Aleksandra Piktus

According to our database1, Aleksandra Piktus authored at least 20 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Improving Wikipedia verifiability with AI.
Nat. Mac. Intell., October, 2023

Scaling Data-Constrained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

The ROOTS Search Tool: Data Transparency for LLMs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
CoRR, 2022

Improving Wikipedia Verifiability with AI.
CoRR, 2022

Domain-matched Pre-training Tasks for Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.
Trans. Assoc. Comput. Linguistics, 2021

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.
CoRR, 2021

KILT: a Benchmark for Knowledge Intensive Language Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
KILT: a Benchmark for Knowledge Intensive Language Tasks.
CoRR, 2020

Node Masking: Making Graph Neural Networks Generalize and Scale Better.
CoRR, 2020

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

How Decoding Strategies Affect the Verifiability of Generated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Generating Fact Checking Briefs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Context Affects Language Models' Factual Predictions.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2019
Misspelling Oblivious Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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