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3,243 papers
Retrieval-augmented generation (RAG) grounds a language model in retrieved documents, which reduces hallucination but creates a new attack surface: if retrieved text is tampered with, the model may repeat the falsehood. We study how much a small quantized model, Llama 3.1 8B, degrades when a fraction of its retrieved c...
Tact, a browser-based pipeline that converts a spoken or typed story idea into printable braille with a matching raised tactile illustration, without an account or mandatory cost and with an offline-capable path is presented.
Braille literacy among blind school-age children fell from roughly 50 percent in 1960 to under 10 percent today, and the decline is a content problem, not a technology problem: producing one illustrated Braille page still requires specialized software and trained labor, so almost nothing in the existing catalog is pers...
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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.
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...
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A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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