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Pride Kavumba
Observed names:
KAVUMBA, Pride,
Kavumba, Pride
Observed institutions:
Tohoku University,
RIKEN,
RIKEN Center for Advanced Intelligence Project
OpenAlex ID:
A5031104941
When Choosing Plausible Alternatives, Clever Hans can be Clever
2019
·
Pride Kavumba
, Naoya Inoue
, et al.
·
40
PDF
Are Prompt-based Models Clueless?
2022
·
Pride Kavumba
, Ryo Takahashi
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
12
PDF
Learning to Learn to be Right for the Right Reasons
2021
·
Pride Kavumba
, Benjamin Heinzerling
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
5
PDF
Are Prompt-based Models Clueless?
2022
·
Pride Kavumba
, Ryo Takahashi
, et al.
·
Journal of Natural Language Processing
·
4
PDF
Improving Evidence Detection by Leveraging Warrants
2019
·
Keshav Singh
, Paul Reisert
, et al.
·
Fact Extraction and VERification Workshop (FEVER)
·
4
PDF
Prompting for explanations improves Adversarial NLI. Is this true? {Yes} it is {true} because {it weakens superficial cues}
2023
·
Pride Kavumba
, Ana Brassard
, et al.
·
Findings of the Association for Computational Linguistics: EACL
·
3
PDF
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning
2022
·
Ana Brassard
, Benjamin Heinzerling
, et al.
·
Language Resources and Evaluation Conference (LREC)
·
3
PDF
Rubrik’s Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
2025
·
Diana Galvan-Sosa
, Gabrielle Gaudeau
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Learning to Learn to be Right for the Right Reasons
2021
·
Kavumba, Pride
, Heinzerling, Benjamin
, et al.
·
arXiv (Cornell University)
·
1
PDF
Predict, Don't React: Value-Based Safety Forecasting for LLM Streaming
2026
·
Kavumba, Pride
, Wataoka, Koki
, et al.
·
arXiv (Cornell University)
PDF
Do VLMs Share Safety Neurons Across Modalities?
2026
·
Jiaxuan Li
, Jiahao Zhang
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Foundation Models as Guardrails: LLM-and VLM-Based Approaches to Safety and Alignment
2025
·
Huy H. Nguyen
, Pride Kavumba
, et al.
·
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
2025
·
Galvan-Sosa, Diana
, Gaudeau, Gabrielle
, et al.
·
arXiv (Cornell University)
PDF
自然言語理解タスクにおける事前学習済み言語モデルの頑健性の向上
2023
·
Kavumba, Pride
·
Institutional Repositories DataBase (IRDB)
Are Prompt-based Models Clueless?
2022
·
Kavumba, Pride
, Takahashi, Ryo
, et al.
·
arXiv (Cornell University)
PDF
Analysing and Mitigating Superficial Cues in Commonsense Reasoning Benchmarks
2021
·
KAVUMBA, Pride
·
Institutional Repositories DataBase (IRDB)
PDF
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Works count:
22
Citation count:
73
H-index:
4
I10-index:
2
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