KI-Forschungspapiere Täglich

MoCha: Towards Movie-Grade Talking Character Synthesis

TextCrafter: Accurately Rendering Multiple Texts in Complex Visual Scenes

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

Efficient Inference for Large Reasoning Models: A Survey

TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization

Unicorn: Text-Only Data Synthesis for Vision Language Model Training

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

SketchVideo: Sketch-based Video Generation and Editing

Effectively Controlling Reasoning Models through Thinking Intervention

Expanding RL with Verifiable Rewards Across Diverse Domains

Query and Conquer: Execution-Guided SQL Generation

Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data

TeleAntiFraud-28k: A Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models

Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code

AvatarArtist: Open-Domain 4D Avatarization

Easi3R: Estimating Disentangled Motion from DUSt3R Without Training

MeshCraft: Exploring Efficient and Controllable Mesh Generation with Flow-based DiTs

DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness

UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation

Entropy-Based Adaptive Weighting for Self-Training

KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language

Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization

PAVE: Patching and Adapting Video Large Language Models

Decoupling Angles and Strength in Low-rank Adaptation

Understanding Co-speech Gestures in-the-wild