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Bhargavi Paranjape
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2020 – today
- 2024
- [c16]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. EMNLP (Findings) 2024: 3603-3623 - [i14]Joongwon Kim, Bhargavi Paranjape, Tushar Khot, Hannaneh Hajishirzi:
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning. CoRR abs/2406.06469 (2024) - 2023
- [c15]Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi:
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. ACL (1) 2023: 12890-12903 - [c14]Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR 2023 - [i13]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 abs/2303.09014 (2023) - [i12]Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi:
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. CoRR abs/2305.17530 (2023) - [i11]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 abs/2311.09605 (2023) - 2022
- [c13]Bhargavi Paranjape, Matthew Lamm, Ian Tenney:
Retrieval-guided Counterfactual Generation for QA. ACL (1) 2022: 1670-1686 - [c12]Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer:
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. EMNLP (Findings) 2022: 2964-2984 - [c11]Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad:
QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR 2022: 1208-1218 - [i10]Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer:
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. CoRR abs/2210.04873 (2022) - [i9]Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi:
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR abs/2212.00921 (2022) - 2021
- [c10]Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer:
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. ACL/IJCNLP (Findings) 2021: 4179-4192 - [c9]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: 3712-3727 - [i8]Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad:
EASE: Extractive-Abstractive Summarization with Explanations. CoRR abs/2105.06982 (2021) - [i7]Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi:
Prompting Contrastive Explanations for Commonsense Reasoning Tasks. CoRR abs/2106.06823 (2021) - [i6]Bhargavi Paranjape, Matthew Lamm, Ian Tenney:
Retrieval-guided Counterfactual Generation for QA. CoRR abs/2110.07596 (2021) - 2020
- [c8]Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer:
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. EMNLP (1) 2020: 1938-1952 - [i5]Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer:
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. CoRR abs/2005.00652 (2020) - [i4]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 abs/2012.15482 (2020)
2010 – 2019
- 2019
- [c7]Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton:
Entity Projection via Machine Translation for Cross-Lingual NER. EMNLP/IJCNLP (1) 2019: 1083-1092 - [c6]Bhargavi Paranjape, Graham Neubig:
Contextualized Representations for Low-resource Utterance Tagging. SIGdial 2019: 68-74 - [i3]Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton:
Entity Projection via Machine Translation for Cross-Lingual NER. CoRR abs/1909.05356 (2019) - 2018
- [c5]Bhargavi Paranjape, Zhen Bai, Justine Cassell:
Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning. AIED (1) 2018: 420-435 - [c4]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: 71-78 - [i2]Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong:
Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. CoRR abs/1812.02253 (2018) - 2017
- [c3]Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick:
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. EMNLP 2017: 659-669 - [c2]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: 1331-1340 - 2016
- [c1]Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla
, Niloy Ganguly
Stop Clickbait: Detecting and preventing clickbaits in online news media. ASONAM 2016: 9-16 - [i1]Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly:
Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media. CoRR abs/1610.09786 (2016)
Coauthor Index
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