Using Learning Progressions to Guide AI Feedback for Science Learning

HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations

Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals

Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

The Design Space of Tri-Modal Masked Diffusion Models

CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

RubricBench: Aligning Model-Generated Rubrics with Human Standards

MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

OpenAutoNLU: Open Source AutoML Library for NLU

OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing

Multi-agent cooperation through in-context co-player inference

ACTIONENGINE: From Reactive to Programmatic GUI Agents via State Machine Memory

CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era

Mode Seeking meets Mean Seeking for Fast Long Video Generation

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets

Enhancing Spatial Understanding in Image Generation via Reward Modeling

dLLM: Simple Diffusion Language Modeling

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Imagination Helps Visual Reasoning, But Not Yet in Latent Space

OmniGAIA: Towards Native Omni-Modal AI Agents

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios

From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

The Trinity of Consistency as a Defining Principle for General World Models

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model

ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning

DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation

Using Learning Progressions to Guide AI Feedback for Science Learning

HoMMI: Learning Whole-Body Mobile Manipulation from Human Demonstrations

Density-Guided Response Optimization: Community-Grounded Alignment via Implicit Acceptance Signals

Gravity Falls: A Comparative Analysis of Domain-Generation Algorithm (DGA) Detection Methods for Mobile Device Spearphishing

From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence

The Design Space of Tri-Modal Masked Diffusion Models

CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

RubricBench: Aligning Model-Generated Rubrics with Human Standards

MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

OpenAutoNLU: Open Source AutoML Library for NLU

OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing

Multi-agent cooperation through in-context co-player inference

ACTIONENGINE: From Reactive to Programmatic GUI Agents via State Machine Memory

CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era

Mode Seeking meets Mean Seeking for Fast Long Video Generation

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets

Enhancing Spatial Understanding in Image Generation via Reward Modeling

dLLM: Simple Diffusion Language Modeling

Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization

Imagination Helps Visual Reasoning, But Not Yet in Latent Space

OmniGAIA: Towards Native Omni-Modal AI Agents

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios

From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models

The Trinity of Consistency as a Defining Principle for General World Models

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model

ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning

DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation