Investigating the Learning Behaviour of In-context Learning: A
Comparison with Supervised Learning

Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning

28 July 2023

Robert E. Mercer

Papers citing "Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning"

12 / 12 papers shown

Title
In-Context Learning with Noisy Labels Junyong Kang Donghyun Son Hwanjun Song Buru Chang 65 0 0 29 Nov 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation Xiaoling Zhou Wei Ye Yidong Wang Chaoya Jiang Zhemg Lee Rui Xie Shikun Zhang 20 3 0 27 Jun 2024
Leveraging Prompts in LLMs to Overcome Imbalances in Complex Educational Text Data Jeanne McClure Machi Shimmei Noboru Matsuda Shiyan Jiang 14 1 0 28 Apr 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models Xindi Wang Mahsa Salmani Parsa Omidi Xiangyu Ren Mehdi Rezagholizadeh A. Eshaghi LRM 23 35 0 03 Feb 2024
How Robust are LLMs to In-Context Majority Label Bias? Karan Gupta Sumegh Roychowdhury Siva Rajesh Kasa Santhosh Kumar Kasa Anish Bhanushali Nikhil Pattisapu Prasanna Srinivasa Murthy 6 7 0 27 Dec 2023
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration Meihao Fan Xiaoyue Han Ju Fan Chengliang Chai Nan Tang Guoliang Li Xiaoyong Du 17 5 0 07 Dec 2023
Function Vectors in Large Language Models Eric Todd Millicent Li Arnab Sen Sharma Aaron Mueller Byron C. Wallace David Bau 8 99 0 23 Oct 2023
Ambiguity-Aware In-Context Learning with Large Language Models Lingyu Gao Aditi Chaudhary Krishna Srinivasan Kazuma Hashimoto K. Raman Michael Bendersky 11 7 0 14 Sep 2023
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 210 155 0 15 Oct 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 222 204 0 25 Sep 2019
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 148 25,150 0 09 Jun 2011