Tristan Thrush

According to our database1, Tristan Thrush authored at least 23 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation.
CoRR, 2024

I am a Strange Dataset: Metalinguistic Tests for Language Models.
CoRR, 2024

2023
Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language.
CoRR, 2023


2022
Measuring Data.
CoRR, 2022

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

DataPerf: Benchmarks for Data-Centric AI Development.
CoRR, 2022


Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching.
IEEE Robotics Autom. Lett., 2021

Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation.
Proceedings of the Sixth Conference on Machine Translation, 2021

Human-Adversarial Visual Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynabench: Rethinking Benchmarking in NLP.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
ANLIzing the Adversarial Natural Language Inference Dataset.
CoRR, 2020

Compositional Neural Machine Translation by Removing the Lexicon from Syntax.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020


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