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ORCIDPuneet Mathur
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2020 – today
- 2024
[c44]Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang:
DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation. LREC/COLING 2024: 5132-5139- [c43]Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain:
DocScript: Document-level Script Event Prediction. LREC/COLING 2024: 5140-5155 - [c42]Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha:
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING 2024: 14285-14297 - [c41]Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
Doc2Command: Furthering Language Guided Document Editing. Tiny Papers @ ICLR 2024 - [i7]Sanket Biswas, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Puneet Mathur, Curtis Wigington, Tong Sun, Josep Lladós:
DocSynthv2: A Practical Autoregressive Modeling for Document Generation. CoRR abs/2406.08354 (2024) - 2023
- [b1]Puneet Mathur:
Document Information Extraction, Structure Understanding and manipulation. University of Maryland, College Park, MD, USA, 2023 - [j2]Weidan Cao, Lang Li, Puneet Mathur, John Thompson, M. Wesley Milks:
A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability. BMC Medical Informatics Decis. Mak. 23(1): 128 (2023) - [c40]Puneet Mathur, Rajiv Jain, Jiuxiang Gu, Franck Dernoncourt, Dinesh Manocha, Vlad I. Morariu:
DocEdit: Language-Guided Document Editing. AAAI 2023: 1914-1922 - [c39]Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang:
PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation. EMNLP (Findings) 2023: 11314-11328 - [c38]Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu:
LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. WACV 2023: 3599-3609 - 2022
- [c37]Vikram Gupta, Trisha Mittal, Puneet Mathur, Vaibhav Mishra, Mayank Maheshwari, Aniket Bera, Debdoot Mukherjee, Dinesh Manocha:
3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos. CVPR 2022: 21032-21043 - [c36]Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh:
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP 2022: 809-824 - [c35]Puneet Mathur, Mihir Goyal, Ramit Sawhney, Ritik Mathur, Jochen L. Leidner, Franck Dernoncourt, Dinesh Manocha:
DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents. EMNLP (Findings) 2022: 1933-1940 - [c34]Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha:
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. INTERSPEECH 2022: 451-455 - [c33]Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha:
PISA: PoIncaré Saliency-Aware Interpolative Augmentation. INTERSPEECH 2022: 2663-2667 - [c32]Puneet Mathur, Atula Tejaswi Neerkaje, Malika Chhibber, Ramit Sawhney, Fuming Guo, Franck Dernoncourt, Sanghamitra Dutta, Dinesh Manocha:
MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues. ACM Multimedia 2022: 2276-2285 - [c31]Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain:
DocTime: A Document-level Temporal Dependency Graph Parser. NAACL-HLT 2022: 993-1009 - [i6]Vikram Gupta, Trisha Mittal, Puneet Mathur, Vaibhav Mishra, Mayank Maheshwari, Aniket Bera, Debdoot Mukherjee, Dinesh Manocha:
3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos. CoRR abs/2203.14456 (2022) - [i5]Trisha Mittal, Puneet Mathur, Rohan Chandra, Apurva Bhatt, Vikram Gupta, Debdoot Mukherjee, Aniket Bera, Dinesh Manocha:
Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs. CoRR abs/2207.07165 (2022) - 2021
- [c30]Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad I. Morariu, Quan Hung Tran, Dinesh Manocha:
TIMERS: Document-level Temporal Relation Extraction. ACL/IJCNLP (2) 2021: 524-533 - [c29]Ramit Sawhney, Mihir Goyal, Prakhar Goel, Puneet Mathur, Rajiv Ratn Shah:
Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines. ACL/IJCNLP (1) 2021: 6751-6762 - [c28]Trisha Mittal, Puneet Mathur, Aniket Bera, Dinesh Manocha:
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality. CVPR 2021: 5661-5671 - [c27]Puneet Mathur, Trisha Mittal, Dinesh Manocha:
Dynamic Graph Modeling Of Simultaneous EEG And Eye-Tracking Data For Reading Task Identification. ICASSP 2021: 1250-1254 - [c26]Suransh Chopra, Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Meta-Learning for Low-Resource Speech Emotion Recognition. ICASSP 2021: 6259-6263 - [c25]Ramit Sawhney, Puneet Mathur, Taru Jain, Akash Kumar Gautam, Rajiv Ratn Shah:
Multitask Learning for Emotionally Analyzing Sexual Abuse Disclosures. NAACL-HLT 2021: 4881-4892 - [i4]Puneet Mathur, Trisha Mittal, Dinesh Manocha:
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification. CoRR abs/2102.11922 (2021) - [i3]Trisha Mittal, Puneet Mathur, Aniket Bera, Dinesh Manocha:
Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality. CoRR abs/2103.06541 (2021) - 2020
- [c24]Shivang Chopra
, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives. AAAI 2020: 386-393 - [c23]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract). AAAI 2020: 13749-13750 - [c22]Palak Goenka, Mehak Piplani, Ramit Sawhney, Puneet Mathur, Rajiv Ratn Shah:
ESAS: Towards Practical and Explainable Short Answer Scoring (Student Abstract). AAAI 2020: 13797-13798 - [c21]Puneet Mathur, Ramit Sawhney, Rajiv Ratn Shah:
Suicide Risk Assessment via Temporal Psycholinguistic Modeling (Student Abstract). AAAI 2020: 13873-13874 - [c20]Puneet Mathur, Ramit Sawhney, Shivang Chopra, Maitree Leekha, Rajiv Ratn Shah:
Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation. ECIR (2) 2020: 265-271 - [c19]Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Taru Jain, Puneet Mathur, Rajiv Ratn Shah:
VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. EMNLP (1) 2020: 8001-8013 - [c18]Puneet Mathur, Mehak Piplani, Ramit Sawhney, Amit Jindal, Rajiv Ratn Shah:
Mixup Multi-Attention Multi-Tasking Model for Early-Stage Leukemia Identification. ICASSP 2020: 1045-1049 - [c17]Shishira R. Maiya, Puneet Mathur:
Rethinking Retinal Landmark Localization as Pose Estimation: Naïve Single Stacked Network for Optic Disk and Fovea Detection. ICASSP 2020: 1125-1129 - [c16]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. ICWSM 2020: 209-216 - [c15]Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain, Rajiv Ratn Shah:
Risk Forecasting from Earnings Calls Acoustics and Network Correlations. INTERSPEECH 2020: 2307-2311 - [c14]Ramit Sawhney, Puneet Mathur, Ayush Mangal, Piyush Khanna, Rajiv Ratn Shah, Roger Zimmermann:
Multimodal Multi-Task Financial Risk Forecasting. ACM Multimedia 2020: 456-465 - [i2]Gyanesh Anand, Akash Kumar Gautam, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah, Ramit Sawhney:
An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms. CoRR abs/2001.09215 (2020)
2010 – 2019
- 2019
- [c13]Arijit Ghosh Chowdhury, Ramit Sawhney, Puneet Mathur, Debanjan Mahata, Rajiv Ratn Shah:
Speak up, Fight Back! Detection of Social Media Disclosures of Sexual Harassment. NAACL-HLT (Student Research Workshop) 2019: 136-146 - [c12]Rohan Mishra, Pradyumna Prakhar Sinha, Ramit Sawhney, Debanjan Mahata, Puneet Mathur, Rajiv Ratn Shah:
SNAP-BATNET: Cascading Author Profiling and Social Network Graphs for Suicide Ideation Detection on Social Media. NAACL-HLT (Student Research Workshop) 2019: 147-156 - [c11]Puneet Mathur, Meghna Ayyar, Rajiv Ratn Shah, Sg Sharma:
Exploring Classification of Histological Disease Biomarkers From Renal Biopsy Images. WACV 2019: 81-90 - [i1]Akash Kumar Gautam, Puneet Mathur, Rakesh Gosangi, Debanjan Mahata, Ramit Sawhney, Rajiv Ratn Shah:
#MeTooMA: Multi-Aspect Annotations of Tweets Related to the MeToo Movement. CoRR abs/1912.06927 (2019) - 2018
- [c10]Puneet Mathur, Ramit Sawhney, Meghna Ayyar, Rajiv Ratn Shah:
Did you offend me? Classification of Offensive Tweets in Hinglish Language. ALW 2018: 138-148 - [c9]Puneet Mathur, Rajiv Ratn Shah, Ramit Sawhney, Debanjan Mahata:
Detecting Offensive Tweets in Hindi-English Code-Switched Language. SocialNLP@ACL 2018: 18-26 - [c8]Ramit Sawhney, Puneet Mathur, Ravi Shankar:
A Firefly Algorithm Based Wrapper-Penalty Feature Selection Method for Cancer Diagnosis. ICCSA (1) 2018: 438-449 - [c7]Meghna Ayyar, Puneet Mathur, Rajiv Ratn Shah, Shree G. Sharma:
Harnessing AI for Kidney Glomeruli Classification. ISM 2018: 17-20 - [c6]Puneet Mathur, Meghna Ayyar, Sahil Chopra, Simra Shahid, Laiba Mehnaz, Rajiv Shah:
Identification of Emergency Blood Donation Request on Twitter. SMM4H@EMNLP 2018: 27-31 - [c5]Ramit Sawhney, Prachi Manchanda, Puneet Mathur, Rajiv Ratn Shah, Raj Singh:
Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning. WASSA@EMNLP 2018: 167-175 - 2016
- [j1]Po-Yin Yen, Barbara A. Lara, Marcelo A. Lopetegui, Aseem Bharat, Stacy Ardoin, Bernadette Johnson, Puneet Mathur, Peter J. Embí, Jeffrey R. Curtis:
Usability and Workflow Evaluation of "RhEumAtic Disease activitY" (READY). Appl. Clin. Inform. 07(04): 1007-1024 (2016) - [c4]Puneet Mathur, Kim Leonard, Jeremy R. Harper, Joshua Yoder, Omkar Lele, Peter J. Embí:
Design of a Scalable and Affordable Local Research Registry Pipeline. CRI 2016 - 2015
- [c3]Puneet Mathur, Leslie A. Southern, Aseem Bharat, Shunchao Wang, Chris Heckler, Omkar Lele, Peter J. Embí, Jeffrey R. Curtis:
High Level Architecture and Evaluation of Patient Linkages for READY - An Electronic Measurement Tool for Rheumatoid Arthritis. AMIA 2015 - 2013
- [c2]Omkar Lele, Puneet Mathur, Sandeep Chatra Raveesh, Satyajeet Raje, Tara Borlawsky, Philip R. O. Payne:
Utilization of Hadoop Framework to Enable Semantic Search over Big Data. AMIA 2013 - 2012
- [c1]Puneet Mathur, Omkar Lele, Ankush Srivastava, Po-Yin Yen:
User Interface Design for Research Integrative Query (ResearchIQ)- An Ontology-anchored Interactive Query Tool. AMIA 2012
Coauthor Index
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