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2305.13264
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Prompting is not a substitute for probability measurements in large language models
22 May 2023
Jennifer Hu
R. Levy
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Papers citing
"Prompting is not a substitute for probability measurements in large language models"
16 / 16 papers shown
Title
Do Large Language Models know who did what to whom?
Joseph M. Denning
Xiaohan
Bryor Snefjella
Idan A. Blank
198
1
0
23 Apr 2025
Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities
Zheyuan Zhang
Fengyuan Hu
Jayjun Lee
Freda Shi
Parisa Kordjamshidi
Joyce Chai
Ziqiao Ma
122
13
0
22 Oct 2024
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
224
21
0
28 Feb 2024
LMPriors: Pre-Trained Language Models as Task-Specific Priors
Kristy Choi
Chris Cundy
Sanjari Srivastava
Stefano Ermon
BDL
95
43
0
22 Oct 2022
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
183
3,117
0
20 Oct 2022
Language Models (Mostly) Know What They Know
Saurav Kadavath
Tom Conerly
Amanda Askell
T. Henighan
Dawn Drain
...
Nicholas Joseph
Benjamin Mann
Sam McCandlish
C. Olah
Jared Kaplan
ELM
108
817
0
11 Jul 2022
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
Daniel Khashabi
Xinxi Lyu
Sewon Min
Lianhui Qin
Kyle Richardson
...
Hannaneh Hajishirzi
Tushar Khot
Ashish Sabharwal
Sameer Singh
Yejin Choi
77
75
0
15 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Maxwell Nye
Anders Andreassen
Guy Gur-Ari
Henryk Michalewski
Jacob Austin
...
Aitor Lewkowycz
Maarten Bosma
D. Luan
Charles Sutton
Augustus Odena
ReLM
LRM
177
741
0
30 Nov 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
101
370
0
02 Sep 2021
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
98
366
0
15 Jun 2021
Is Incoherence Surprising? Targeted Evaluation of Coherence Prediction from Language Models
Anne Beyer
Sharid Loáiciga
David Schlangen
49
16
0
07 May 2021
Reducing conversational agents' overconfidence through linguistic calibration
Sabrina J. Mielke
Arthur Szlam
Emily Dinan
Y-Lan Boureau
249
168
0
30 Dec 2020
A Systematic Assessment of Syntactic Generalization in Neural Language Models
Jennifer Hu
Jon Gauthier
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
ELM
73
221
0
07 May 2020
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt
Alicia Parrish
Haokun Liu
Anhad Mohananey
Wei Peng
Sheng-Fu Wang
Samuel R. Bowman
75
491
0
02 Dec 2019
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
Peng Qian
Miguel Ballesteros
R. Levy
MILM
116
195
0
08 Mar 2019
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
101
903
0
04 Nov 2016
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