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Reasoning-Driven Question-Answering for Natural Language Understanding

Reasoning-Driven Question-Answering for Natural Language Understanding

14 August 2019
Daniel Khashabi
    LRM
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Papers citing "Reasoning-Driven Question-Answering for Natural Language Understanding"

4 / 4 papers shown
Title
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability
  of Large Language Models
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Mihir Parmar
Nisarg Patel
Neeraj Varshney
Mutsumi Nakamura
Man Luo
Santosh Mashetty
Arindam Mitra
Chitta Baral
LRM
ReLM
ELM
38
24
0
23 Apr 2024
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
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,982
0
04 Mar 2010
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