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]
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]
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
W6
Shriraj Sawant and Shruti Singh, Understanding Attention: In Minds and Machines ML-Retrospectives, Surveys & Meta-Analyses Workshop at NeurIPS 2020. [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]
2019
2018
S1
Mayank Singh
Understanding Popularity of Academic Entities: From Papers to Authors to Venues In IEEE-TCDL at JCDL [PDF]
2017
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]