Koustuv Sinha

According to our database1, Koustuv Sinha authored at least 33 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Efficient Tool Use with Chain-of-Abstraction Reasoning.
CoRR, 2024

The ART of LLM Refinement: Ask, Refine, and Trust.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A taxonomy and review of generalization research in NLP.
Nat. Mac. Intell., October, 2023

Robustness of Named-Entity Replacements for In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Language model acceptability judgements are not always robust to context.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
State-of-the-art generalisation research in NLP: a taxonomy and review.
CoRR, 2022

Towards Reproducible Machine Learning Research in Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

The Curious Case of Absolute Position Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Evaluating locality in NMT models.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Towards Reproducible Machine Learning Research in Natural Language Processing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program).
J. Mach. Learn. Res., 2021

Evaluating Gender Bias in Natural Language Inference.
CoRR, 2021

Sometimes We Want Translationese.
CoRR, 2021

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.
CoRR, 2021

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Sometimes We Want Ungrammatical Translations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

UnNatural Language Inference.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Closer Look at Codistillation for Distributed Training.
CoRR, 2020

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop.
CoRR, 2020

Evaluating Logical Generalization in Graph Neural Networks.
CoRR, 2020

Measuring Systematic Generalization in Neural Proof Generation with Transformers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning an Unreferenced Metric for Online Dialogue Evaluation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Probing Linguistic Systematicity.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Evaluating systematicity in neural networks with natural language inference.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Compositional Language Understanding with Text-based Relational Reasoning.
CoRR, 2018

The RLLChatbot: a solution to the ConvAI challenge.
CoRR, 2018

Adversarial Gain.
CoRR, 2018

A Hierarchical Neural Attention-based Text Classifier.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Ethical Challenges in Data-Driven Dialogue Systems.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017
Studying Literary Characters and Character Networks.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017


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