64 citations · 82 across the 4 of their papers we have counts for
4 papers
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
Da Song, Zhijie Wang, Yuheng Huang +2
Machine Learning (ML) has been widely used in Natural Language Processing (NLP) applications. A fundamental assumption in ML is that training data and real-world data should follow…
FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
Hrishikesh Viswanath, Tianyi Zhang
Recent studies have demonstrated that large pretrained language models (LLMs) such as BERT and GPT-2 exhibit biases in token prediction, often inherited from the data distributions…
Benchmarking Large Language Models for News Summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus +3
Large language models (LLMs) have shown promise for automatic summarization but the reasons behind their successes are poorly understood. By conducting a human evaluation on ten LL…
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing
Divyansh Agarwal, Alexander R. Fabbri, Simeng Han +7
This paper introduces the shared task of summarizing documents in several creative domains, namely literary texts, movie scripts, and television scripts. Summarizing these creative…