13 citations · 42 across the 14 of their papers we have counts for
5 papers · 1 filter
Read, Extract, Classify: A Tool for Smarter Requirements Engineering
Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam +1
This paper presents the ReXCL tool, which automates the extraction and classification processes in requirements engineering, enhancing the software development life-cycle. The tool…
Cross-Task Benchmarking and Evaluation of General-Purpose and Code-Specific Large Language Models
Gunjan Das, Paheli Bhattacharya, Rishabh Gupta
Large Language Models (LLMs) have revolutionized both general natural language processing and domain-specific applications such as code synthesis, legal reasoning, and finance. How…
ReXCL: A Tool for Requirement Document Extraction and Classification
Paheli Bhattacharya, Manojit Chakraborty, Santhosh Kumar Arumugam +1
This paper presents the ReXCL tool, which automates the extraction and classification processes in requirement engineering, enhancing the software development lifecycle. The tool f…
Selective Shot Learning for Code Explanation
Paheli Bhattacharya, Rishabh Gupta
Code explanation plays a crucial role in the software engineering domain, aiding developers in grasping code functionality efficiently. Recent work shows that the performance of LL…
Exploring Large Language Models for Code Explanation
Paheli Bhattacharya, Manojit Chakraborty, Kartheek N S N Palepu +4
Automating code documentation through explanatory text can prove highly beneficial in code understanding. Large Language Models (LLMs) have made remarkable strides in Natural Langu…