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ScoNe: Benchmarking Negation Reasoning in Language Models With
  Fine-Tuning and In-Context Learning

ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning

30 May 2023
Jingyuan Selena She
Christopher Potts
Sam Bowman
Atticus Geiger
ArXivPDFHTML

Papers citing "ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning"

5 / 5 papers shown
Title
Finding Alignments Between Interpretable Causal Variables and
  Distributed Neural Representations
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger
Zhengxuan Wu
Christopher Potts
Thomas F. Icard
Noah D. Goodman
CML
73
98
0
05 Mar 2023
Causal Proxy Models for Concept-Based Model Explanations
Causal Proxy Models for Concept-Based Model Explanations
Zhengxuan Wu
Karel DÓosterlinck
Atticus Geiger
Amir Zur
Christopher Potts
MILM
71
35
0
28 Sep 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
293
4,077
0
24 May 2022
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
190
576
0
02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
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