Thesis
Defended in February, 2019
Title: Knowledge Extraction, Growth Study and Impact Prediction for Scientific Documents. [PDF]
Publications
2025
| C41 |
Rajvee Sheth, Himanshu Beniwal, Mayank Singh COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing EMNLP 2025 (Findings) [DOI] [PDF] |
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| C40 |
Himanshu Beniwal, Sailesh Panda, Birudugadda Srivibhav, Mayank Singh Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs BlackboxNLP @ EMNLP 2025 [DOI] [PDF] |
| C39 |
Pritam Kadasi, Sriman Reddy Kondam, Srivathsa Vamsi Chaturvedula, Rudranshu Sen, Agnish Saha, Soumavo Sikdar, Sayani Sarkar, Suhani Mittal, Rohit Jindal, Mayank Singh Model Hubs and Beyond: Analyzing Model Popularity, Performance, and Documentation ICWSM 2025 [DOI] [PDF] |
| P02 |
Samridhi Raj Sinha, Rajvee Sheth, Abhishek Upperwal, Mayank Singh Eka-Eval: A Comprehensive Evaluation Framework for Large Language Models in Indian Languages arXiv preprint arXiv:2507.01853 (2025) [DOI] [PDF] |
2024
| W13 |
Shruti Singh and Mayank Singh CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles Scholarly Document Processing Workshop at ACL 2024 [DOI] [PDF] |
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| C38 |
Shruti Singh, Shoaib Alam, Husain Malwat, and Mayank Singh LEGOBench: Scientific Leaderboard Generation Benchmark Findings of Empirical Methods in Natural Language Processing 2024 [DOI] [PDF] |
| C37 |
Rajvee Sheth, Shubh Nisar, Heenaben Prajapati, Himanshu Beniwal, and Mayank Singh Commentator: A Code-mixed Multilingual Text Annotation Framework EMNLP 2024: System Demonstrations [DOI] [PDF] |
| C36 |
Yadav, Ankit, Himanshu Beniwal, and Mayank Singh PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs Findings of the Association for Computational Linguistics: EMNLP 2024 [DOI] [PDF] |
| C35 |
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 Findings of the Association for Computational Linguistics: EMNLP 2024 [DOI] [PDF] |
| C34 |
Himanshu Beniwal, Kowsik Nandagopan D, and Mayank Singh Cross-lingual Editing in Multilingual Language Models EACL 2024 [DOI] [PDF] |
| C33 |
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 [DOI] [PDF] |
2023
| P01 |
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 [DOI] [PDF] |
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| C32 |
Pritam Kadasi and Mayank Singh Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance EMNLP 2023 [DOI] [PDF] |
| C31 | 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] |
| C30 | 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] |
| W12 | 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
| 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] |
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| 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
| W11 | Mrinal Anand, Pratik Kayal, Mayank Singh Adversarial Robustness of Program Synthesis Models In AIPLANS at NeurIPS [URL] [PDF] |
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| W10 | Mrinal Anand, Pratik Kayal, Mayank Singh AutoCoder: Leveraging Transformers for Automatic Code Synthesis In AIPLANS at NeurIPS [URL] [PDF] |
| W9 | Vivek Srivastava and Mayank Singh PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger W-NUT [DOI] [PDF] |
| W8 | Ayush Garg, Sammed Kagi, Vivek Srivastava and Mayank Singh MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation Eval4NLP [DOI] [PDF] |
| W7 | 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] |
| W6 | 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] |
2020
| J5 | Pradumn Kumar Pandey and Mayank Singh Quantifying Non-randomness in Evolving Networks IEEE Transactions on Computational Social Systems [DOI] [PDF] |
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| 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] |
| 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] |
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| 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] |
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| 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] |
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| 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] |
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| J2 | Mayank Singh, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal ConfAssist: A Conflict resolution framework for assisting the categorization of Computer Science conferences JCDL [DOI] [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] |
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] |
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| 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] |