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Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Paper • 2310.17157 • Published • 11 -
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Paper • 2305.15805 • Published • 1 -
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Paper • 2305.11186 • Published • 1 -
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Paper • 2110.07560 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2305.11685
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Large-Scale Automatic Audiobook Creation
Paper • 2309.03926 • Published • 53 -
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts
Paper • 2309.11977 • Published • 2 -
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
Paper • 2308.16692 • Published • 1 -
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining
Paper • 2308.05734 • Published • 36
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Large-Scale Automatic Audiobook Creation
Paper • 2309.03926 • Published • 53 -
UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Paper • 2310.00704 • Published • 19 -
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts
Paper • 2309.11977 • Published • 2 -
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
Paper • 2308.16692 • Published • 1
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Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 14 -
Teaching Language Models to Self-Improve through Interactive Demonstrations
Paper • 2310.13522 • Published • 11 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 14 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 25 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 6 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20