AI Research Papers Daily

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

ZClip: Adaptive Spike Mitigation for LLM Pre-Training

Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Inference-Time Scaling for Generalist Reward Modeling

JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization

Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation

WikiVideo: Article Generation from Multiple Videos

SkyReels-A2: Compose Anything in Video Diffusion Transformers

Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme

Scaling Analysis of Interleaved Speech-Text Language Models

ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers

FreSca: Unveiling the Scaling Space in Diffusion Models

Efficient Model Selection for Time Series Forecasting via LLMs

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning

Scaling Laws in Scientific Discovery with AI and Robot Scientists

Interpreting Emergent Planning in Model-Free Reinforcement Learning

NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages

Instruction-Guided Autoregressive Neural Network Parameter Generation

Scene-Centric Unsupervised Panoptic Segmentation