Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using…
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Modelsby Tobias Groot, Matias…
NExT: Teaching Large Language Models to Reason about Code Executionby Ansong Ni, Miltiadis Allamanis, Arman…
Transformer tricks: Removing weights for skipless transformersby Nils GraefFirst submitted to arxiv on: 18 Apr…
Graph Regularized NMF with L20-norm for Unsupervised Feature Learningby Zhen Wang, Wenwen MinFirst submitted to…
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learningby…
Transformer tricks: Precomputing the first layerby Nils GraefFirst submitted to arxiv on: 20 Feb 2024CategoriesMain:…
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervisionby Zihan Wang,…
Learning with Mixture of Prototypes for Out-of-Distribution Detectionby Haodong Lu, Dong Gong, Shuo Wang, Jason…
An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networksby Yash Bingi, Yiqiao…