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Google Research
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- https://sites.google.com/site/yanggaoalex/
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A game theoretic approach to explain the output of any machine learning model.
ACL2023 - AlignScore, a metric for factual consistency evaluation.
Source Code of Paper "GPTScore: Evaluate as You Desire"
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings (EMNLP 2022 paper)
An explainable sentence similarity measurement
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
Python packaging and dependency management made easy
End-to-end neural table-text understanding models.
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
Shared code for training sentence embeddings with Flax / JAX
Long Range Arena for Benchmarking Efficient Transformers
Code for "High-Precision Model-Agnostic Explanations" paper
Code for the ACL 2020 paper 'tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection'.
Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (https://www.aclweb.org/anthology/2020.acl-main.173.pdf).
Question Answering and Generation for Summarization
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
LongSumm - Scientific Document Summarization Task
Human-free quality estimation of document summaries
CoLing 2020 Paper Vec2Sent: Probing Sentence Embeddings with Natural Language Generation
Multilingual abstractive summarization dataset extracted from WikiHow.
Lime: Explaining the predictions of any machine learning classifier