15 citations · 22 across the 10 of their papers we have counts for
5 papers · 1 filter
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized Dataset
Akash Ghosh, B Venkata Sahith, Niloy Ganguly +2
Question-answering (QA) on hybrid scientific tabular and textual data deals with scientific information, and relies on complex numerical reasoning. In recent years, while tabular Q…
Cross-lingual Editing in Multilingual Language Models
Himanshu Beniwal, Kowsik Nandagopan D, Mayank Singh
The training of large language models (LLMs) necessitates substantial data and computational resources, and updating outdated LLMs entails significant efforts and resources. While…
Unveiling the Multi-Annotation Process: Examining the Influence of Annotation Quantity and Instance Difficulty on Model Performance
Pritam Kadasi, Mayank Singh
The NLP community has long advocated for the construction of multi-annotator datasets to better capture the nuances of language interpretation, subjectivity, and ambiguity. This pa…
Unlocking Model Insights: A Dataset for Automated Model Card Generation
Shruti Singh, Hitesh Lodwal, Husain Malwat +2
Language models (LMs) are no longer restricted to ML community, and instruction-tuned LMs have led to a rise in autonomous AI agents. As the accessibility of LMs grows, it is imper…
MUTANT: A Multi-sentential Code-mixed Hinglish Dataset
Rahul Gupta, Vivek Srivastava, Mayank Singh
The multi-sentential long sequence textual data unfolds several interesting research directions pertaining to natural language processing and generation. Though we observe several…