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 explores how Large Language Models (LLMs) can achieve superintelligence through the Diligent Learner framework, emphasizing the...
The paper introduces AgentOS, a conceptual framework that transitions Large Language Models from static inference engines to dynamic cogn...
This article presents the HELP framework, which enhances Retrieval-Augmented Generation (RAG) by addressing knowledge boundaries and hall...
The paper presents Qwen-BIM, a large language model tailored for BIM-based design, introducing a domain-specific benchmark and dataset th...
This paper presents a pipeline for verifying mathematical solutions generated by Large Language Models (LLMs), emphasizing both automatic...
The paper presents CHESS, a novel KV-cache management system designed for long-context LLM inference, enhancing efficiency and throughput...
The paper introduces Counterfactual Simulation Training (CST), a method designed to enhance Chain-of-Thought (CoT) faithfulness in large ...
The paper presents PromptCD, a method for enhancing AI behavior at test time using polarity-prompt contrastive decoding, improving alignm...
The Recursive Belief Vision Language Model (RB-VLA) addresses limitations in current vision-language-action models by introducing a belie...
This paper explores a data-centric framework for optimizing verbalization in LLM-based recommendation systems, enhancing recommendation a...
The paper presents MIMIC, a framework that enhances human-AI coordination by using inner speech to guide behavior imitation in artificial...
The paper presents a novel approach, Diffusion Modulation via Environment Mechanism Modeling (DMEMM), to enhance trajectory generation in...
This article presents RARE-PHENIX, an AI framework designed for end-to-end phenotyping of rare diseases from clinical notes, utilizing la...
The article discusses the importance of knowledge in maximizing the creative potential of AI tools, suggesting that informed users will a...
The article discusses a Pentagon meeting involving Defense Secretary Pete Hegseth, former Uber executive Emil Michael, and private equity...
The Pentagon has issued an ultimatum to AI firm Anthropic, demanding the removal of military use restrictions on its Claude AI by Friday ...
India's AI market is witnessing a pivotal shift as tech firms transition from free offerings to monetization strategies, testing user con...
The article discusses the integration of AI into Linux shell commands, suggesting that AI can enhance user experience by simplifying comp...
The article explores Anthropic's complex negotiations with the Pentagon regarding AI safety and ethical concerns, highlighting the implic...
Spanish startup Multiverse Computing has launched a free compressed version of its HyperNova 60B AI model, claiming it outperforms Mistra...
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