2024

P3

Shruti Singh and Rishabh Gupta, Sparse Graph Representations for Procedural Instructional Documents, arXiv preprint arXiv:2402.03957 (2024). [PDF] 

P2

David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, and Arman Cohan, SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature, arXiv preprint arXiv:2406.07835 (2024). [PDF]

C41

Shruti Singh and Mayank Singh, CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles, Scholarly Document Processing Workshop at Association for Computational Linguistics 2024. [PDF]

C40

Shruti Singh, Shoaib Alam, Husain Malwat, and Mayank Singh, LEGOBench: Scientific Leaderboard Generation Benchmark, Findings of Empirical Methods in Natural Language Processing 2024. [PDF]

C39

Shruti Singh, Nandan Sarkar, and Arman Cohan, SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers, Empirical Methods in Natural Language Processing 2024. [PDF]

C38

Sheth, Rajvee, Shubh Nisar, Heenaben Prajapati, Himanshu Beniwal, and Mayank Singh, Commentator: A Code-mixed Multilingual Text Annotation Framework, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2024. [PDF]

C37

Yadav, Ankit, Himanshu Beniwal, and Mayank Singh, PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs, In Findings of the Association for Computational Linguistics: EMNLP 2024. [PDF]

C36

Beniwal, Himanshu, Dishant Patel, D. Kowsik, Hritik Ladia, Ankit Yadav, and Mayank Singh, Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models, In Findings of the Association for Computational Linguistics: EMNLP 2024.  [PDF]

C35

Himanshu Beniwal, Kowsik Nandagopan D, and Mayank Singh, Cross-lingual Editing in Multilingual Language Models, EACL 2024[PDF]

C34

Akash Ghosh, Venkata Sahith Bathini, Niloy Ganguly, Pawan Goyal and Mayank Singh How Robust are the QA Models for Hybrid Scientific Tabular Data? A Study using Customized Dataset, LREC-COLING 2024. 

2023

P1

Shruti Singh, Hitesh Lodwal, Husain Malwat, Rakesh Thakur, and Mayank Singh, Unlocking Model Insights: A Dataset for Automated Model Card Generation, arXiv preprint arXiv:2309.12616 (2023). [PDF]

C33

Pritam Kadasi and Mayank Singh Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance EMNLP 2023 [PDF]

C32

Shivasankaran V P, Muhammad Yusuf Hassan and Mayank Singh LineEX: Data Extraction from Scientific Line Charts IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) [DOI] [PDF]

C31

Rahul Gupta, Vivek Srivastava and Mayank Singh MUTANT: A Multi-sentential Code-mixed Hinglish Dataset  In findings of 17th Conference of the European Chapter of the Association for Computational Linguistics [DOI] [PDF]

W13

Dwip Dalal, Vivek Srivastava and Mayank Singh MMT: A Multilingual and Multi-Topic Indian Social Media Dataset Workshop on Cross-Cultural Considerations in NLP [DOI] [PDF] 

2022

C30

Shruti Singh, Pankaj Pandey, Shivam Chaudhary, Krishna Miyapuram, and Derek Lomas, Towards Development of Personalized and Generalized Interfaces for Brain Signals across Different Styles of Meditation, ICVGIP 2022.[PDF]

C29

Ayush Kumar, Dhyey Jani, Jay Shah, Devanshu Thakar, Varun Jain and Mayank Singh The Bull and the Bear : Summarizing Stock Market Discussions Findings Proceeding of the Language Resources and Evaluation Conference : LREC [DOI] [PDF]

C28

Shruti Singh and Mayank Singh The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through Findings of ACL [DOI] [PDF]

J8

Pratik Kayal, Mrinal Anand, Harsh Desai and Mayank Singh Tables to LaTeX: structure and content extraction from scientific tables FindingsInternational Journal on Document Analysis and Recognition IJDAR [DOI] [PDF]

C27

Vivek Srivastava and Mayank Singh Code-mixed NLG : resources, metrics, and Challenges 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD) [DOI] [PDF]

S7

Harsh Patel, Shivam Sahni, Varun Jain, Praveen Venkatesh, Mrinal Anand and Mayank Singh Program Synthesis: Does Feedback Help?  In YRS at CoDS COMAD [DOI] [PDF]

S6

Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni and Mayank Singh Indian Classical Music Synthesis In YRS at CoDS COMAD [DOI] [PDF]

