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In-Context Learning for Text Classification with Many Labels
v1v2 (latest)

In-Context Learning for Text Classification with Many Labels

19 September 2023
Aristides Milios
Siva Reddy
Dzmitry Bahdanau
ArXiv (abs)PDFHTML

Papers citing "In-Context Learning for Text Classification with Many Labels"

16 / 16 papers shown
Title
Vulnerability of LLMs to Vertically Aligned Text Manipulations
Vulnerability of LLMs to Vertically Aligned Text Manipulations
Zhecheng Li
Yijiao Wang
Bryan Hooi
Yujun Cai
Zhen Xiong
Nanyun Peng
Kai-Wei Chang
123
1
0
26 Oct 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLMAIMat
170
80
0
30 Apr 2024
REPLUG: Retrieval-Augmented Black-Box Language Models
REPLUG: Retrieval-Augmented Black-Box Language Models
Weijia Shi
Sewon Min
Michihiro Yasunaga
Minjoon Seo
Rich James
M. Lewis
Luke Zettlemoyer
Wen-tau Yih
RALMVLMKELM
137
638
0
30 Jan 2023
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
75
196
0
22 Sep 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
500
6,279
0
05 Apr 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Yasaman Razeghi
Robert L Logan IV
Matt Gardner
Sameer Singh
ReLMLRM
86
156
0
15 Feb 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLMRALM
86
707
0
16 Dec 2021
An Explanation of In-context Learning as Implicit Bayesian Inference
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLMBDLVPVLMLRM
204
759
0
03 Nov 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Ivan Vulić
Pei-hao Su
Sam Coope
D. Gerz
Paweł Budzianowski
I. Casanueva
Nikola Mrkvsić
Tsung-Hsien Wen
91
36
0
21 Sep 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAMLRALM
385
1,387
0
17 Jan 2021
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented
  Dialogue
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
Shikib Mehri
Mihail Eric
Dilek Z. Hakkani-Tür
ELM
73
139
0
28 Sep 2020
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
Jonas Pfeiffer
Ivan Vulić
Iryna Gurevych
Sebastian Ruder
103
630
0
30 Apr 2020
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
368
474
0
10 Mar 2020
An Evaluation Dataset for Intent Classification and Out-of-Scope
  Prediction
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
Stefan Larson
Anish Mahendran
Joseph Peper
Christopher Clarke
Andrew Lee
...
Jonathan K. Kummerfeld
Kevin Leach
M. Laurenzano
Lingjia Tang
Jason Mars
110
530
0
04 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.3K
12,226
0
27 Aug 2019
Benchmarking Natural Language Understanding Services for building
  Conversational Agents
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu
Arash Eshghi
P. Swietojanski
Verena Rieser
ELM
64
258
0
13 Mar 2019
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