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08/30/2023
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Aligning large language models (LLMs) with human values and intents crit...
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08/12/2023
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use
We introduce VisIT-Bench (Visual InsTruction Benchmark), a benchmark for...
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07/04/2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Modeling weather and climate is an essential endeavor to understand the ...
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05/23/2023
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation
Instruction tuning has emerged to enhance the capabilities of large lang...
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03/06/2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
Multimodal contrastive pretraining has been used to train multimodal rep...
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02/05/2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets
Recent research on robustness has revealed significant performance gaps ...
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12/18/2022
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
Language models have been shown to perform better with an increase in sc...
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10/27/2022
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
Text-to-image generative models have achieved unprecedented success in g...
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05/28/2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Recent advances in contrastive representation learning over paired image...
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05/24/2022
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models
Recent work has shown that Pre-trained Language Models (PLMs) have the a...
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02/10/2021
Systematic Generalization for Predictive Control in Multivariate Time Series
Prior work has focused on evaluating the ability of neural networks to r...
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10/10/2020
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
The main subject and the associated verb in English must agree in gramma...
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05/17/2020
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
Long short-term memory (LSTM) networks and their variants are capable of...
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04/21/2019