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20192025
most citedTesting the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

17 citations · 47 across the 13 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CL2019★ 9 cited

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension

Yichen Jiang, Nitish Joshi, Yen-Chun Chen +1

Multi-hop reading comprehension requires the model to explore and connect relevant information from multiple sentences/documents in order to answer the question about the context.…

cs.CL2019

Cross-Lingual Training for Automatic Question Generation

Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee +2

Automatic question generation (QG) is a challenging problem in natural language understanding. QG systems are typically built assuming access to a large number of training instance…