Hritik Bansal | DeepAI

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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...

0 Hritik Bansal, et al. ∙

∙ 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...

0 Yonatan Bitton, et al. ∙

∙ 07/04/2023

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Modeling weather and climate is an essential endeavor to understand the ...

0 Tung Nguyen, et al. ∙

∙ 05/23/2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation

Instruction tuning has emerged to enhance the capabilities of large lang...

0 Da Yin, et al. ∙

∙ 03/06/2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning

Multimodal contrastive pretraining has been used to train multimodal rep...

0 Hritik Bansal, et al. ∙

∙ 02/05/2023

Leaving Reality to Imagination: Robust Classification via Generated Datasets

Recent research on robustness has revealed significant performance gaps ...

0 Hritik Bansal, et al. ∙

∙ 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...

0 Hritik Bansal, et al. ∙

∙ 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...

0 Hritik Bansal, et al. ∙

∙ 05/28/2022

CyCLIP: Cyclic Contrastive Language-Image Pretraining

Recent advances in contrastive representation learning over paired image...

0 Shashank Goel, et al. ∙

∙ 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...

0 Da Yin, et al. ∙

∙ 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...

18 Hritik Bansal, et al. ∙

∙ 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...

8 Hritik Bansal, et al. ∙

∙ 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...

1 Gantavya Bhatt, et al. ∙

∙ 04/21/2019

Gender specific and Age dependent classification model for improved diagnosis in Parkinson's disease

Accurate diagnosis is crucial for preventing the progression of Parkinso...

0 Ujjwal Gupta, et al. ∙

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