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Orion Weller
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2020 – today
- 2024
- [c16]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Disinformation Attacks in Open-Domain Question Answering. EACL (2) 2024: 402-417 - [c15]Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini:
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. EACL (Findings) 2024: 1987-2003 - [c14]Orion Weller, Dawn J. Lawrie, Benjamin Van Durme:
NevIR: Negation in Neural Information Retrieval. EACL (1) 2024: 2274-2287 - [c13]Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme:
"According to . . . ": Prompting Language Models Improves Quoting from Pre-Training Data. EACL (1) 2024: 2288-2301 - [c12]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
:
On the Evaluation of Machine-Generated Reports. SIGIR 2024: 1904-1915 - [i21]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:
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic. CoRR abs/2402.14798 (2024) - [i20]Jeffrey Cheng, Marc Marone, Orion Weller, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme:
Dated Data: Tracing Knowledge Cutoffs in Large Language Models. CoRR abs/2403.12958 (2024) - [i19]Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini:
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR abs/2403.15246 (2024) - [i18]Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme, Daniel Khashabi:
SELF-[IN]CORRECT: LLMs Struggle with Refining Self-Generated Responses. CoRR abs/2404.04298 (2024) - [i17]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:
On the Evaluation of Machine-Generated Reports. CoRR abs/2405.00982 (2024) - [i16]Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark:
Learning to Reason via Program Generation, Emulation, and Search. CoRR abs/2405.16337 (2024) - [i15]Abe Bohan Hou, Orion Weller, Guanghui Qin, Eugene Yang, Dawn J. Lawrie, Nils Holzenberger, Andrew Blair-Stanek, Benjamin Van Durme:
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation. CoRR abs/2406.17186 (2024) - 2023
- [c11]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? EMNLP 2023: 3599-3606 - [i14]James Mayfield, Eugene Yang, Dawn J. Lawrie, Samuel Barham, Orion Weller, Marc Mason, Suraj Nair
, Scott Miller:
Synthetic Cross-language Information Retrieval Training Data. CoRR abs/2305.00331 (2023) - [i13]Orion Weller, Dawn J. Lawrie, Benjamin Van Durme:
NevIR: Negation in Neural Information Retrieval. CoRR abs/2305.07614 (2023) - [i12]Orion Weller, Marc Marone, Nathaniel Weir, Dawn J. Lawrie, Daniel Khashabi, Benjamin Van Durme:
"According to ..." Prompting Language Models Improves Quoting from Pre-Training Data. CoRR abs/2305.13252 (2023) - [i11]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:
MegaWika: Millions of reports and their sources across 50 diverse languages. CoRR abs/2307.07049 (2023) - [i10]Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini:
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. CoRR abs/2309.08541 (2023) - 2022
- [c10]Orion Weller, Kevin D. Seppi, Matt Gardner:
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. ACL (2) 2022: 272-282 - [c9]Orion Weller, Matthias Sperber, Telmo Pires, Hendra Setiawan, Christian Gollan, Dominic Telaar, Matthias Paulik:
End-to-End Speech Translation for Code Switched Speech. ACL (Findings) 2022: 1435-1448 - [c8]Orion Weller, Marc Marone, Vladimir Braverman, Dawn J. Lawrie, Benjamin Van Durme:
Pretrained Models for Multilingual Federated Learning. NAACL-HLT 2022: 1413-1421 - [i9]Orion Weller, Matthias Sperber, Telmo Pires, Hendra Setiawan, Christian Gollan, Dominic Telaar, Matthias Paulik:
End-to-End Speech Translation for Code Switched Speech. CoRR abs/2204.05076 (2022) - [i8]Orion Weller, Kevin D. Seppi, Matt Gardner:
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. CoRR abs/2205.08124 (2022) - [i7]Orion Weller, Marc Marone, Vladimir Braverman, Dawn J. Lawrie, Benjamin Van Durme:
Pretrained Models for Multilingual Federated Learning. CoRR abs/2206.02291 (2022) - [i6]Orion Weller, Aleem Khan, Nathaniel Weir, Dawn J. Lawrie, Benjamin Van Durme:
Defending Against Poisoning Attacks in Open-Domain Question Answering. CoRR abs/2212.10002 (2022) - [i5]Kangda Wei, Dawn J. Lawrie, Benjamin Van Durme, Yunmo Chen, Orion Weller:
When Do Decompositions Help for Machine Reading? CoRR abs/2212.10019 (2022) - 2021
- [c7]Orion Weller, Matthias Sperber, Christian Gollan, Joris Kluivers:
Streaming Models for Joint Speech Recognition and Translation. EACL 2021: 2533-2539 - [c6]Wilson Fearn, Orion Weller, Kevin D. Seppi:
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. NAACL-HLT 2021: 3069-3082 - [i4]Orion Weller, Matthias Sperber, Christian Gollan, Joris Kluivers:
Streaming Models for Joint Speech Recognition and Translation. CoRR abs/2101.09149 (2021) - [i3]Wilson Fearn, Orion Weller, Kevin D. Seppi:
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. CoRR abs/2104.03848 (2021) - 2020
- [c5]Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell, Kevin D. Seppi:
You Don't Have Time to Read This: An Exploration of Document Reading Time Prediction. ACL 2020: 1789-1794 - [c4]Orion Weller, Nancy Fulda, Kevin D. Seppi:
Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer. Fig-Lang@ACL 2020: 186-191 - [c3]Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters:
Learning from Task Descriptions. EMNLP (1) 2020: 1361-1375 - [c2]Orion Weller, Kevin D. Seppi:
The rJokes Dataset: a Large Scale Humor Collection. LREC 2020: 6136-6141 - [i2]Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters:
Learning from Task Descriptions. CoRR abs/2011.08115 (2020)
2010 – 2019
- 2019
- [c1]Orion Weller, Kevin D. Seppi:
Humor Detection: A Transformer Gets the Last Laugh. EMNLP/IJCNLP (1) 2019: 3619-3623 - [i1]Orion Weller, Kevin D. Seppi:
Humor Detection: A Transformer Gets the Last Laugh. CoRR abs/1909.00252 (2019)
Coauthor Index
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