Mandar Joshi

According to our database, Mandar Joshi authored at least 30 papers between 1999 and 2024.

Collaborative distances:

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

2024

BAGEL: Bootstrapping Agents by Guiding Exploration with Language.

Shikhar Murty, Christopher D. Manning, Peter Shaw, Mandar Joshi, Kenton Lee

CoRR, 2024

2023

Efficient End-to-End Visual Document Understanding with Rationale Distillation.

Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova

CoRR, 2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2023

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces.

Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.

Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova

Proceedings of the International Conference on Machine Learning, 2023

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities.

Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering.

Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos

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

DePlot: One-shot visual language reasoning by plot-to-table translation.

Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

How to train your self-supervised NLP model: Investigating pre-training objectives, data, and scale

Mandar Joshi

PhD thesis, 2022

Few-shot Mining of Naturally Occurring Inputs and Outputs.

Mandar Joshi, Terra Blevins, Mike Lewis, Daniel S. Weld, Luke Zettlemoyer

CoRR, 2022

CM3: A Causal Masked Multimodal Model of the Internet.

Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

CoRR, 2022

HTLM: Hyper-Text Pre-Training and Prompting of Language Models.

Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Passage Retrieval with Zero-Shot Question Generation.

Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions.

Weijia Shi, Mandar Joshi, Luke Zettlemoyer

CoRR, 2021

Realistic Evaluation Principles for Cross-document Coreference Resolution.

Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary.

Terra Blevins, Mandar Joshi, Luke Zettlemoyer

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions.

Weijia Shi, Mandar Joshi, Luke Zettlemoyer

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Cross-document Coreference Resolution over Predicted Mentions.

Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan

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

2020

SpanBERT: Improving Pre-training by Representing and Predicting Spans.

Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy

Trans. Assoc. Comput. Linguistics, 2020

Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling.

Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan

CoRR, 2020

Contextualized Representations Using Textual Encyclopedic Knowledge.

Mandar Joshi, Kenton Lee, Yi Luan, Kristina Toutanova

CoRR, 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

RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov

CoRR, 2019

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference.

Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

BERT for Coreference Resolution: Baselines and Analysis.

Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld

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

2017

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Mandar Joshi, Eunsol Choi, Daniel S. Weld, Luke Zettlemoyer

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2014

Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries.

Mandar Joshi, Uma Sawant, Soumen Chakrabarti

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2012

Hierarchical Action Selection for Reinforcement Learning in Infinite Mario.

Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh A. Deshpande, Shiwali Mohan

Proceedings of the STAIRS 2012, 2012

Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario.

Mandar Joshi, Rakesh Khobragade, Saurabh Sarda, Umesh A. Deshpande, Shiwali Mohan

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

1999

Logic Verification of Very Large Circuits Using Shark.

Jeremy Casas, Hannah Honghua Yang, Manpreet Khaira, Mandar Joshi, Thomas Tetzlaff, Steve W. Otto, Erik Seligman

Proceedings of the 12th International Conference on VLSI Design (VLSI Design 1999), 1999