Ameet Deshpande

According to our database, Ameet Deshpande authored at least 26 papers between 2018 and 2023.

Collaborative distances:

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

2023

GEO: Generative Engine Optimization.

Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande

CoRR, 2023

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs.

Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot

CoRR, 2023

QualEval: Qualitative Evaluation for Model Improvement.

Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan

CoRR, 2023

Distraction-free Embeddings for Robust VQA.

Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar

CoRR, 2023

InstructEval: Systematic Evaluation of Instruction Selection Methods.

Anirudh Ajith, Chris Pan, Mengzhou Xia, Ameet Deshpande, Karthik Narasimhan

CoRR, 2023

CSTS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

CoRR, 2023

Anthropomorphization of AI: Opportunities and Risks.

Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan

CoRR, 2023

MUX-PLMs: Pre-training Language Models with Data Multiplexing.

Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification.

Pranjal Aggarwal, Ameet Deshpande, Karthik R. Narasimhan

Proceedings of the International Conference on Machine Learning, 2023

MUX-PLMs: Data Multiplexing for High-throughput Language Models.

Vishvak Murahari, Ameet Deshpande, Carlos E. Jimenez, Izhak Shafran, Mingqiu Wang, Yuan Cao, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Toxicity in chatgpt: Analyzing persona-assigned language models.

Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

C-STS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

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

2022

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers.

Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil

CoRR, 2022

ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training.

Henry Tang, Ameet Deshpande, Karthik Narasimhan

CoRR, 2022

Semantic Supervision: Enabling Generalization over Output Spaces.

Austin W. Hanjie, Ameet Deshpande, Karthik Narasimhan

CoRR, 2022

When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer.

Ameet Deshpande, Partha Talukdar, Karthik Narasimhan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2020

Sentiment Analysis for Reinforcement Learning.

Ameet Deshpande, Eve Fleisig

CoRR, 2020

Evaluating a Generative Adversarial Framework for Information Retrieval.

Ameet Deshpande, Mitesh M. Khapra

CoRR, 2020

CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes.

Raeid Saqur, Ameet Deshpande

CoRR, 2020

Guiding Attention for Self-Supervised Learning with Transformers.

Ameet Deshpande, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

FigureNet : A Deep Learning model for Question-Answering on Scientific Plots.

Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra

Proceedings of the International Joint Conference on Neural Networks, 2019

Leveraging Ontological Knowledge for Neural Language Models.

Ameet Deshpande, Monisha Jegadeesan

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

2018

Discovering hierarchies using Imitation Learning from hierarchy aware policies.

Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran

CoRR, 2018

Improvements on Hindsight Learning.

Ameet Deshpande, Srikanth Sarma

CoRR, 2018

A Question-Answering framework for plots using Deep learning.

Revanth Reddy, Rahul Ramesh, Ameet Deshpande, Mitesh M. Khapra

CoRR, 2018

Weight Initialization in Neural Language Models.

Ameet Deshpande, Vedant Somani

CoRR, 2018