CrowdTruth framework for crowdsourcing ground truth for training & evaluation of AI systems
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Updated
Apr 8, 2024 - Jupyter Notebook
CrowdTruth framework for crowdsourcing ground truth for training & evaluation of AI systems
This is the code for the paper "Embracing Ambiguity: Shifting the Training Target of NLI Models".
Transform the given type to another type during defining a method
The official Crowd Deliberation data set.
Code for the paper Sentence Ambiguity, Grammaticality and Complexity Probes
Virtual bingo-blower in js for risk and ambiguity experiments, built on matter.js
Comparative study of different NER models through User Interface.
Simulate choice data based on behavioral model, and test whether model fitting can recover parameters.
Utilities for lark's ambiguous trees
A corpus of bias-causing ambiguities in translation
Pytorch implementation of "Aligning Language Models to Explicitly Handle Ambiguity" (EMNLP 2024)
oTree code for 'Generating ambiguity with a virtual bingo blower'
Repository contains prompts and data for the research paper: Detecting and Resolving Ambiguities in User Stories with the help of LLMs
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