Logic Verification of Very Large Circuits Using Shark. - Jeremy Casas; Hannah Honghua Yang; Manpreet Khaira; Mandar Joshi; Thomas Tetzlaff; Steve W. Otto; Erik Seligman (VLSI Design, 1999)

Object-Oriented Representation and Hierarchical Reinforcement Learning in Infinite Mario. - Mandar Joshi; Rakesh Khobragade; Saurabh Sarda; Umesh A. Deshpande 001; Shiwali Mohan (ICTAI, 2012)

Hierarchical Action Selection for Reinforcement Learning in Infinite Mario. - Mandar Joshi; Rakesh Khobragade; Saurabh Sarda; Umesh A. Deshpande 001; Shiwali Mohan (STAIRS, 2012)

Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries. - Mandar Joshi; Uma Sawant; Soumen Chakrabarti (EMNLP, 2014)

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension. - Mandar Joshi; Eunsol Choi; Daniel S. Weld; Luke Zettlemoyer (ACL (1), 2017)

BERT for Coreference Resolution: Baselines and Analysis. - Mandar Joshi; Omer Levy; Luke Zettlemoyer; Daniel S. Weld (EMNLP/IJCNLP (1), 2019)

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. - Mandar Joshi; Eunsol Choi; Omer Levy; Daniel S. Weld; Luke Zettlemoyer (NAACL-HLT (1), 2019)

RoBERTa: A Robustly Optimized BERT Pretraining Approach. - Yinhan Liu; Myle Ott; Naman Goyal 001; Jingfei Du; Mandar Joshi; Danqi Chen 001; Omer Levy; Mike Lewis; Luke Zettlemoyer; Veselin Stoyanov (CoRR, 2019)

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

Contextualized Representations Using Textual Encyclopedic Knowledge. - Mandar Joshi; Kenton Lee; Yi Luan; Kristina Toutanova (CoRR, 2020)

Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling. - Arie Cattan; Alon Eirew; Gabriel Stanovsky; Mandar Joshi; Ido Dagan (CoRR, 2020)

SpanBERT: Improving Pre-training by Representing and Predicting Spans. - Mandar Joshi; Danqi Chen 001; Yinhan Liu; Daniel S. Weld; Luke Zettlemoyer; Omer Levy (Trans. Assoc. Comput. Linguistics, 2020)

Cross-document Coreference Resolution over Predicted Mentions. - Arie Cattan; Alon Eirew; Gabriel Stanovsky; Mandar Joshi; Ido Dagan (ACL/IJCNLP (Findings), 2021)

DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions. - Weijia Shi; Mandar Joshi; Luke Zettlemoyer (ACL/IJCNLP (1), 2021)

FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary. - Terra Blevins; Mandar Joshi; Luke Zettlemoyer (EACL, 2021)

Realistic Evaluation Principles for Cross-document Coreference Resolution. - Arie Cattan; Alon Eirew; Gabriel Stanovsky; Mandar Joshi; Ido Dagan (*SEM, 2021)

DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions. - Weijia Shi; Mandar Joshi; Luke Zettlemoyer (CoRR, 2021)

Improving Passage Retrieval with Zero-Shot Question Generation. - Devendra Singh Sachan; Mike Lewis; Mandar Joshi; Armen Aghajanyan; Wen-tau Yih; Joelle Pineau; Luke Zettlemoyer (EMNLP, 2022)

HTLM: Hyper-Text Pre-Training and Prompting of Language Models. - Armen Aghajanyan; Dmytro Okhonko; Mike Lewis; Mandar Joshi; Hu Xu 001; Gargi Ghosh; Luke Zettlemoyer (ICLR, 2022)

CM3: A Causal Masked Multimodal Model of the Internet. - Armen Aghajanyan; Bernie Huang; Candace Ross; Vladimir Karpukhin; Hu Xu 001; Naman Goyal 001; Dmytro Okhonko; Mandar Joshi; Gargi Ghosh; Mike Lewis; Luke Zettlemoyer (CoRR, 2022)

Few-shot Mining of Naturally Occurring Inputs and Outputs. - Mandar Joshi; Terra Blevins; Mike Lewis; Daniel S. Weld; Luke Zettlemoyer (CoRR, 2022)

How to train your self-supervised NLP model: Investigating pre-training objectives, data, and scale - Mandar Joshi (2022)

DePlot: One-shot visual language reasoning by plot-to-table translation. - Fangyu Liu 001; Julian Martin Eisenschlos; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Wenhu Chen; Nigel Collier; Yasemin Altun (ACL (Findings), 2023)

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. - Fangyu Liu 001; Francesco Piccinno; Syrine Krichene; Chenxi Pang; Kenton Lee; Mandar Joshi; Yasemin Altun; Nigel Collier; Julian Martin Eisenschlos (ACL (1), 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 (ICCV, 2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Kenton Lee; Mandar Joshi; Iulia Raluca Turc; Hexiang Hu; Fangyu Liu 001; Julian Martin Eisenschlos; Urvashi Khandelwal; Peter Shaw 004; Ming-Wei Chang; Kristina Toutanova (ICML, 2023)

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Peter Shaw 004; Mandar Joshi; James Cohan; Jonathan Berant; Panupong Pasupat; Hexiang Hu; Urvashi Khandelwal; Kenton Lee; Kristina Toutanova (NeurIPS, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

BAGEL: Bootstrapping Agents by Guiding Exploration with Language. - Shikhar Murty; Christopher D. Manning; Peter Shaw 004; Mandar Joshi; Kenton Lee (ICML, 2024)

Efficient End-to-End Visual Document Understanding with Rationale Distillation. - Wang Zhu 001; Alekh Agarwal; Mandar Joshi; Robin Jia; Jesse Thomason; Kristina Toutanova (NAACL-HLT, 2024)