J7

Gaurav Gangwal, Utkarsh, Pradumn Kumar Pandey, Deepak Kamboj, Samrat Chatterjee, Udit  Bhatia and Mayank Singh Identifying early-warning indicators of onset of sudden collapse in networked infrastructure systems against sequential disruptions Physica A: Statistical Mechanics and its Applications [DOI] [PDF]

2021

W12

Mrinal Anand, Pratik Kayal, Mayank Singh Adversarial Robustness of Program Synthesis Models In AIPLANS at NeurIPS [URL] [PDF]

W11

Mrinal Anand, Pratik Kayal, Mayank Singh AutoCoder: Leveraging Transformers for Automatic Code Synthesis In AIPLANS at NeurIPS [URL] [PDF]

W10

Vivek Srivastava and Mayank Singh PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger W-NUT [DOI] [PDF]

W9

Ayush Garg, Sammed Kagi, Vivek Srivastava and Mayank Singh MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation Eval4NLP [DOI] [PDF]

W8

Vivek Srivastava and Mayank Singh HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text Eval4NLP [DOI] [PDF]

C26

Naman Jain and Mayank Singh TweetPap: A Dataset to Study the Social Media Discourse of Scientific Papers Poster and Demo, JCDL [PDF]

C25

Shruti Singh, Mayank Singh and Pawan Goyal COMPARE: A  Taxonomy and Dataset of Comparison Discussions in Peer Reviews JCDL [PDF]

C24

Viraj Shah, Shruti Singh and Mayank Singh TweeNLP: A Twitter Exploration Portal for Natural Language Processing  Poster and Demo, ACL-IJCNLP [DOI] [PDF]

W7

Vivek Srivastava and Mayank Singh Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text. CALCS [DOI] [PDF]

C23

Harsh Desai, Pratik Kayal and Mayank Singh TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables Poster and Demo, ICDAR [DOI] [PDF]

C22

Rishiraj Adhikary, Zeel B Patel, Tanmay Srivastava, Nipun Batra, Mayank Singh and Udit Bhatia Vartalaap: What Drives #AirQuality Discussions: Politics, Pollution or Pseudo-science? CSCW [DOI] [PDF]

J6

Nidhin Harilal, Mayank Singh and Udit Bhatia Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections IEEE Access [DOI] [PDF]

S5

Aarchi Agrawal, Athulkumar R, K S Ashin Shanly, Kavita Vaishnaw and Mayank Singh Reverse Dictionary Using an Improved CBoW Model In YRS at CoDS COMAD [DOI] [PDF]

S4

Mihir Jain, Tanmay Sharma, Aman, Shruti Singh and Mayank Singh Genealogical Tree Construction of Research Paper In YRS at CoDS COMAD [DOI] [PDF]

S3

Ronak Kaoshik, Rohit Patil, Prakash R, Shaurya Agarawal, Naman Jain and Mayank Singh ACL-SQL: Generating SQL Queries from Natural Language In YRS at CoDS COMAD [DOI] [PDF]

S2

Mohamed Shamir, Arpit Kaushal, Kalyan Reddy, Kavita Vaishnaw and Mayank Singh Review based recommendations with Human-like reasons In YRS at CoDS COMAD [DOI] [PDF]

J5

Pradumn Kumar Pandey and Mayank Singh Quantifying Non-randomness in Evolving Networks IEEE Transactions on Computational Social Systems [DOI] [PDF]

C21

Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari and Mayank Singh CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information Poster and Demo, CIKM [DOI] [PDF]

W6

Shriraj Sawant and Shruti Singh, Understanding Attention: In Minds and Machines ML-Retrospectives, Surveys & Meta-Analyses Workshop at NeurIPS 2020. [PDF]

W5

Vivek Srivastava and Mayank Singh PHINC: A parallel Hinglish social media code-mixed corpus for machine translation In W-NUT at EMNLP [DOI] [PDF]

W4

Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari and Mayank Singh COVIDExplorer: Exploring the Universe of COVID-19 Knowledge In SciNLP at AKBC [PDF]

W3

Vivek Srivastava and Mayank Singh IIT Gandhinagar at SemEval-2020 task 9: code mixed sentiment classification using candidate sentence generation and selection In SemEval at COLING [URL] [PDF]

C20

Ayush Garg, Sammed Kagi and Mayank Singh SEAL: Scientific Keyphrase Extraction and Classification Demo, JCDL [DOI] [PDF]

