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...
This article presents a red-teaming study of Claude Opus and ChatGPT as security advisors for Trusted Execution Environments (TEEs), high...
This paper investigates how AI-generated pull requests integrate into human-led code review processes, emphasizing the importance of coll...
The paper presents CaReFlow, a novel approach for multimodal fusion that addresses modality gaps using cyclic adaptive rectified flow, en...
Ani3DHuman presents a novel framework for photorealistic 3D human animation, combining kinematics-based methods with video diffusion prio...
The paper presents IAPO, a novel framework for token-efficient reasoning in large language models, enhancing accuracy while reducing infe...
The paper presents MultiDiffSense, a diffusion-based model for generating visuo-tactile images conditioned on object shape and contact po...
FUSAR-GPT is a novel visual language model designed for interpreting SAR imagery, enhancing performance through spatiotemporal feature em...
The paper introduces the Next Reply Prediction X Dataset, addressing linguistic discrepancies in content generated by Large Language Mode...
This article presents a data-driven method to map the functional organization of human brain white matter, integrating diffusion and func...
The paper presents CosyAccent, a novel approach to accent normalization that utilizes source-synthesis training data, enhancing naturalne...
This article presents a novel generative framework for simulating point defects in inorganic solids, enhancing structure relaxation proce...
This paper investigates how large language models (LLMs) encode scientific quality using monosemantic features from sparse autoencoders, ...
This paper investigates value entanglement in Large Language Models (LLMs), revealing how moral values influence grammatical and economic...
DeepInnovator proposes a novel training framework to enhance the innovative capabilities of Large Language Models (LLMs) for scientific r...
This article presents a novel unmasking schedule for diffusion language models (DLMs) that adapts to the intrinsic dependence of data dis...
This paper presents a novel kernel method for generative modeling that eliminates the need for training neural networks, utilizing linear...
This pilot study explores the orchestration of LLM agents in scientific research, focusing on the generation and evaluation of multiple-c...
SceneTok introduces a novel tokenizer that compresses 3D scene representations into a set of diffusable tokens, achieving superior compre...
The paper presents FOCA, a novel framework for detecting and localizing image forgery using a multi-modal large language model that integ...
This article presents the Structure-Level Disentangled Diffusion Model (SLD-Font) for few-shot Chinese font generation, enhancing style f...
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