Najoung Kim | DeepAI

DeepAI AI Chat

Featured Co-authors

Benjamin Van Durme
102 publications
Samuel R. Bowman
79 publications
Xin Xu
57 publications
Tal Linzen
52 publications
Edouard Grave
50 publications
Ellie Pavlick
36 publications
Dipanjan Das
32 publications
Ethan Perez
28 publications
Paul Smolensky
28 publications
Berlin Chen
26 publications
Alex Wang
21 publications

∙ 06/15/2023

Inverse Scaling: When Bigger Isn't Better

Work on scaling laws has found that large language models (LMs) show pre...

0 Ian R. McKenzie, et al. ∙

∙ 06/13/2023

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information

Automated reasoning with unstructured natural text is a key requirement ...

0 Mehran Kazemi, et al. ∙

∙ 05/03/2023

Entity Tracking in Language Models

Keeping track of how states and relations of entities change as a text o...

0 Najoung Kim, et al. ∙

∙ 12/21/2022

Reconstruction Probing

We propose reconstruction probing, a new analysis method for contextuali...

0 Najoung Kim, et al. ∙

∙ 12/21/2022

Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models

Human linguistic capacity is often characterized by compositionality and...

0 Najoung Kim, et al. ∙

∙ 12/20/2022

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language

Remarkable progress has been made on automated reasoning with knowledge ...

0 Seyed Mehran Kazemi, et al. ∙

∙ 12/20/2022

(QA)^2: Question Answering with Questionable Assumptions

Naturally-occurring information-seeking questions often contain question...

0 Najoung Kim, et al. ∙

∙ 01/02/2021

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering

Many Question-Answering (QA) datasets contain unanswerable questions, bu...

0 Najoung Kim, et al. ∙

∙ 10/12/2020

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Natural language is characterized by compositionality: the meaning of a ...

0 Najoung Kim, et al. ∙

∙ 05/15/2019

What do you learn from context? Probing for sentence structure in contextualized word representations

Contextualized representation models such as ELMo (Peters et al., 2018a)...

0 Ian Tenney, et al. ∙

∙ 04/25/2019

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

We introduce a set of nine challenge tasks that test for the understandi...

0 Najoung Kim, et al. ∙

∙ 12/28/2018

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling

Work on the problem of contextualized word representation -- the develop...

0 Samuel R. Bowman, et al. ∙

∙ 09/20/2018

Predicting Argumenthood of English Preposition Phrases

Distinguishing between core and non-core dependents (i.e., arguments and...

0 Najoung Kim, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world