C19

Atharva Vyas, Heer Ambavi, Sayantan Adak, Shivam Patel, Pritam Kadasi, Mayank Singh and Animesh Mukherjee Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network Demo, JCDL [DOI] [PDF]

C18

Manas Satish Bedmutha, Kaushal Modi, Kevin Patel, Naman Jain and Mayank Singh PredCheck: detecting predatory behaviour in scholarly world Poster, JCDL [DOI] [PDF]

C17

Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey and Animesh Mukherjee Identification, tracking and impact: understanding the trade secret of catchphrases  JCDL [DOI] [PDF]

J4

Pradumn Kumar Pandey, Mayank Singh, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti Analysis of Reference and Citation Copying in Evolving Bibliographic Networks  Journal of Informetrics [DOI] [PDF]

C16

Monarch Parmar, Naman Jain, Pranjali Jain, Jayakrishna Sahit, Soham Pachpande, Shruti Singh and Mayank Singh NLPExplorer: Exploring the Universe of NLP Papers Demo, ECIR [DOI] [PDF]

C15

Pratik Kayal, Mayank Singh and Pawan Goyal Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification CoDS-COMAD [DOI] [PDF]

C14

Mayank Singh, Arindam Pal, Lipika Dey and Animesh Mukherjee Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies  CoDS-COMAD [DOI] [PDF]

2019

J3

Pradumn Kumar Pandey, Mayank Singh MSP-N: Multiple selection procedure with ‘N’ possible growth mechanisms PLOS ONE [DOI] [PDF]

C13

Naman Jain, Mayank Singh The evolving ecosystem of predatory journals: a case study in Indian perspective ICADL [DOI] [PDF]

C12

Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee The Rise and Rise of Interdisciplinary Research: Understanding the Interaction Dynamics of Three Major Fields–Physics, Mathematics and Computer Science ICADL [DOI] [PDF]

C11

Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti Automated early leaderboard generation from comparative tables ECIR [DOI] [PDF]

W2

Arik Pamnani, Rajat Goel, Jayesh Choudhari, Mayank Singh IIT Gandhinagar at SemEval-2019 Task 3: contextual emotion detection using deep learning In SemEval at ACL [DOI] [PDF]

C10

Heer Ambavi, Ayush Garg, Nitiksha, Mridul Sharma, Rohit Sharma, Jayesh Choudhary, Mayank Singh BioGen: automated biography generation JCDL [DOI] [PDF]

C9

Naman Jain, Pranjali Jain, Pratik Kayal, Jayakrishna Sahit, Soham Pachpande, Jayesh Choudhary, Mayank Singh AgriBot: agriculture-specific question answer system ICSTEM- Vibrant Gujarat [DOI] [PDF]

2018

C8

Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee Cl scholar: The acl anthology knowledge graph miner  Demo, NAACL [DOI] [PDF]

S1

Mayank Singh Understanding Popularity of Academic Entities: From Papers to Authors to Venues  In IEEE-TCDL at JCDL [PDF]

2017

C7

Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti Relay-linking models for prominence and obsolescence in evolving networks  SIGKDD [DOI] [PDF]

C6

Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee, Pawan Goyal Understanding the impact of early citers on long-term scientific impact JCDL [DOI] [PDF]

C5

Mayank Singh, Abhishek Niranjan, Divyansh Gupta, Nikhil Angad Bakshi, Animesh Mukherjee, Pawan Goyal Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science  JCDL [DOI] [PDF]

W1

Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee AppTechMiner: Mining Applications and Techniques from Scientific Articles  In WOSP at JCDL [DOI] [PDF]

2016

C4

Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee OCR++: A Robust Framework For Information Extraction from Scholarly Articles COLING [PDF]

C3

Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Pawan Goyal, Niloy Ganguly, Animesh Mukherjee FeRoSA: A Faceted Recommendation System for Scientific Articles PAKDD [DOI] [PDF]

J2

Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal Is this conference a top-tier? ConfAssist: An assistive conflict resolution framework for conference categorization Journal Of Informetrics [DOI] [PDF]

2015

C2

Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal The role of citation context in predicting long-term citation profiles: An experimental study based on a massive bibliographic text dataset CIKM [DOI] [PDF]

C1

Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal ConfAssist: A Conflict resolution framework for assisting the categorization of Computer Science conferences  JCDL [DOI] [PDF]

J1

Mayank Singh, Soumajit Pramanik, Tanmoy Chakraborty  PubIndia: A Framework for Analyzing Indian Research Publications in Computer Sciences D-Lib Magazine [DOI] [PDF]