Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Authors: Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, Hannaneh Hajishirzi | Published: 2023-10-17
データ生成手法
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
Authors: Xuan Zhang, Wei Gao | Published: 2023-09-30
In-Context Retrieval-Augmented Language Models
Authors: Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham | Published: 2023-01-31 | Updated: 2023-08-01
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Authors: Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang | Published: 2022-09-21 | Updated: 2023-01-25
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Authors: Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt | Published: 2022-08-10 | Updated: 2023-02-01
Stack-based Buffer Overflow Detection using Recurrent Neural Networks
Authors: William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro | Published: 2020-12-30
Identifying Statistical Bias in Dataset Replication
Authors: Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry | Published: 2020-05-19 | Updated: 2020-09-02
REALM: Retrieval-Augmented Language Model Pre-Training
Authors: Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang | Published: 2020-02-10
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
Authors: Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty | Published: 2020-01-27
Analyzing Bias in Sensitive Personal Information Used to Train Financial Models
Authors: Reginald Bryant, Celia Cintas, Isaac Wambugu, Andrew Kinai, Komminist Weldemariam | Published: 2019-11-09