Image, video, audio, and text generation
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...
Abstract page for arXiv paper 2602.00388: Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode
This paper presents Dynamic Multimodal Activation Steering, a novel approach to mitigate hallucinations in Large Vision-Language Models (...
This article presents a novel causal decoding framework aimed at reducing object hallucination in multimodal large language models (MLLMs...
This paper presents a safety filtering framework for generative models, ensuring generated samples meet hard constraints while minimizing...
The paper presents a novel framework for synthesizing controlled video representations of routine and rare operating room events, address...
The paper explores scaling laws for view synthesis transformers, presenting a new architecture that outperforms previous models in Novel ...
The paper introduces IslamicLegalBench, a benchmark for evaluating LLMs' reasoning on Islamic law, revealing significant limitations in c...
The paper presents a novel approach to speculative decoding in large language models (LLMs), focusing on reusing discarded draft tokens t...
This article explores how pragmatic framing in large language model instructions influences their behavior, introducing a framework to me...
The paper introduces Latent Context Compilation, a novel framework that enhances long-context LLM deployment by distilling long contexts ...
This article presents GraSPer, a novel framework designed to enhance personalized text generation for users with sparse data, addressing ...
This article presents key statistics and insights on the current state and future potential of artificial intelligence (AI) as we approac...
This study investigates how different prompt architectures affect reasoning quality in large language models, specifically addressing the...
The ASIR Courage Model presents a phase-dynamic framework for understanding truth transitions in both human and AI systems, emphasizing t...
The paper explores the limitations of self-correction in Large Language Models (LLMs) regarding semantic sensitive information, introduci...
An AI enthusiast shares a project overview on Reddit, seeking feedback on a front-end tool for memory that integrates with various AI mod...
The author shares their experience of having a voice conversation with a physical AI system, highlighting its contextual understanding an...
Salesforce CEO Marc Benioff reassures investors during the earnings call, emphasizing the company's resilience amid fears of an AI-driven...
Anthropic has acquired Vercept, an AI startup known for developing advanced agentic tools, following the poaching of one of its founders ...
Riley Walz, known for his viral online projects, joins OpenAI to innovate human-AI interaction. His unique skills aim to enhance user exp...
The article discusses the creation of a custom engine for social simulations using LLMs, where agents interact in a controlled environmen...
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime