Mayank Singh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
24
Active years
2007–2026
Best venue rank
A*
Where they publish
- NationalCOMAD9 papers
- A*EMNLP8 papers
- A*ACL4 papers
- AWACV4 papers
- AECIR3 papers
- BCOLING2 papers
- AEACL2 papers
- A*KDD2 papers
- AICDAR2 papers
- ACIKM2 papers
- CQshine2 papers
- A*ICRA1 paper
- AICWSM1 paper
- NationalCOMSNETS1 paper
- A*ICLR1 paper
- BLREC1 paper
- BINLG1 paper
- A*ECCV1 paper
- NationalNSDI1 paper
- A*IJCAI1 paper
- ANAACL1 paper
- BPAKDD1 paper
- NationalISVC1 paper
- Journal PublishedPG1 paper
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond Monolingual Assumptions: A Survey on Code-Switched NLP in the Era of Large Language Models across Modalities. | Rajvee Sheth, Samridhi Raj Sinha, Mahavir Patil, Himanshu Beniwal, Mayank Singh |
| 2026 | ACL | Grammar Search for Multi-Agent Systems. | Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, Shravan Nayak, Sai Rajeswar, Sathwik Tejaswi Madhusudhan, Eduardo Blanco |
| 2026 | ECIR | SynIRgy: Synthetic Data and Simulation Synergy for Information Retrieval. | Manel Slokom, Alejandro Bellogn, Mayank Singh, Andrea Barraza-Urbina |
| 2025 | EMNLP | UnityAI Guard: Pioneering Toxicity Detection Across Low-Resource Indian Languages. | Himanshu Beniwal, Reddybathuni Venkat, Rohit Kumar, Birudugadda Srivibhav, Daksh Jain, Pavan Doddi, Eshwar Dhande, Adithya Ananth, Kuldeep, Mayank Singh |
| 2025 | EMNLP | COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing. | Rajvee Sheth, Himanshu Beniwal, Mayank Singh |
| 2025 | ICRA | Dynamic Mode Decomposition with Sonomyography and Electromyography for Predictive Modeling of Lower Limb Exoskeleton Walking. | Krysten Lambeth, Xiangming Xue, Mayank Singh, He Helen Huang, Nitin Sharma |
| 2025 | ICWSM | Model Hubs and Beyond: Analyzing Model Popularity, Performance, and Documentation. | Pritam Kadasi, Sriman Reddy Kondam, Srivathsa Vamsi Chaturvedula, Rudranshu Sen, Agnish Saha, Soumavo Sikdar, Sayani Sarkar, Suhani Mittal, Rohit Jindal, Mayank Singh |
| 2024 | COLING | How Robust Are the QA Models for Hybrid Scientific Tabular Data? A Study Using Customized Dataset. | Akash Ghosh, Venkata Sahith Bathini, Niloy Ganguly, Pawan Goyal, Mayank Singh |
| 2024 | COMSNETS | Study of Traffic Simulation Model for Heterogeneous Traffic. | Mayank Singh, Archana Nigam, Sanjay Srivastava |
| 2024 | EACL | Cross-lingual Editing in Multilingual Language Models. | Himanshu Beniwal, Kowsik Nandagopan D, Mayank Singh |
| 2024 | EMNLP | Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models. | Himanshu Beniwal, Dishant Patel, Kowsik Nandagopan D, Hritik Ladia, Ankit Yadav, Mayank Singh |
| 2024 | EMNLP | Commentator: A Code-mixed Multilingual Text Annotation Framework. | Rajvee Sheth, Shubh Nisar, Heenaben Prajapati, Himanshu Beniwal, Mayank Singh |
| 2024 | EMNLP | Learning to Generate Rules for Realistic Few-Shot Relation Classification: An Encoder-Decoder Approach. | Mayank Singh, Eduardo Blanco |
| 2024 | EMNLP | LEGOBench: Scientific Leaderboard Generation Benchmark. | Shruti Singh, Shoaib Alam, Husain Malwat, Mayank Singh |
| 2024 | EMNLP | PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs. | Ankit Yadav, Himanshu Beniwal, Mayank Singh |
| 2023 | EACL | MUTANT: A Multi-sentential Code-mixed Hinglish Dataset. | Rahul Gupta, Vivek Srivastava, Mayank Singh |
| 2023 | EMNLP | Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance. | Pritam Kadasi, Mayank Singh |
| 2023 | ICLR | Analogy-Forming Transformers for Few-Shot 3D Parsing. | Nikolaos Gkanatsios, Mayank Singh, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki |
| 2023 | KDD | Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce. | Mayank Singh, Emily Ray, Marc Ferradou, Andrea Barraza-Urbina |
| 2023 | WACV | LineEX: Data Extraction from Scientific Line Charts. | Shivasankaran V. P, Muhammad Yusuf Hassan, Mayank Singh |
| 2022 | ACL | The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through. | Shruti Singh, Mayank Singh |
| 2022 | COMAD | Program Synthesis: Does Feedback Help? | Harsh M. Patel, Praveen Venkatesh, Shivam Sahni, Varun Jain, Mrinal Anand, Mayank Singh |
| 2022 | COMAD | Code-Mixed NLG: Resources, Metrics, and Challenges. | Vivek Srivastava, Mayank Singh |
| 2022 | COMAD | Indian Classical Music Synthesis. | Gaurav Viramgami, Hitarth Gandhi, Hrushti Naik, Nipun Mahajan, Praveen Venkatesh, Shivam Sahni, Mayank Singh |
| 2022 | LREC | The Bull and the Bear: Summarizing Stock Market Discussions. | Ayush Kumar, Dhyey Jani, Jay Shah, Devanshu Thakar, Varun Jain, Mayank Singh |
| 2022 | WACV | Data InStance Prior (DISP) in Generative Adversarial Networks. | Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian |
| 2021 | ACL | TweeNLP: A Twitter Exploration Portal for Natural Language Processing. | Viraj Shah, Shruti Singh, Mayank Singh |
| 2021 | COMAD | Reverse Dictionary Using an Improved CBoW Model. | Aarchi Agrawal, Athulkumar R, K. S. Ashin Shanly, Kavita Vaishnaw, Mayank Singh |
| 2021 | COMAD | Genealogical Tree Construction of Research Paper. | Mihir Jain, Tanmay Sharma, Aman, Shruti Singh, Mayank Singh |
| 2021 | COMAD | ACL-SQL: Generating SQL Queries from Natural Language. | Ronak Kaoshik, Rohit Patil, Prakash R, Shaurya Agarawal, Naman Jain, Mayank Singh |
| 2021 | COMAD | Review Based Recommendations with Human-like Reasons. | Mohamed Shamir, Arpit Kaushal, Kalyan Reddy, Kavita Vaishnaw, Mayank Singh |
| 2021 | ICDAR | TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables. | Harsh Desai, Pratik Kayal, Mayank Singh |
| 2021 | ICDAR | ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX. | Pratik Kayal, Mrinal Anand, Harsh Desai, Mayank Singh |
| 2021 | INLG | Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text. | Vivek Srivastava, Mayank Singh |
| 2021 | WACV | LT-GAN: Self-Supervised GAN with Latent Transformation Detection. | Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy |
| 2020 | CIKM | CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information. | Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari, Mayank Singh |
| 2020 | COMAD | Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification. | Pratik Kayal, Mayank Singh, Pawan Goyal |
| 2020 | COMAD | Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies. | Mayank Singh, Arindam Pal, Lipika Dey, Animesh Mukherjee |
| 2020 | ECCV | Attributional Robustness Training Using Input-Gradient Spatial Alignment. | Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy |
| 2020 | ECIR | NLPExplorer: Exploring the Universe of NLP Papers. | Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh, Mayank Singh |
| 2020 | NSDI | Fawkes: Faster Mobile Page Loads via App-Inspired Static Templating. | Shaghayegh Mardani, Mayank Singh, Ravi Netravali |
| 2020 | WACV | Charting the Right Manifold: Manifold Mixup for Few-shot Learning. | Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy |
| 2019 | ECIR | Automated Early Leaderboard Generation from Comparative Tables. | Mayank Singh, Rajdeep Sarkar, Atharva Vyas, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti |
| 2019 | IJCAI | Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. | Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian |
| 2018 | NAACL | CL Scholar: The ACL Anthology Knowledge Graph Miner. | Mayank Singh, Pradeep Dogga, Sohan Patro, Dhiraj Barnwal, Ritam Dutt, Rajarshi Haldar, Pawan Goyal, Animesh Mukherjee |
| 2017 | KDD | Relay-Linking Models for Prominence and Obsolescence in Evolving Networks. | Mayank Singh, Rajdeep Sarkar, Pawan Goyal, Animesh Mukherjee, Soumen Chakrabarti |
| 2016 | COLING | OCR++: A Robust Framework For Information Extraction from Scholarly Articles. | Mayank Singh, Barnopriyo Barua, Priyank Palod, Manvi Garg, Sidhartha Satapathy, Samuel Bushi, Kumar Ayush, Krishna Sai Rohith, Tulasi Gamidi, Pawan Goyal, Animesh Mukherjee |
| 2016 | PAKDD | FeRoSA: A Faceted Recommendation System for Scientific Articles. | Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee |
| 2015 | CIKM | The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset. | Mayank Singh, Vikas Patidar, Suhansanu Kumar, Tanmoy Chakraborty, Animesh Mukherjee, Pawan Goyal |
| 2013 | Qshine | Detailed Dominant Approach Cloud Computing Integration with WSN. | Niranjan Lal, Shamimul Qamar, Mayank Singh |
| 2013 | Qshine | Detailed Dominant Approach Cloud Computing Integration with WSN. | Niranjan Lal, Shamimul Qamar, Mayank Singh |
| 2009 | ISVC | Fast Occlusion Sweeping. | Mayank Singh, Cem Yuksel, Donald H. House |
| 2007 | PG | Line Drawing as a Dynamic Process. | Donald H. House, Mayank Singh |