Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research.

[BibT_eX]

[DOI]

Riley Simmons-Edler

Ryan Paul Badman

Shayne Longpre

Kanaka Rajan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: A Safe Harbor for AI Evaluation and Red Teaming.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: On the Societal Impact of Open Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

OctoPack: Instruction Tuning Code Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

[BibT_eX]

[DOI]

CoRR, 2023

The Foundation Model Transparency Index.

[BibT_eX]

[DOI]

CoRR, 2023

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

[BibT_eX]

[DOI]

CoRR, 2023

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Scaling Instruction-Finetuned Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.

[BibT_eX]

[DOI]

CoRR, 2022

Active Learning Over Multiple Domains in Natural Language Tasks.

[BibT_eX]

[DOI]

CoRR, 2022

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.

[BibT_eX]

[DOI]

Albert Villanova del Moral

Teven Le Scao

Leandro von Werra

Chenghao Mou

Eduardo González Ponferrada

Angelina McMillan-Major

David Ifeoluwa Adelani

Alexandra Sasha Luccioni

Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering.

[BibT_eX]

[DOI]

Shayne Longpre

Yi Lu

Joachim Daiber

Trans. Assoc. Comput. Linguistics, 2021

Question Rewriting for Conversational Question Answering.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

On the Transferability of Minimal Prediction Preserving Inputs in Question Answering.

[BibT_eX]

[DOI]

Shayne Longpre

Yi Lu

Chris DuBois

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Open-Domain Question Answering Goes Conversational via Question Rewriting.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Entity-Based Knowledge Conflicts in Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Comparison of Question Rewriting Methods for Conversational Passage Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2021

Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP.

[BibT_eX]

[DOI]

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

2020

Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval.

[BibT_eX]

[DOI]

CoRR, 2020

A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval.

[BibT_eX]

[DOI]

Svitlana Vakulenko

Nikos Voskarides