AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models

Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle

TritonZ: A Remotely Operated Underwater Rover with Manipulator Arm for Exploration and Rescue Operations

ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

RLPR: Extrapolating RLVR to General Domains without Verifiers

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

Light of Normals: Unified Feature Representation for Universal Photometric Stereo

Predicting cellular responses to perturbation across diverse contexts with State

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity

Optimizing Multilingual Text-To-Speech with Accents & Emotions

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation

SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning

All is Not Lost: LLM Recovery without Checkpoints

Sundial: A Family of Highly Capable Time Series Foundation Models

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems

Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction

Show-o2: Improved Native Unified Multimodal Models

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection

s1: Simple test-time scaling

Search-o1: Agentic Search-Enhanced Large Reasoning Models

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models

Learning Approach to Efficient Vision-based Active Tracking of a Flying Target by an Unmanned Aerial Vehicle

TritonZ: A Remotely Operated Underwater Rover with Manipulator Arm for Exploration and Rescue Operations

ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset

RLPR: Extrapolating RLVR to General Domains without Verifiers

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

Light of Normals: Unified Feature Representation for Universal Photometric Stereo

Predicting cellular responses to perturbation across diverse contexts with State

CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity

Optimizing Multilingual Text-To-Speech with Accents & Emotions

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models

Vision-Guided Chunking Is All You Need: Enhancing RAG with Multimodal Document Understanding

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation

SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning

All is Not Lost: LLM Recovery without Checkpoints

Sundial: A Family of Highly Capable Time Series Foundation Models

ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems

Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction

Show-o2: Improved Native Unified Multimodal Models

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

EmoNet-Voice: A Fine-Grained, Expert-Verified Benchmark for Speech Emotion Detection

s1: Simple test-time scaling

Search-o1: Agentic Search-Enhanced Large Reasoning Models

LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale