Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models

HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs

CamCloneMaster: Enabling Reference-based Camera Control for Video Generation

EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

InteractMove: Text-Controlled Human-Object Interaction Generation in 3D Scenes with Movable Objects

WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance

Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making

GroupRank: A Groupwise Reranking Paradigm Driven by Reinforcement Learning

MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation

TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models

Part-X-MLLM: Part-aware 3D Multimodal Large Language Model

Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data

P1: Mastering Physics Olympiads with Reinforcement Learning

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption

Latent Diffusion Model without Variational Autoencoder

RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap

MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism

Virtual Width Networks

AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery

UI2CodeN: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation

GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation

DoPE: Denoising Rotary Position Embedding

BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model

Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment

Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO

Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models

HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses through Reasoning MLLMs

CamCloneMaster: Enabling Reference-based Camera Control for Video Generation

EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

InteractMove: Text-Controlled Human-Object Interaction Generation in 3D Scenes with Movable Objects

WebCoach: Self-Evolving Web Agents with Cross-Session Memory Guidance

Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making

GroupRank: A Groupwise Reranking Paradigm Driven by Reinforcement Learning

MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation

TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models

Part-X-MLLM: Part-aware 3D Multimodal Large Language Model

Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data

P1: Mastering Physics Olympiads with Reinforcement Learning

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption

Latent Diffusion Model without Variational Autoencoder

RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

Voice Evaluation of Reasoning Ability: Diagnosing the Modality-Induced Performance Gap

MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism

Virtual Width Networks

AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery

UI2CodeN: A Visual Language Model for Test-Time Scalable Interactive UI-to-Code Generation

GGBench: A Geometric Generative Reasoning Benchmark for Unified Multimodal Models

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation

DoPE: Denoising Rotary Position Embedding

BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model

Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network

SAC Flow: Sample-Efficient Reinforcement Learning of Flow-Based Policies via Velocity-Reparameterized Sequential Modeling

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment

Hail to the Thief: Exploring Attacks and Defenses in Decentralised GRPO