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 article discusses the evolving effectiveness of LLMs in summarizing research papers, highlighting improvements in quality and usabili...
A second-year AI/ML student seeks a remote internship in machine learning, showcasing skills in NLP, diffusion models, and end-to-end pro...
Anthropic accuses three Chinese AI labs of conducting distillation attacks on its Claude chatbot, claiming they illicitly extracted capab...
Anthropic accuses Chinese developers of stealing AI secrets from its Claude chatbot, sparking criticism over its own data scraping practi...
CrowdStrike reassesses its position in the cybersecurity landscape following the launch of Anthropic's Claude Code Security, an AI tool t...
A thought experiment on Substack predicts a future where AI leads to significant unemployment and economic disruption, causing turmoil in...
The paper introduces Step 3.5 Flash, a sparse Mixture-of-Experts model designed for efficient agentic intelligence with 11B active parame...
The paper presents the Generative Reasoning Re-ranker (GR2), an innovative framework for enhancing recommendation systems using Large Lan...
The paper introduces PyraTok, a language-aligned pyramidal tokenizer designed to enhance video understanding and generation by improving ...
This paper explores the adaptation of Rectified Flow (RF) to low-dimensional target distributions, demonstrating improved sampling effici...
This paper explores the limitations of self-improvement in large language models (LLMs), arguing that without symbolic model synthesis, t...
The paper presents STaRR, a novel framework for responsive remasking in diffusion language models that adapts remasking decisions based o...
The DL$^3$M framework integrates deep learning and large language models to enhance medical reasoning from images, addressing limitations...
This paper evaluates generative control policies in robotics, revealing that their success is due to iterative computation rather than mu...
The paper presents MapReduce LoRA, a novel framework for optimizing generative models by addressing multi-preference alignment issues. It...
StreamDiffusionV2 presents a novel system for dynamic and interactive video generation, enhancing live streaming capabilities through opt...
The paper introduces Debate2Create, a framework for robot co-design that utilizes multi-agent LLM debate to optimize robot morphology and...
This article reviews the state-of-the-art in agentic AI systems within electrical power engineering, providing a taxonomy and practical a...
This paper presents a new framework for evaluating and enhancing long-term memory in large language models (LLMs), introducing the BEAM b...
The paper discusses the development of native Vision-Language Models (VLMs) that integrate vision and language capabilities more effectiv...
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