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Yu Wang

Papers
77

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77papers

Authored papers

77

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey

arXiv 2026

2026

CocoaBench: Evaluating Unified Digital Agents in the Wild

arXiv 2026

2026

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

arXiv 2026

2026

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

arXiv 2026

2026

AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation

arXiv 2026

2026

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

arXiv 2026

2026

Urban Socio-Semantic Segmentation with Vision-Language Reasoning

arXiv 2026

2026

AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization

arXiv 2026

2026

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

arXiv 2026

2026

RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI

arXiv 2026

2026

Can Large Language Models Reinvent Foundational Algorithms?

arXiv 2026

2026

Agentic Reasoning for Large Language Models

arXiv 2026

2026

RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training

arXiv 2025

2025

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

arXiv 2025

2025

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

arXiv 2025

2025

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

arXiv 2025

2025

SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users

arXiv 2025

2025

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

arXiv 2025

2025

RM-R1: Reward Modeling as Reasoning

arXiv 2025

2025

VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments

arXiv 2025

2025

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate

arXiv 2025

2025

Knowledge Homophily in Large Language Models

arXiv 2025

2025

Sleep-time Compute: Beyond Inference Scaling at Test-time

arXiv 2025

2025

EfficientLLM: Efficiency in Large Language Models

arXiv 2025

2025

Megrez-Omni Technical Report

arXiv 2025

2025

MIRIX: Multi-Agent Memory System for LLM-Based Agents

arXiv 2025

2025

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

arXiv 2025

2025

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

arXiv 2025

2025

EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis

arXiv 2025

2025

Cache-to-Cache: Direct Semantic Communication Between Large Language Models

arXiv 2025

2025

M+: Extending MemoryLLM with Scalable Long-Term Memory

arXiv 2025

2025

Holistic Semantic Representation for Navigational Trajectory Generation

arXiv 2025

2025

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases

arXiv 2025

2025

DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation

arXiv 2025

2025

VocalBench: Benchmarking the Vocal Conversational Abilities for Speech Interaction Models

arXiv 2025

2025

RARE: Retrieval-Augmented Reasoning Modeling

arXiv 2025

2025

VocalNet: Speech LLM with Multi-Token Prediction for Faster and High-Quality Generation

arXiv 2025

2025

MedS$^3$: Towards Medical Small Language Models with Self-Evolved Slow Thinking

arXiv 2025

2025

WanJuanSiLu: A High-Quality Open-Source Webtext Dataset for Low-Resource Languages

arXiv 2025

2025

Personalized Graph-Based Retrieval for Large Language Models

arXiv 2025

2025

SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion

CVPR 2025 1

2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

arXiv 2025

2025

Retrieval-Augmented Generation with Graphs (GraphRAG)

arXiv 2024

2024

MING-MOE: Enhancing Medical Multi-Task Learning in Large Language Models with Sparse Mixture of Low-Rank Adapter Experts

arXiv 2024

2024

LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction

arXiv 2024

2024

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K

arXiv 2024

2024

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models

arXiv 2024

2024

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

arXiv 2024

2024

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios

arXiv 2024

2024

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

arXiv 2024

2024

LVCHAT: Facilitating Long Video Comprehension

arXiv 2024

2024

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping

arXiv 2024

2024

LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization

arXiv 2024

2024

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception

arXiv 2024

2024

MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation

arXiv 2024

2024

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

arXiv 2024

2024

MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression

arXiv 2024

2024

Evaluating Quantized Large Language Models

arXiv 2024

2024

Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation

arXiv 2024

2024

MBQ: Modality-Balanced Quantization for Large Vision-Language Models

CVPR 2025 1

2024

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models

ICCV 2025

2024

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study

arXiv 2024

2024

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

arXiv 2024

2024

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

arXiv 2024

2024

PiCO: Peer Review in LLMs based on the Consistency Optimization

arXiv 2024

2024

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives

arXiv 2024

2024

DynaSaur: Large Language Agents Beyond Predefined Actions

arXiv 2024

2024

LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

arXiv 2023

2023

OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control

arXiv 2023

2023

Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

arXiv 2023

2023

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance

arXiv 2023

2023

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

arXiv 2023

2023

Learning Concise and Descriptive Attributes for Visual Recognition

ICCV 2023 1

2023

LibriSQA: A Novel Dataset and Framework for Spoken Question Answering with Large Language Models

arXiv 2023

2023

Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation

ICCV 2023 1

2023

Spatial-temporal Concept based Explanation of 3D ConvNets

CVPR 2023 1

2022

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

deep-gradient-compression-reducing-the-1

2017

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from 77 papers