Koustuv Sinha

Koustuv Sinha

McGill University

H-index: 14

North America-Canada

About Koustuv Sinha

Koustuv Sinha, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at McGill University, specializes in the field of language generation, language reasoning, graph neural networks, systematic generalization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Tool Use with Chain-of-Abstraction Reasoning

Robustness of Named-Entity Replacements for In-Context Learning

Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP

The art of llm refinement: Ask, refine, and trust

Eliciting Attributions from LLMs with Minimal Supervision

A taxonomy and review of generalization research in NLP

Language model acceptability judgements are not always robust to context

Evaluating locality in NMT models

Koustuv Sinha Information

University

Position

___

Citations(all)

1394

Citations(since 2020)

1380

Cited By

175

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

McGill University

Google Scholar

View Google Scholar Profile

Koustuv Sinha Skills & Research Interests

language generation

language reasoning

graph neural networks

systematic generalization

Top articles of Koustuv Sinha

Title

Journal

Author(s)

Publication Date

Efficient Tool Use with Chain-of-Abstraction Reasoning

arXiv preprint arXiv:2401.17464

Silin Gao

Jane Dwivedi-Yu

Ping Yu

Xiaoqing Ellen Tan

Ramakanth Pasunuru

...

2024/1/30

Robustness of Named-Entity Replacements for In-Context Learning

Saeed Goodarzi

Nikhil Kagita

Dennis Minn

Shufan Wang

Roberto Dessì

...

2023/12

Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP

Dieuwke Hupkes

Verna Dankers

Khuyagbaatar Batsuren

Koustuv Sinha

Amirhossein Kazemnejad

...

2023/12

The art of llm refinement: Ask, refine, and trust

arXiv preprint arXiv:2311.07961

Kumar Shridhar

Koustuv Sinha

Andrew Cohen

Tianlu Wang

Ping Yu

...

2023/11/14

Eliciting Attributions from LLMs with Minimal Supervision

Ramakanth Pasunuru

Koustuv Sinha

Armen Aghajanyan

LILI YU

Tianlu Wang

...

2023/10/13

A taxonomy and review of generalization research in NLP

Nature Machine Intelligence

Dieuwke Hupkes

Mario Giulianelli

Verna Dankers

Mikel Artetxe

Yanai Elazar

...

2023/10

Language model acceptability judgements are not always robust to context

arXiv preprint arXiv:2212.08979

Koustuv Sinha

Jon Gauthier

Aaron Mueller

Kanishka Misra

Keren Fuentes

...

2022/12/18

Evaluating locality in NMT models

Proceedings of the Annual Meeting of the Cognitive Science Society

Itay Itzhak

Koustuv Sinha

Brenden Lake

Adina Williams

Dieuwke Hupkes

2022

The curious case of absolute position embeddings

arXiv preprint arXiv:2210.12574

Koustuv Sinha

Amirhossein Kazemnejad

Siva Reddy

Joelle Pineau

Dieuwke Hupkes

...

2022/10/23

State-of-the-art generalisation research in NLP: a taxonomy and review

arXiv preprint arXiv:2210.03050

Dieuwke Hupkes

Mario Giulianelli

Verna Dankers

Mikel Artetxe

Yanai Elazar

...

2022/10/6

Towards Reproducible Machine Learning Research in Information Retrieval

Ana Lucic

Maurits Bleeker

Maarten de Rijke

Koustuv Sinha

Sami Jullien

...

2022/7

How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts

arXiv preprint arXiv:2205.10762

Shanya Sharma

Manan Dey

Koustuv Sinha

2022/5/22

Exploring the Limits of Systematicity of Natural Language Understanding Models

Koustuv Sinha

2022

Reproducibility Summary

Koustuv Sinha

2021/5/27

COVID-19 deterioration prediction via self-supervised representation learning and multi-image prediction

arXiv preprint arXiv:2101.04909

Anuroop Sriram

Matthew Muckley

Koustuv Sinha

Farah Shamout

Joelle Pineau

...

2021/1/13

robustness to object scale

Koustuv Sinha

Jessica Zosa Forde

2021/5/27

Covid-19 prognosis via self-supervised representation learning and multi-image prediction

arXiv preprint arXiv:2101.04909

Anuroop Sriram

Matthew Muckley

Koustuv Sinha

Farah Shamout

Joelle Pineau

...

2021/1/13

Sometimes we want ungrammatical translations

Prasanna Parthasarathi

Koustuv Sinha

Joelle Pineau

Adina Williams

2021/11

of black-box classifiers’

Koustuv Sinha

2021/5/27

Improving reproducibility in machine learning research (a report from the neurips 2019 reproducibility program)

Journal of Machine Learning Research

Joelle Pineau

Philippe Vincent-Lamarre

Koustuv Sinha

Vincent Larivière

Alina Beygelzimer

...

2021

See List of Professors in Koustuv Sinha University(McGill University)

Co-Authors

H-index: 74
Joelle Pineau

Joelle Pineau

McGill University

H-index: 72
Vincent Larivière

Vincent Larivière

Université de Montréal

H-index: 37
Derek Ruths

Derek Ruths

McGill University

H-index: 36
Emily B. Fox

Emily B. Fox

University of Washington

H-index: 25
Nan Rosemary Ke

Nan Rosemary Ke

École Polytechnique de Montréal

H-index: 22
Peter Henderson

Peter Henderson

Stanford University

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