Constrained Language Models Yield Few-Shot Semantic Parsers
This repository contains tools and instructions for reproducing the experiments in the paper
This repository contains tools and instructions for reproducing the experiments in the paper
Data
Data Preparation
The Forte library provides robust out-of-distribution (OOD) detection capabilities through the ForteOODDetector class. The core algorithm is built on the principle of Finding Outliers using Representation Typicality Estimation, which:
Requirements
Key Features inside Forte
Initial set-up
These are required setup steps to use PEFT methods in our codebase.
Installation
Installation
Setup
Backend Local Setup
Installation
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Speech is the new essential fuel for human-computer interaction. With the current trend of
Region2vec: Community Detection on Spatial Networks Using Graph Embedding with Node Attributes and Spatial Interactions
Language agents for data-driven scientific discovery tasks. The agent features the self-debug mechanism and shows the best performance on ScienceAgentBench.
ScienceAgent Interface provides a web interface for conducting data-driven scientific tasks using ScienceAgent. The interface connects to a Python backend which allows users to execute generated programs in an isolated Docker environment and view the results.
We present a species classification model that utilizes heterogeneous image contexts organized in a multimodal knowledge graph. The multimodal knowledge graph may include diverse forms of heterogeneous contexts that pertain to different modalities, such as numerical information for locations and time, categorical data for species/taxon IDs, and visual content such as images.
GitHub Repo
Basic Usage