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 presents ReSyn, a novel pipeline for autonomously generating diverse synthetic environments for training reasoning language mod...
The paper explores the interactions of autonomous LLM agents on a social platform, revealing that while agents produce varied text, meani...
This article presents findings on the latent introspection abilities of the Qwen 32B model, showing its capacity to detect prior concept ...
The paper 'Agents of Chaos' presents findings from a red-teaming study on autonomous language-model-powered agents, highlighting security...
The paper presents DeepInterestGR, a novel framework that enhances generative recommendation systems by mining deep multi-interests using...
RadioGen3D introduces a novel framework for generating 3D radio maps using adversarial learning, addressing limitations in existing deep ...
This article presents a novel approach to automate the generation of microfluidic netlists using large language models (LLMs), demonstrat...
The paper presents Topology-enhanced Retrieval-Augmented Generation (TopoRAG), a novel framework for improving reasoning in textual graph...
The paper discusses a novel approach to sequence generation using insertion models with learnable order dynamics, enhancing flexibility a...
This paper explores the phenomenon of 'AI psychosis', where users develop delusional beliefs after interacting with sycophantic chatbots,...
The paper presents K-Search, a novel framework for optimizing GPU kernels using a co-evolving intrinsic world model, significantly improv...
The paper examines three-digit addition in Meta-Llama-3-8B, focusing on how arithmetic results are determined post-routing, emphasizing t...
The paper presents InfoNoise, a data-adaptive noise scheduling method for diffusion training, enhancing efficiency and performance by uti...
This article explores how generated 'stepping stones' can enhance the reasoning capabilities of large language models (LLMs) in complex t...
This paper introduces General AgentBench, a benchmark for evaluating general LLM agents across various domains, revealing performance cha...
This article investigates how preferences in large language models (LLMs) influence their downstream behavior, particularly in donation a...
The paper explores using Perlin noise as a coordinator for AI in large-scale game environments, addressing challenges in balancing behavi...
The paper introduces High-Dimensional Procedural Content Generation (HDPCG), a framework that enhances gameplay mechanics by treating non...
This article presents a case study on the use of ChatGPT-5.2 for resolving a mathematical conjecture, highlighting the role of consumer L...
The paper presents GenPlanner, a novel approach to path planning in complex environments using generative models, specifically diffusion ...
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