Image, video, audio, and text generation
![[2512.23994] PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Abstract page for arXiv paper 2512.23994: PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-A...
Abstract page for arXiv paper 2512.10785: Developing and Evaluating a Large Language Model-Based Automated Feedback System Grounded in Ev...
Abstract page for arXiv paper 2510.13870: Unlocking the Potential of Diffusion Language Models through Template Infilling
This article presents a novel meta-cognitive framework aimed at enhancing knowledge augmentation in Large Language Models (LLMs), address...
This article examines how the availability of knowledge influences the persuasiveness of generative social agents (GSAs) in physiotherapy...
The article explores design requirements for generative social robots in higher education, emphasizing the need for knowledge-based frame...
The paper presents Amortized Reasoning Tree Search (ARTS), a novel approach to enhance reasoning in Large Language Models by decoupling p...
The paper presents FLAC, a novel framework for Maximum Entropy Reinforcement Learning that utilizes kinetic energy regularization to opti...
This article explores how AI's machine identity influences humor perception in online stand-up comedy, revealing that AI can be perceived...
MedXIAOHE is a medical vision-language foundation model that enhances medical understanding and reasoning in clinical applications, achie...
The paper presents SLA2, an advanced Sparse-Linear Attention model that enhances video generation efficiency by introducing a learnable r...
This article presents a novel approach to reinforcement learning by reinterpreting the partition function as a difficulty scheduler, enha...
This paper presents a novel framework, Stage-MCTS, which enhances small language models' ability to generate NoSQL queries through conver...
The paper presents a novel approach to RNA design using language models, reframing the task as conditional sequence generation, which sig...
The paper introduces RankLLM, a framework for evaluating large language models (LLMs) by quantifying question difficulty, enhancing model...
This article presents a reproducibility study of DragDiffusion, a method for interactive point-based image editing using diffusion models...
This article presents a multi-agent framework for generating physics simulation code from natural language descriptions, introducing a no...
The paper introduces OmniCustom, a novel framework for synchronizing audio-video customization, enhancing identity and timbre fidelity th...
This article evaluates the robustness of large reasoning models against multi-turn adversarial attacks, revealing vulnerabilities and pro...
This paper introduces McDiffuSE, a Monte Carlo Tree Search framework aimed at optimizing slot filling orders in Masked Diffusion Models, ...
This paper explores the effectiveness of multi-domain reinforcement learning for large language models, comparing mixed multi-task traini...
The article discusses the potential of customizable AI companions that can engage in real-time video calls, leveraging technologies like ...
The discussion compares Qwen3.5 and DeepSeek, two AI models released around the same time, highlighting user excitement and potential app...
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