Enhancing SLM via ChatGPT and Dataset Augmentation

Enhancing SLM via ChatGPT and Dataset Augmentation

19 September 2024

Mohamad Ballout

Gunther Heidemann

Kai-Uwe Kühnberger

Papers citing "Enhancing SLM via ChatGPT and Dataset Augmentation"

8 / 8 papers shown

Title
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models Mohamad Ballout U. Krumnack Gunther Heidemann Kai-Uwe Kuehnberger LRM 60 4 0 12 Feb 2024
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models Ruida Wang Wangchunshu Zhou Mrinmaya Sachan 53 32 0 20 Oct 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 572 9,009 0 28 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation Alisa Liu Swabha Swayamdipta Noah A. Smith Yejin Choi 114 219 0 16 Jan 2022
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 63 87 0 03 Feb 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 498 41,106 0 28 May 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding Yixin Nie Adina Williams Emily Dinan Joey Tianyi Zhou Jason Weston Douwe Kiela 93 991 0 31 Oct 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 375 634 0 04 Dec 2018