Bhargavi Paranjape

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 29

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Top Venues

Publications

Joongwon Kim, Bhargavi Paranjape, Tushar Khot, Hannaneh Hajishirzi
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning. CoRR (2024)
Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. CoRR (2023)
Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. ACL (1) (2023)
Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro
ART: Automatic multi-step reasoning and tool-use for large language models. CoRR (2023)
Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR (2023)
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR (2023)
Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. CoRR (2022)
Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. EMNLP (Findings) (2022)
Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR (2022)
Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad
QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR (2022)
Bhargavi Paranjape, Matthew Lamm, Ian Tenney
Retrieval-guided Counterfactual Generation for QA. ACL (1) (2022)
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. EMNLP (1) (2021)
Bhargavi Paranjape, Matthew Lamm, Ian Tenney
Retrieval-guided Counterfactual Generation for QA. CoRR (2021)
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. CoRR (2021)
Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. ACL/IJCNLP (Findings) (2021)
Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad
EASE: Extractive-Abstractive Summarization with Explanations. CoRR (2021)
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. CoRR (2020)
Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. EMNLP (1) (2020)
Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR (2020)
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton
Entity Projection via Machine Translation for Cross-Lingual NER. EMNLP/IJCNLP (1) (2019)
Bhargavi Paranjape, Graham Neubig
Contextualized Representations for Low-resource Utterance Tagging. SIGdial (2019)
Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton
Entity Projection via Machine Translation for Cross-Lingual NER. CoRR (2019)
Bhargavi Paranjape, Yubin Ge, Zhen Bai, Jessica Hammer, Justine Cassell
Towards Automatic Generation of Peer-Targeted Science Talk in Curiosity-Evoking Virtual Agent. IVA (2018)
Bhargavi Paranjape, Zhen Bai, Justine Cassell
Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning. AIED (1) (2018)
Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong
Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. CoRR (2018)
Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML (2017)
Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. EMNLP (2017)
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media. CoRR (2016)
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Stop Clickbait: Detecting and preventing clickbaits in online news media. ASONAM (2016)