Bhargavi Paranjape

33 papers A* 4B 3Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. CoRR Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjape, Adina Williams, Tal Linzen, Ryan Cotterell
2025	J	`jnl`	Optimizing Pretraining Data Mixtures with LLM-Estimated Utility. CoRR William Barr Held, Bhargavi Paranjape, Punit Singh Koura, Mike Lewis, Frank Zhang, Todor Mihaylov
2024	J	`jnl`	Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning. CoRR Joongwon Kim, Bhargavi Paranjape, Tushar Khot, Hannaneh Hajishirzi
2024	—	`conf`	Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. EMNLP (Findings) Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith
2024	—	`—`	Towards reliability and interactive debugging for large language models Bhargavi Paranjape
2023	A*	`conf`	AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. ICLR Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
2023	J	`jnl`	ART: Automatic multi-step reasoning and tool-use for large language models. CoRR Bhargavi Paranjape, Scott M. Lundberg, Sameer Singh, Hannaneh Hajishirzi, Luke Zettlemoyer, Marco Túlio Ribeiro
2023	J	`jnl`	Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
2023	—	`conf`	PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. ACL (1) Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
2023	J	`jnl`	PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. CoRR Qingqing Cao, Bhargavi Paranjape, Hannaneh Hajishirzi
2022	J	`jnl`	AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization. CoRR Bhargavi Paranjape, Pradeep Dasigi, Vivek Srikumar, Luke Zettlemoyer, Hannaneh Hajishirzi
2022	—	`conf`	CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. EMNLP (Findings) Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	J	`jnl`	CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. CoRR Tanay Dixit, Bhargavi Paranjape, Hannaneh Hajishirzi, Luke Zettlemoyer
2022	A*	`conf`	QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad
2022	—	`conf`	Retrieval-guided Counterfactual Generation for QA. ACL (1) Bhargavi Paranjape, Matthew Lamm, Ian Tenney
2021	J	`jnl`	EASE: Extractive-Abstractive Summarization with Explanations. CoRR Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad
2021	—	`conf`	FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. EMNLP (1) Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer
2021	—	`conf`	Prompting Contrastive Explanations for Commonsense Reasoning Tasks. ACL/IJCNLP (Findings) Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi, Luke Zettlemoyer
2021	J	`jnl`	Prompting Contrastive Explanations for Commonsense Reasoning Tasks. CoRR Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Luke Zettlemoyer, Hannaneh Hajishirzi
2021	J	`jnl`	Retrieval-guided Counterfactual Generation for QA. CoRR Bhargavi Paranjape, Matthew Lamm, Ian Tenney
2020	—	`conf`	An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. EMNLP (1) Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
2020	J	`jnl`	An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. CoRR Bhargavi Paranjape, Mandar Joshi, John Thickstun, Hannaneh Hajishirzi, Luke Zettlemoyer
2020	J	`jnl`	FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer
2019	B	`conf`	Contextualized Representations for Low-resource Utterance Tagging. SIGdial Bhargavi Paranjape, Graham Neubig
2019	—	`conf`	Entity Projection via Machine Translation for Cross-Lingual NER. EMNLP/IJCNLP (1) Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton
2019	J	`jnl`	Entity Projection via Machine Translation for Cross-Lingual NER. CoRR Alankar Jain, Bhargavi Paranjape, Zachary C. Lipton
2018	—	`conf`	Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning. AIED (1) Bhargavi Paranjape, Zhen Bai, Justine Cassell
2018	B	`conf`	Towards Automatic Generation of Peer-Targeted Science Talk in Curiosity-Evoking Virtual Agent. IVA Bhargavi Paranjape, Yubin Ge, Zhen Bai, Jessica Hammer, Justine Cassell
2018	J	`jnl`	Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. CoRR Aditi Chaudhary, Bhargavi Paranjape, Michiel de Jong
2017	A*	`conf`	ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. ICML Chirag Gupta, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
2017	A*	`conf`	SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. EMNLP Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick
2016	J	`jnl`	Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media. CoRR Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
2016	B	`conf`	Stop Clickbait: Detecting and preventing clickbaits in online news media. ASONAM Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly