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Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly

Measuring Pointwise V\mathcal{V}V-Usable Information In-Context-ly

18 October 2023
Sheng Lu
Shan Chen
Yingya Li
Danielle Bitterman
G. Savova
Iryna Gurevych
ArXivPDFHTML

Papers citing "Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly"

14 / 14 papers shown
Title
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and
  Classification
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
Shan Chen
Yingya Li
Sheng Lu
Hoang Van
Hugo J. W. L. Aerts
G. Savova
Danielle S. Bitterman
LM&MA
AI4MH
ELM
51
47
0
05 Apr 2023
On Measuring the Intrinsic Few-Shot Hardness of Datasets
On Measuring the Intrinsic Few-Shot Hardness of Datasets
Xinran Zhao
Shikhar Murty
Christopher D. Manning
19
5
0
16 Nov 2022
Scaling Instruction-Finetuned Language Models
Scaling Instruction-Finetuned Language Models
Hyung Won Chung
Le Hou
Shayne Longpre
Barret Zoph
Yi Tay
...
Jacob Devlin
Adam Roberts
Denny Zhou
Quoc V. Le
Jason W. Wei
ReLM
LRM
181
3,117
0
20 Oct 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
212
80
0
16 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
PILM
LRM
471
6,231
0
05 Apr 2022
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
AAML
RALM
385
1,374
0
17 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
450
2,093
0
31 Dec 2020
A Theory of Usable Information Under Computational Constraints
A Theory of Usable Information Under Computational Constraints
Yilun Xu
Shengjia Zhao
Jiaming Song
Russell Stewart
Stefano Ermon
70
174
0
25 Feb 2020
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
217
1,517
0
24 May 2019
SuperGLUE: A Stickier Benchmark for General-Purpose Language
  Understanding Systems
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Alex Jinpeng Wang
Yada Pruksachatkun
Nikita Nangia
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
256
2,312
0
02 May 2019
On The Power of Curriculum Learning in Training Deep Networks
On The Power of Curriculum Learning in Training Deep Networks
Guy Hacohen
D. Weinshall
ODL
70
442
0
07 Apr 2019
Neural Network Acceptability Judgments
Neural Network Acceptability Judgments
Alex Warstadt
Amanpreet Singh
Samuel R. Bowman
230
1,407
0
31 May 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
520
4,476
0
18 Apr 2017
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
310
4,284
0
21 Aug 2015
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