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Found 5 papers, 2 papers with code
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
The proposed FeatLLM framework only uses this simple predictive model with the discovered features at inference time.
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents
Given their nature as black-boxes using complex reasoning processes on their inputs, it is inevitable that the demand for scalable and faithful explanations for LLMs' generated content will continue to grow.
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Large language models (LLMs) have recently shown great advances in a variety of tasks, including natural language understanding and generation.
Search-Adaptor: Embedding Customization for Information Retrieval
Embeddings extracted by pre-trained Large Language Models (LLMs) have significant potential to improve information retrieval and search.
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
The past decade has witnessed significant advances in time series modeling with deep learning.
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