KI-Forschungspapiere Täglich

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Video-T1: Test-Time Scaling for Video Generation

Position: Interactive Generative Video as Next-Generation Game Engine

SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Aether: Geometric-Aware Unified World Modeling

OmnimatteZero: Training-free Real-time Omnimatte with Pre-trained Video Diffusion Models

AgentRxiv: Towards Collaborative Autonomous Research

CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Judge Anything: MLLM as a Judge Across Any Modality

Defeating Prompt Injections by Design

Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning

FFN Fusion: Rethinking Sequential Computation in Large Language Models

Equivariant Image Modeling

Reasoning to Learn from Latent Thoughts

Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models

LEMMA: Learning from Errors for MatheMatical Advancement in LLMs

Optimized Minimal 3D Gaussian Splatting

Training-free Diffusion Acceleration with Bottleneck Sampling

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models

AlphaSpace: Enabling Robotic Actions through Semantic Tokenization and Symbolic Reasoning

MagicComp: Training-free Dual-Phase Refinement for Compositional Video Generation

Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?

Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering

AMD-Hummingbird: Towards an Efficient Text-to-Video Model

V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms

Variance Control via Weight Rescaling in LLM Pre-training

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse

Instruct-CLIP: Improving Instruction-Guided Image Editing with Automated Data Refinement Using Contrastive Learning

Mind with Eyes: from Language Reasoning to Multimodal Reasoning

CODA: Repurposing Continuous VAEs for Discrete Tokenization

RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation

Verbal Process Supervision Elicits Better Coding Agents

Human Motion Unlearning

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction

Rethinking Image Evaluation in Super-Resolution

Global-Local Tree Search for Language Guided 3D Scene Generation

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding