Tristan Thrush
19 papers · 2020–2025 · 7 venues · across top CS/AI venues
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(12)
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(5)
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Research topics
Machine Learning
(16)
Artificial Intelligence
(11)
Natural Language Processing
(10)
Core AI Β· Artificial Intelligence
(10)
Learning Types Β· Machine Learning
(10)
Deep Learning
(8)
Application Areas
(7)
Applications Β· Natural Language Processing
(6)
Learning Types Β· Deep Learning
(5)
Computer Science
(4)
Applications Β· Computer Science
(4)
Resources & Methods
(4)
Computer Vision
(3)
Core AI Β· Computer Vision
(3)
Core Methods
(3)
Keywords
model evaluation
(4)
adversarial training
(3)
language model
(3)
model robustness
(3)
hate detection
(2)
large language model
(2)
multimodal learning
(2)
natural language processing
(2)
dataset benchmark
(2)
adversarial learning
(2)
hate speech detection
(2)
contrastive learning
(2)
few-shot learning
(2)
data augmentation
(2)
question answering
(2)
benchmark evaluation
(2)
vision-language model
(2)
human evaluation
(2)
dataset creation
(1)
visual question answering
(1)
Papers
Improving Pretraining Data Using Perplexity Correlations
ICLR 2025
MixMin: Finding Data Mixtures via Convex Minimization
ICML 2025
ColorSwap: A Color and Word Order Dataset for Multimodal Evaluation
ACL 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models
ACL 2024
Nearest Neighbor Normalization Improves Multimodal Retrieval
EMNLP 2024
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
ACL 2022
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements
EMNLP 2022
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate
NAACL 2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
NAACL 2022
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
NeurIPS 2022
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
CVPR 2022
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
NeurIPS 2021
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation
EMNLP 2021
Human-Adversarial Visual Question Answering
NeurIPS 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
EMNLP 2021
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
ACL 2021
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
EMNLP 2020