Stop Clickbait: Detecting and preventing clickbaits in online news media. - Abhijnan Chakraborty; Bhargavi Paranjape; Sourya Kakarla; Niloy Ganguly (ASONAM, 2016)

SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. - Dheeraj Mekala; Vivek Gupta 001; Bhargavi Paranjape; Harish Karnick (EMNLP, 2017)

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices. - Chirag Gupta; Arun Sai Suggala; Ankit Goyal; Harsha Vardhan Simhadri; Bhargavi Paranjape; Ashish Kumar 007; Saurabh Goyal; Raghavendra Udupa; Manik Varma; Prateek Jain 002 (ICML, 2017)

Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning. - Bhargavi Paranjape; Zhen Bai; Justine Cassell (AIED (1), 2018)

Towards Automatic Generation of Peer-Targeted Science Talk in Curiosity-Evoking Virtual Agent. - Bhargavi Paranjape; Yubin Ge; Zhen Bai; Jessica Hammer; Justine Cassell (IVA, 2018)

Weighted Global Normalization for Multiple Choice ReadingComprehension over Long Documents. - Aditi Chaudhary; Bhargavi Paranjape; Michiel de Jong (CoRR, 2018)

Entity Projection via Machine Translation for Cross-Lingual NER. - Alankar Jain; Bhargavi Paranjape; Zachary C. Lipton (EMNLP/IJCNLP (1), 2019)

Contextualized Representations for Low-resource Utterance Tagging. - Bhargavi Paranjape; Graham Neubig (SIGdial, 2019)

An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction. - Bhargavi Paranjape; Mandar Joshi; John Thickstun; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP (1), 2020)

Prompting Contrastive Explanations for Commonsense Reasoning Tasks. - Bhargavi Paranjape; Julian Michael; Marjan Ghazvininejad; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL/IJCNLP (Findings), 2021)

FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. - Kushal Lakhotia; Bhargavi Paranjape; Asish Ghoshal; Scott Yih; Yashar Mehdad; Srini Iyer 001 (EMNLP (1), 2021)

EASE: Extractive-Abstractive Summarization with Explanations. - Haoran Li 007; Arash Einolghozati; Srinivasan Iyer 001; Bhargavi Paranjape; Yashar Mehdad; Sonal Gupta; Marjan Ghazvininejad (CoRR, 2021)

Retrieval-guided Counterfactual Generation for QA. - Bhargavi Paranjape; Matthew Lamm; Ian Tenney (ACL (1), 2022)

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation. - Tanay Dixit; Bhargavi Paranjape; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP (Findings), 2022)

QUASER: Question Answering with Scalable Extractive Rationalization. - Asish Ghoshal; Srinivasan Iyer 001; Bhargavi Paranjape; Kushal Lakhotia; Scott Wen-tau Yih; Yashar Mehdad (SIGIR, 2022)

PuMer: Pruning and Merging Tokens for Efficient Vision Language Models. - Qingqing Cao; Bhargavi Paranjape; Hannaneh Hajishirzi (ACL (1), 2023)

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization. - Bhargavi Paranjape; Pradeep Dasigi; Vivek Srikumar; Luke Zettlemoyer; Hannaneh Hajishirzi (ICLR, 2023)

ART: Automatic multi-step reasoning and tool-use for large language models. - Bhargavi Paranjape; Scott M. Lundberg; Sameer Singh 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Marco Túlio Ribeiro (CoRR, 2023)

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. - Yanai Elazar; Bhargavi Paranjape; Hao Peng 009; Sarah Wiegreffe; Khyathi Raghavi Chandu; Vivek Srikumar; Sameer Singh 001; Noah A. Smith (EMNLP (Findings), 2024)

Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning. - Joongwon Kim; Bhargavi Paranjape; Tushar Khot; Hannaneh Hajishirzi (CoRR, 2024)

Towards reliability and interactive debugging for large language models - Bhargavi Paranjape (2024)

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility. - William Held; Bhargavi Paranjape; Punit Singh Koura; Mike Lewis; Frank Zhang; Todor Mihaylov (CoRR, 2025)

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora. - Alex Warstadt; Aaron Mueller; Leshem Choshen; Ethan Wilcox; Chengxu Zhuang; Juan Ciro; Rafael Mosquera; Bhargavi Paranjape; Adina Williams; Tal Linzen; Ryan Cotterell (CoRR, 2025)