Image, video, audio, and text generation
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...
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
![[2603.10202] Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Approach with Jump-Diffusion](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2603.10202: Hybrid Hidden Markov Model for Modeling Equity Excess Growth Rate Dynamics: A Discrete-State Ap...
The paper presents AdaWorldPolicy, a novel framework for robotic manipulation that utilizes world models and online adaptive learning to ...
AgenticSum presents a novel framework for improving clinical text summarization using large language models, focusing on reducing factual...
The article discusses NanoKnow, a benchmark dataset designed to understand how large language models (LLMs) acquire knowledge, using the ...
This article presents a framework for assessing the risks associated with using large language models (LLMs) in mental health support, hi...
This paper investigates the limitations of modern text-to-image models as reliable training data generators, revealing a decline in class...
The paper presents MAS-FIRE, a framework for evaluating the reliability of LLM-based Multi-Agent Systems through fault injection, address...
The paper presents Depth-Structured Music Recurrence (DSMR), a novel approach for symbolic music modeling that optimizes long-context pro...
The paper proposes Carbon-Aware Governance Gates (CAGG) to integrate sustainability into Generative AI development, addressing the increa...
This article presents workflow-level design principles for integrating trustworthy Generative AI in automotive system engineering, addres...
The paper presents Manifold-Aligned Generative Transport (MAGT), a novel generative model that efficiently samples from high-dimensional ...
This article discusses a novel approach to concept erasure in text-to-image diffusion models, focusing on High-Level Representation Misdi...
PedaCo-Gen is a novel AI system designed to enhance the quality of instructional video creation by integrating pedagogical principles and...
This paper introduces Relational Feature Caching (RFC) to enhance the efficiency of diffusion transformers by improving feature predictio...
The paper presents Laplacian Multi-scale Flow Matching (LapFlow), a new framework for image generative modeling that enhances flow matchi...
The paper presents CTC-TTS, a novel dual-streaming text-to-speech system that utilizes a CTC-based aligner for improved text-speech align...
DICArt introduces a novel framework for category-level articulated object pose estimation, utilizing a discrete diffusion process to enha...
The paper presents a novel approach to active search using cost-aware diffusion models, improving efficiency in decision-making for auton...
This article surveys the integration of Large Language Models (LLMs) in Uncrewed Aerial Vehicles (UAVs), exploring their potential to enh...
This article introduces ContentBench, a benchmark suite assessing the ability of low-cost large language models (LLMs) to perform interpr...
This article investigates procedural hallucinations in language models, identifying specific attention deficits that lead to errors in ex...
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