Summary of Reconciling Kaplan and Chinchilla Scaling Laws, by Tim Pearce et al.
Reconciling Kaplan and Chinchilla Scaling Lawsby Tim Pearce, Jinyeop SongFirst submitted to arxiv on: 12…
Reconciling Kaplan and Chinchilla Scaling Lawsby Tim Pearce, Jinyeop SongFirst submitted to arxiv on: 12…
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computationby Lihuan Li, Hao Xue, Yang Song,…
Towards Bayesian Data Selectionby Julian RodemannFirst submitted to arxiv on: 18 Jun 2024CategoriesMain: Machine Learning…
Towards Understanding Domain Adapted Sentence Embeddings for Document Retrievalby Sujoy Roychowdhury, Sumit Soman, H. G.…
UniGLM: Training One Unified Language Model for Text-Attributed Graph Embeddingby Yi Fang, Dongzhe Fan, Sirui…
Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Predictionby Junwei You, Haotian…
Delay Embedding Theory of Neural Sequence Modelsby Mitchell Ostrow, Adam Eisen, Ila FieteFirst submitted to…
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanationsby Rick Wilming, Artur…
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Spaceby Mohamed Amine Ketata, Nicholas Gao,…
Large Language Model Enhanced Clustering for News Event Detectionby Adane Nega TarekegnFirst submitted to arxiv…