Category
3,629 papers
A audit of AI housing recommendation against a verifiable ground truth, characterize the failure as compliance without optimization, propose dominance-rate instrumentation as a deployable diagnostic, and release all code, prompts and per-call results.
It is tested whether models in this deployment-relevant 2--8B range carry genuine taxonomic knowledge, evaluating four such VLMs against the domain-specific specialist BioCLIP on a 96-species task, and comparing clean iNaturalist photographs against camera-trap imagery from 6 LILA.
Results show that CoSTAR enables small, locally deployable LLMs to achieve performance competitive with substantially larger LLMs for privacy-sensitive COBOL legacy systems.
ASL-sCoV may serve as an important hemodynamic measure for identifying perfusion deficits tied to SVD burden and progression and could provide substantial insight into the longitudinal clinical consequences of SVD.
Reach audiences
Advertise in front of researchers, engineers, and readers.
We post-train Qwen3.8-27B for Korean response style -- verbosity, list and markdown usage, discourse structure and register -- and measure two behaviours the objective never targets: abstention on ambiguous social questions in KoBBQ, where the benchmark-correct answer is UNKNOWN, and unprompted disclosure in securities...
This work presents team FPMs_UMONS’s system for RecSys Challenge 2026 — hybrid four-channel retrieval, LLM reranking, and conversation-grounded response generation — and the lessons, negative results included, learned building it.
Abstract Introduction Generative AI models are large language models capable of interacting with humans in a man–machine interface. Endowed with extensive training on an expansive corpus of textual data, these GPTs excel across diverse domains, notably in the realms of medicine and healthcare. Generative AIs like ChatG...
This study analyzes 8,181 papers on Chinese linguistics published in Peking University Core Linguistics Journals between 2016 and 2025 through a Codex-based bibliometric approach, examining the research productivity, scholarly community, knowledge structure, and research frontiers of Chinese linguistics over the past d...
Current evidence supports AI as a promising but clinically unproven adjunct to AMS, but the literature’s emphasis on algorithmic accuracy over demonstrated clinical effectiveness means AI should not yet be treated as validated stewardship infrastructure.
AlignCP is proposed, a framework that reconciles supervised few-shot adaptation with conformal uncertainty estimation under non-exchangeability and learns a reweighted calibration distribution that reduces the score-level discrepancy between the labeled support set and the unlabeled query set.
A multi-agent system in which a CNN cascade handles the easy majority and a VLM is invoked only as a selective arbiter, constrained to a top-3 taxonomy-consistent choice is presented.
QUAKE-CD represents binary change masks as grammar-constrained quadtree token sequences, making the masks compact, syntactically checkable, and deterministically decodable within an autoregressive generation space.
A Blog post by NVIDIA on Hugging Face
Data Mining & Modeling
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by IBM Granite on Hugging Face
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
