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 introduces AdsorbFlow, a deterministic generative model that enhances the efficiency of adsorbate placement on catalytic surfac...
The paper presents DGPO, a method for neural architecture generation using reinforcement learning to optimize directed graph diffusion mo...
This article explores how AI is reshaping science learning materials, enhancing personalization, accessibility, and interactivity while a...
This article explores the transformative impact of AI on science education, highlighting changes in educational practices and the need fo...
This article evaluates the effectiveness of multimodal large language models (LLMs) in analyzing K-12 science classroom discourse, reveal...
This article evaluates the reliability of persona-conditioned large language models (LLMs) as synthetic survey respondents, revealing tha...
This article presents a novel method for generating training data for reinforcement learning using symbolic representations, enhancing th...
This article discusses the shift from bias mitigation to bias negotiation in generative AI, emphasizing the need for ethical governance o...
This article examines the impact of AI-generated search summaries on website traffic, specifically analyzing how Google's AI Overviews af...
This article discusses the development of a Multi-Agent System (MAS) that automates the generation of science assessments aligned with th...
The paper presents a novel diffusion-based framework for optimizing prompts in language models, enhancing performance through iterative r...
The paper introduces ReportLogic, a benchmark for evaluating the logical quality of reports generated by Large Language Models (LLMs), fo...
This study evaluates the effectiveness of large language models (LLMs) in generating subject lines for mental health counseling emails, h...
The paper presents FineRef, a novel framework for improving citation accuracy in long-form generation by addressing citation mismatch and...
The paper presents Inverse-distilled Diffusion Language Models (IDLM), a method that significantly accelerates inference in text generati...
This article presents a novel approach to addressing intransitive preferences in multi-objective preference fine-tuning (PFT) through a g...
This article presents a framework for mapping 2D drawing annotations to 3D CAD features using context-aware reasoning, enhancing manufact...
The paper presents NI-Tex, a method for generating non-isometric garment textures using a new dataset and advanced techniques for cross-p...
This paper explores iterative feedback loops in image generative models, introducing the concept of neural resonance and its implications...
This article presents a novel approach to inverse lithography using generative reinforcement learning, significantly improving mask quali...
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