Výsledky vyhledávání - "Kulshreshtha, Saurabh"

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Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales

Autor: Kulshreshtha, Saurabh, Rumshisky, Anna

Multi-hop Question Generation is the task of generating questions which require the reader to reason over and combine information spread across multiple passages using several reasoning steps. Chain-of-thought rationale generation has been shown to i

Externí odkaz: http://arxiv.org/abs/2211.08466

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Down and Across: Introducing Crossword-Solving as a New NLP Benchmark

Autor: Kulshreshtha, Saurabh, Kovaleva, Olga, Shivagunde, Namrata, Rumshisky, Anna

Solving crossword puzzles requires diverse reasoning capabilities, access to a vast amount of knowledge about language and the world, and the ability to satisfy the constraints imposed by the structure of the puzzle. In this work, we introduce solvin

Externí odkaz: http://arxiv.org/abs/2205.10442

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BERT Busters: Outlier Dimensions that Disrupt Transformers

Autor: Kovaleva, Olga, Kulshreshtha, Saurabh, Rogers, Anna, Rumshisky, Anna

Multiple studies have shown that Transformers are remarkably robust to pruning. Contrary to this received wisdom, we demonstrate that pre-trained Transformer encoders are surprisingly fragile to the removal of a very small number of features in the l

Externí odkaz: http://arxiv.org/abs/2105.06990

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Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study

Autor: Kulshreshtha, Saurabh, Redondo-García, José Luis, Chang, Ching-Yun

Multilingual BERT (mBERT) has shown reasonable capability for zero-shot cross-lingual transfer when fine-tuned on downstream tasks. Since mBERT is not pre-trained with explicit cross-lingual supervision, transfer performance can further be improved b

Externí odkaz: http://arxiv.org/abs/2009.14304

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CliNER 2.0: Accessible and Accurate Clinical Concept Extraction

Autor: Boag, Willie, Sergeeva, Elena, Kulshreshtha, Saurabh, Szolovits, Peter, Rumshisky, Anna, Naumann, Tristan

Clinical notes often describe important aspects of a patient's stay and are therefore critical to medical research. Clinical concept extraction (CCE) of named entities - such as problems, tests, and treatments - aids in forming an understanding of no

Externí odkaz: http://arxiv.org/abs/1803.02245

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