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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
The article discusses the relevance of Integrated Development Environments (IDEs) in the context of autonomous AI development, highlighti...
An experiment in game development where the author created a fully playable FPS, 'Zombie Slayer,' using only AI-generated prompts without...
This article presents a comprehensive study on prefill attacks in open-weight LLMs, revealing a near-perfect success rate across 50 model...
The article discusses the development of an AI chatbot, Chumi, that simulates conversations with over 3,500 historical figures, emphasizi...
A user seeks AI software capable of generating new documents based on existing templates and client documents, emphasizing the need for s...
The article discusses the contradictory narratives surrounding AI in various industries, highlighting how stakeholders often misrepresent...
PwC and Anthropic announce a collaboration to deploy Enterprise AI Agents in finance and life sciences, enhancing regulated workflows wit...
The article discusses the current leadership debate in the AI chatbot market, focusing on OpenAI's ChatGPT and its competition, highlight...
The discussion explores AI models that could outperform commercial ones, focusing on efficiency and performance of various approaches, in...
The paper presents PepMorph, a novel peptide discovery pipeline that utilizes masked conditional generative modeling to predict peptide s...
The paper presents a novel watermarking framework for language models using error correcting codes, ensuring robust detection of machine-...
ContextPilot introduces a novel approach to accelerate long-context inference in AI, enhancing reasoning quality while reducing latency t...
The paper introduces Recursive Self-Aggregation (RSA), a novel method for enhancing large language models' performance through improved i...
The paper introduces One-Step Flow Q-Learning (OFQL), a novel framework that improves offline reinforcement learning by enabling one-step...
This paper introduces a novel approach to discrete flow matching using minibatch optimal transport, enhancing generative performance whil...
The paper presents a novel approach to language model distillation by introducing a tail-aware divergence that enhances the influence of ...
The paper presents STAR-LDM, a novel language model that integrates latent diffusion planning with autoregressive generation, enhancing n...
The paper presents DiffuNovo, a novel regressor-guided diffusion model for de novo peptide sequencing that incorporates explicit mass con...
The paper presents OrgFlow, a generative model designed to predict organic crystal structures from molecular graphs, addressing a signifi...
This article presents advancements in discrete diffusion models, introducing Predictor-Corrector samplers that enhance sampling efficienc...
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