Orion Weller

According to our database, Orion Weller authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Waterlog for Detecting and Tracing Synthetic Text from Large Language Models.

Brennon Brimhall, Orion Weller, Matthew Green, Ian Miers

IACR Cryptol. ePrint Arch., 2024

From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question Answering.

Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller, Oyvind Tafjord, Sam Hornstein, Alexander Sabol, Peter Jansen, Benjamin Van Durme, Peter Clark

CoRR, 2024

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Benjamin Warner, Antoine Chaffin, Benjamin Clavié, Orion Weller, Oskar Hallström, Said Taghadouini, Alexis Gallagher, Raja Biswas, Faisal Ladhak, Tom Aarsen, Nathan Cooper, Griffin Adams, Jeremy Howard, Iacopo Poli

CoRR, 2024

Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models.

Orion Weller, Benjamin Van Durme, Dawn J. Lawrie, Ashwin Paranjape, Yuhao Zhang, Jack Hessel

CoRR, 2024

CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation.

Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme

CoRR, 2024

Learning to Reason via Program Generation, Emulation, and Search.

Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark

CoRR, 2024

SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses.

Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi

CoRR, 2024

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions.

Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini

CoRR, 2024

Dated Data: Tracing Knowledge Cutoffs in Large Language Models.

Jeffrey Cheng, Marc Marone, Orion Weller, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme

CoRR, 2024

On the Evaluation of Machine-Generated Reports.

James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic.

Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter A. Jansen, Peter Clark, Benjamin Van Durme

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

"According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data.

Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets.

Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

NevIR: Negation in Neural Information Retrieval.

Orion Weller, Dawn J. Lawrie, Benjamin Van Durme

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Defending Against Disinformation Attacks in Open-Domain Question Answering.

Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

MegaWika: Millions of reports and their sources across 50 diverse languages.

Samuel Barham, Orion Weller, Michelle Yuan, Kenton Murray, Mahsa Yarmohammadi, Zhengping Jiang, Siddharth Vashishtha, Alexander Martin, Anqi Liu, Aaron Steven White, Jordan L. Boyd-Graber, Benjamin Van Durme

CoRR, 2023

Synthetic Cross-language Information Retrieval Training Data.

James Mayfield, Eugene Yang, Dawn J. Lawrie, Samuel Barham, Orion Weller, Marc Mason, Suraj Nair, Scott Miller

CoRR, 2023

When Do Decompositions Help for Machine Reading?

Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Defending Against Poisoning Attacks in Open-Domain Question Answering.

Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme

CoRR, 2022

Pretrained Models for Multilingual Federated Learning.

Orion Weller, Marc Marone, Vladimir Braverman, Dawn J. Lawrie, Benjamin Van Durme

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

End-to-End Speech Translation for Code Switched Speech.

Orion Weller, Matthias Sperber, Telmo Pires, Hendra Setiawan, Christian Gollan, Dominic Telaar, Matthias Paulik

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning.

Orion Weller, Kevin D. Seppi, Matt Gardner

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification.

Wilson Fearn, Orion Weller, Kevin D. Seppi

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

Streaming Models for Joint Speech Recognition and Translation.

Orion Weller, Matthias Sperber, Christian Gollan, Joris Kluivers

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

The rJokes Dataset: a Large Scale Humor Collection.

Orion Weller, Kevin D. Seppi

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Learning from Task Descriptions.

Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

You Don't Have Time to Read This: An Exploration of Document Reading Time Prediction.

Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell, Kevin D. Seppi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer.

Orion Weller, Nancy Fulda, Kevin D. Seppi

Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019

Humor Detection: A Transformer Gets the Last Laugh.

Orion Weller, Kevin D. Seppi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019