Leveraging QA Datasets to Improve Generative Data Augmentation

Leveraging QA Datasets to Improve Generative Data Augmentation

25 May 2022

Papers citing "Leveraging QA Datasets to Improve Generative Data Augmentation"

19 / 19 papers shown

Title
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Aoran Gan Hao Yu Kai Zhang Qi Liu Wenyu Yan Zhenya Huang Shiwei Tong Guoping Hu RALM 3DV 43 0 0 21 Apr 2025
DeepThink: Aligning Language Models with Domain-Specific User Intents Yang Li Mingxuan Luo Yeyun Gong Chen Lin Jian Jiao Yi Liu Kaili Huang LRM ALM ELM 59 0 0 08 Feb 2025
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection Yifeng Wang Zhouhong Gu Siwei Zhang Suhang Zheng Tao Wang Tianyu Li Hongwei Feng Yanghua Xiao 39 0 0 03 Sep 2024
Linguistically Conditioned Semantic Textual Similarity Jingxuan Tu Keer Xu Liulu Yue Bingyang Ye Kyeongmin Rim James Pustejovsky 53 1 0 06 Jun 2024
Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences Jesse Atuhurra Hidetaka Kamigaito 39 0 0 31 Mar 2024
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering Alex Nguyen Zilong Wang Jingbo Shang Dheeraj Mekala 41 1 0 30 Mar 2024
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models Dheeraj Mekala Alex Nguyen Jingbo Shang ALM 30 19 0 16 Feb 2024
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 29 3 0 30 Sep 2023
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering Arijit Ghosh Chowdhury Aman Chadha OOD 16 3 0 03 Sep 2023
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank Dheeraj Mekala Adithya Samavedhi Chengyu Dong Jingbo Shang OODD 29 2 0 24 May 2023
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction Cai Yang Addie Woicik Hoifung Poon Sheng Wang 22 4 0 14 Feb 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions Yizhong Wang Yeganeh Kordi Swaroop Mishra Alisa Liu Noah A. Smith Daniel Khashabi Hannaneh Hajishirzi ALM SyDa LRM 39 2,079 0 20 Dec 2022
Automatic Rule Induction for Interpretable Semi-Supervised Learning Reid Pryzant Ziyi Yang Yichong Xu Chenguang Zhu Michael Zeng 38 9 0 18 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 0 15 Oct 2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data Dheeraj Mekala Varun Gangal Jingbo Shang AI4TS 38 22 0 22 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning Tu Vu Minh-Thang Luong Quoc V. Le Grady Simon Mohit Iyyer 131 61 0 13 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 216 348 0 04 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020