SoundStorm: Efficient Parallel Audio Generationarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023SoundStorm: Efficient Parallel Audio Generation
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformerarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Role-Play with Large Language Modelsarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Role-Play with Large Language Models
EDM3: Event Detection as Multi-task Text Generationarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023EDM3: Event Detection as Multi-task Text Generation
PandaGPT: One Model To Instruction-Follow Them Allarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023PandaGPT: One Model To Instruction-Follow Them All
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversionarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion
Large Language Models as Tool Makersarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Large Language Models as Tool Makers
Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularizationarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization
Bi-fidelity Variational Auto-encoder for Uncertainty Quantificationarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
Representation Transfer Learning via Multiple Pre-trained models for Linear Regressionarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 29, 2023Representation Transfer Learning via Multiple Pre-trained models for Linear Regression
Efficient Neural Music Generationarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 28, 2023Efficient Neural Music Generation
Language Model Tokenizers Introduce Unfairness Between Languagesarxiv.org#arxiv.org#2023#MAY#W22#research·arxiv.org·May 28, 2023Language Model Tokenizers Introduce Unfairness Between Languages
Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretabilityarxiv.org#arxiv.org#2023#MAY#W21#research·arxiv.org·May 23, 2023Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability
Generative AI: Implications and Applications for Educationarxiv.org#arxiv.org#2023#MAY#W20#research·arxiv.org·May 16, 2023Generative AI: Implications and Applications for Education
The Ethics of AI in Gamesarxiv.org#arxiv.org#2023#MAY#W20#research·arxiv.org·May 16, 2023The Ethics of AI in Games
Neurosymbolic AI and its Taxonomy: a surveyarxiv.org#arxiv.org#2023#MAY#W20#research·arxiv.org·May 17, 2023Neurosymbolic AI and its Taxonomy: a survey
Fill-in-the-blanks Self-Supervision in NLParxiv.org#2023#MAY#W19#arxiv.org#research·towardsdatascience.com·May 12, 2023Fill-in-the-blanks Self-Supervision in NLP
On the Security Risks of Knowledge Graph Reasoningarxiv.org#arxiv.org#2023#MAY#W19#research·arxiv.org·May 8, 2023On the Security Risks of Knowledge Graph Reasoning
AutoML-GPT: Automatic Machine Learning with GPTarxiv.org#arxiv.org#2023#MAY#W19#research·arxiv.org·May 8, 2023AutoML-GPT: Automatic Machine Learning with GPT
What would a compute monitoring plan look like? [Linkpost] - LessWrongarxiv.org#2023#MAY#W19#arxiv.org#research·lesswrong.com·May 8, 2023What would a compute monitoring plan look like? [Linkpost] - LessWrong
Dissecting Recall of Factual Associations in Auto-Regressive Language Modelsarxiv.org#arxiv.org#2023#MAY#W18#research·arxiv.org·May 1, 2023Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Researchers say AI emergent abilities are just a 'mirage'arxiv.org#arxiv.org#2023#MAY#W18#research·techxplore.com·May 6, 2023Researchers say AI emergent abilities are just a 'mirage'
GitHub - IBM/MAX-Audio-Embedding-Generator: Generate embedding vectors from audio filesarxiv.org#arxiv.org#2023#MAY#W19#github.com#research·github.com·May 13, 2023GitHub - IBM/MAX-Audio-Embedding-Generator: Generate embedding vectors from audio files
How hybrid perovskites get their groovearxiv.org#arxiv.org#2023#MAY#W18#research·science.org·May 6, 2023How hybrid perovskites get their groove
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