LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search

Scaling Large Language Models for Next-Generation Single-Cell Analysis

A Survey of Vibe Coding with Large Language Models

Detect Anything via Next Point Prediction

Scaling Language-Centric Omnimodal Representation Learning

DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation

Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training

Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model

Asking Clarifying Questions for Preference Elicitation With Large Language Models

CTRL-Rec: Controlling Recommender Systems With Natural Language

RLFR: Extending Reinforcement Learning for LLMs with Flow Environment

Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities

Diffusion Transformers with Representation Autoencoders

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

Inverse-Free Wilson Loops for Transformers: A Practical Diagnostic for Invariance and Order Sensitivity

TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture

R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

AutoPR: Let's Automate Your Academic Promotion!

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling

Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

Code2Video: A Code-centric Paradigm for Educational Video Generation

Dr. Bias: Social Disparities in AI-Powered Medical Guidance

The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton

LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search

Scaling Large Language Models for Next-Generation Single-Cell Analysis

A Survey of Vibe Coding with Large Language Models

Detect Anything via Next Point Prediction

Scaling Language-Centric Omnimodal Representation Learning

DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation

Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training

Spatial Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model

Asking Clarifying Questions for Preference Elicitation With Large Language Models

CTRL-Rec: Controlling Recommender Systems With Natural Language

RLFR: Extending Reinforcement Learning for LLMs with Flow Environment

Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

BEAR: Benchmarking and Enhancing Multimodal Language Models for Atomic Embodied Capabilities

Diffusion Transformers with Representation Autoencoders

QeRL: Beyond Efficiency -- Quantization-enhanced Reinforcement Learning for LLMs

Inverse-Free Wilson Loops for Transformers: A Practical Diagnostic for Invariance and Order Sensitivity

TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture

R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

AutoPR: Let's Automate Your Academic Promotion!

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling

Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI

Code2Video: A Code-centric Paradigm for Educational Video Generation

Dr. Bias: Social Disparities in AI-Powered Medical Guidance

The Potential of Second-Order Optimization for LLMs: A Study with Full Gauss-Newton