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Papers
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
NIPS 2024
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
EMNLP 2024
Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models
INTERSPEECH 2024
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning
AAAI 2024
Visual Fourier Prompt Tuning
NIPS 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
NIPS 2024
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models
INTERSPEECH 2024
Sparse High Rank Adapters
NIPS 2024