Bhargavi Paranjape

According to our database, Bhargavi Paranjape authored at least 19 papers between 2016 and 2023.

Collaborative distances:

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

2023

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith

CoRR, 2023

ART: Automatic multi-step reasoning and tool-use for large language models.

Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro

CoRR, 2023

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization.

Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PuMer: Pruning and Merging Tokens for Efficient Vision Language Models.

Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

QUASER: Question Answering with Scalable Extractive Rationalization.

Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation.

Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Retrieval-guided Counterfactual Generation for QA.

Bhargavi Paranjape, Matthew Lamm, Ian Tenney

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

2021

EASE: Extractive-Abstractive Summarization with Explanations.

Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad

CoRR, 2021

FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation.

Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks.

Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction.

Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Contextualized Representations for Low-resource Utterance Tagging.

Bhargavi Paranjape, Graham Neubig

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

Entity Projection via Machine Translation for Cross-Lingual NER.

Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents.

Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong

CoRR, 2018

Towards Automatic Generation of Peer-Targeted Science Talk in Curiosity-Evoking Virtual Agent.

Bhargavi Paranjape, Yubin Ge, Zhen Bai, Jessica Hammer, Justine Cassell

Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning.

Bhargavi Paranjape, Zhen Bai, Justine Cassell

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices.

Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain

Proceedings of the 34th International Conference on Machine Learning, 2017

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations.

Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Stop Clickbait: Detecting and preventing clickbaits in online news media.

Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016