Deepak Nathani

According to our database, Deepak Nathani authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang

CoRR, 2023

MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models.

Deepak Nathani, David Wang, Liangming Pan, William Yang Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Walking with PACE - Personalized and Automated Coaching Engine.

Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings.

Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages.

Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar

CoRR, 2021

2020

Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures.

Jatin Chauhan, Deepak Nathani, Manohar Kaul

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Persistent Homology Perspective to the Link Prediction Problem.

Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul

Proceedings of the Complex Networks and Their Applications VIII, 2019

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs.

Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Understanding and Predicting Links in Graphs: A Persistent Homology Perspective.

Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul

CoRR, 2018

Solving Partial Assignment Problems using Random Clique Complexes.

Charu Sharma, Deepak Nathani, Manohar Kaul

Proceedings of the 35th International Conference on Machine Learning, 2018