforcement Learning of Communication in a Mesh of Small Language Models

TalkMesh, a decentralized mesh of small language model agents that learns when and what to communicate is presented, a decentralized mesh of small language model agents that reaches the accuracy of majority voting over 32 samples with each of three models.

Mehmet Kerem Türkcan · 0 citations
#machine learning Review Sep 2026

Fake News Theories: Harnessing Disciplinary Insights for Computational Modeling, Detection, and Explanation

Disinformation research has produced increasingly accurate automated fake-news detectors, but many systems remain difficult to interpret and are weakly connected to established theories of persuasion, credibility, and human judgment. In this paper, we develop a theory-informed computational framework that translates cr...

Zhao-Yang Cao, Miriam J. Metzger, Reza Zafarani · 0 citations
#machine learning Preprint Sep 2026

Adaptive Multi-Value Control in LLMs via Causal Activation Steering

Large language models (LLMs) are increasingly deployed in settings where responses must reflect multiple, potentially interacting social norms and human values. Activation steering offers a lightweight alternative to training-based alignment by modifying internal activations at inference time. However, prior human-valu...

Payel Bhattacharjee, Ravi Tandon · 0 citations
#artificial intelligence Preprint Sep 2026

Can You Check That? The Checkability Boundary for Local LLM Network Automation

This work introduces checkability as a criterion for determining which tasks are suitable for local inference, in Touchstone, a local-first pipeline that uses seven off-the-shelf SLMs (1-8B parameters) to generate candidates, uses task-specific intrinsic checks to reject responses, and escalates unresolved inputs to a...

Maleeha Masood, Momina Nofal · 0 citations

From tech blogs

See all →

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