Rongrong Ji

Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts

SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence

Flow Caching for Autoregressive Video Generation

Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

FlexibleLLM: Making Low-Bit Quantization for Large Language Models More Flexible and Efficient

Event-Anchored Frame Selection for Efficient Long-Video Understanding

HS-SFT: Hybrid Sparse Supervised Fine-tuning for Offline LLM KV Cache Eviction

RoPK: A Head-Level Key Cache Channel Pruning Method for Efficient Long-Context LLM Inference

Towards Efficient Chain-of-Thought Reasoning via Adaptive-Budgeting based Policy Optimization

LightMotion: A Light and Tuning-free Method for Simulating Camera Motion in Video Generation

HGT-UCOD: A Hint-Guided Teacher Framework for Unsupervised Camouflaged Object Detection

Breaking the Bias: Quantifying the Attention of Industrial Anomaly Detection

FOLD: Fast Correct Speculative Decoding

Modality-Aware Quantization: Balancing Visual and Textual Fidelity in Multimodal Compression

Continuous Test-Time Adaptation of Vision-Language Models

Beyond Proxy Metrics: A New Evaluation Framework for LLM Compression by Directly Measuring Generative Faithfulness

Pseudo-Label Supervision in Unsupervised Industrial Anomaly Detection

SplitQuant: Efficient Low-Bit Quantization for Diffusion Transformers via In-Channel Dimension Splitting

DAMamba: Vision State Space Model with Dynamic Adaptive Scan

Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective

EasyInv: Toward Fast and Better DDIM Inversion

BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

$\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models

Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models

Learning Interleaved Image-Text Comprehension in Vision-Language Large Models

Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings

FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs

VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model

GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models

polybasic Speculative Decoding Through a Theoretical Perspective

CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models

Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective

Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective

AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection

DS-VLM: Diffusion Supervision Vision Language Model

Weakly-supervised 3D Referring Expression Segmentation

Dynamic Low-Rank Sparse Adaptation for Large Language Models

Hierarchy-Aided Sparse Attention For Fast LLMs Prefilling Inference

BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training

Low Rank Quantization Adaptation for Large Language Model

SOLOS: Sparse Optimization For Long Sequence In Context Compression Enhanced LLMs

Tradiffusion++：Hierarchical Guidance for Fine-Grained Trajectory-Based Image Generation

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model

Automated Fine-Grained Mixture-of-Experts Quantization

Mitigating Gradient Interference for Efficient Sparse Fine-Tuning of Large Language Models

Exploring the Collaborative Advantage of Low-level Information on Generalizable AI-generateted Image Detection

Extreme composite compression of large language models through joint optimization

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment

Revisiting Adversarial Examples from the Perspective of Asymptotic Equipartition Property

Multi-Perspective Test-Time Prompt Tuning for Global, Local Visuals, and Language

DiffusionTrend: A Minimalist Approach to Virtual Fashion Try-On

Towards Efficient Automatic Self-Pruning of Large Language Models

Polybasic Speculative Decoding Under a Theoretical Perspective