Image, video, audio, and text generation
It wasn't the massive bills or the legal liabilities arising from rampant copyright infringement that inspired OpenAI to kill Sora.
Creatives want to start labeling human-made text, images, audio, and video with AI-free logos. Now they just have to pick one.
There’s been a lot of discussion recently about how expensive AI video generation is compared to text, and it feels like this is more tha...
![[2602.17949] CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
CUICurate introduces a GraphRAG framework for automated curation of clinical concepts in NLP, enhancing efficiency and accuracy in clinic...
This paper explores the concept of noise-agnostic generative models, specifically diffusion models, and argues that they do not require e...
This paper evaluates the enhancement of scientific literature chatbots using retrieval-augmented generation (RAG), comparing vector and g...
This paper presents a novel framework for decoding in language models, proposing that decoding should be viewed as a principled optimizat...
QueryPlot introduces a framework for generating geological evidence layers using natural language queries, enhancing mineral exploration ...
This article presents a probabilistic framework for discovering mechanistic models using large language models (LLMs), introducing an alg...
The paper introduces NeuroSQL, a novel generative model that eliminates auxiliary networks, achieving superior image quality and reduced ...
This article explores college students' experiences with generative AI in higher education, highlighting the pressures and social dynamic...
The paper introduces a Bakry-Emery Laplacian for Graph Neural Networks (GNNs), enhancing information propagation without altering graph s...
The paper presents DesignAsCode, a framework that enhances graphic design generation by integrating structural editability with visual fi...
The paper presents Continual-NExT, a framework designed to enhance the continual learning capabilities of Dual-to-Dual Multimodal Large L...
The article discusses the implementation of a Cloud Run Hub for stabilizing Gemini Enterprise A2A interactions across multiple projects a...
This article evaluates the effectiveness of large language models (LLMs) in providing support for survivors of technology-facilitated abu...
The paper introduces NIMMGen, a framework for learning neural-integrated mechanistic models using large language models (LLMs), addressin...
This study analyzes university students' experiences with AI hallucinations, revealing detection strategies and misconceptions about thei...
This paper introduces OMAD, an innovative Online Multi-Agent Reinforcement Learning framework utilizing diffusion policies to enhance coo...
The Token Games introduces a novel evaluation framework for language models, using puzzle duels to assess reasoning capabilities without ...
This article explores the use of transformer-based GANs for augmenting financial time series data, enhancing predictive accuracy in forec...
This paper explores the memorization phenomena in diffusion models, introducing a geometric framework that identifies risk levels across ...
MePoly introduces a novel polynomial energy-based model for policy optimization in stochastic control, enhancing multi-modality represent...
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