Chunyan Miao

Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models

Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning

Continual Optimization with Symmetry Teleportation for Multi-Task Learning

General Skeleton Semantics Learning with Probabilistic Masked Context Reconstruction for Skeleton-Based Person Re-Identification

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models

HoLoRA: Combining Orthogonal Fine-Tuning and LoRA with Householder Reflectors