Xilin Chen

Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes

Seeing Like Humans: Task-Driven Token Reduction for Accelerated ViT in Robotic Navigation

LexSign: Learning Sign Language from Lexical Descriptions

Jodi: Unification of Visual Generation and Understanding via Joint Modeling

MsTok: Query-Based Multi-Scale 1D Visual Tokenization

Distribution-Aware Synergistic Evolution for Few-shot Discrimination and Generation

CFMAE: A Coarse-to-Fine Vision Pre-training Framework for Hierarchical Representation Learning

MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Towards Non-destructive Privacy Protection for LVLMs via node-level localized editing

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection

CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs

un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP

Evaluating the Quality of Hallucination Benchmarks for Large Vision-Language Models

MATS: An Audio Language Model under Text-only Supervision

Enhancing Zero-shot OOD Detection with Pre-trained Multimodal Foundation Models

Not Only Vision: Evolve Visual Speech Recognition via Peripheral Information

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation

R2C: Mapping Room to Chessboard to Unlock LLM As Low-Level Action Planner

M4U: Evaluating Multilingual Understanding and Reasoning for Large Multimodal Models

CM^2: Cross-Modal Contextual Modeling for Audio-Visual Speech Enhancement

Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection