1 citations · 1 across the 5 of their papers we have counts for
5 papers
Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation
Kartar Kumar, Rajesh Kumar, Nikesh Lagun
Large language models (LLMs) are beginning to reshape how organic-synthesis workflows are represented, queried, planned, and connected to experimental automation. Assessing their c…
Weak Links in LinkedIn: Enhancing Fake Profile Detection in the Age of LLMs
Apoorva Gulati, Rajesh Kumar, Vinti Agarwal +1
Large Language Models (LLMs) have made it easier to create realistic fake profiles on platforms like LinkedIn. This poses a significant risk for text-based fake profile detectors.…
Tool-to-Tool Matching Analysis Based Difference Score Computation Methods for Semiconductor Manufacturing
Sameera Bharadwaja H., Siddhrath Jandial, Shashank S. Agashe +2
We consider the problem of tool-to-tool matching (TTTM), also called, chamber matching in the context of a semiconductor manufacturing equipment. Traditional TTTM approaches utiliz…
Enhancing Financial VQA in Vision Language Models using Intermediate Structured Representations
Archita Srivastava, Abhas Kumar, Rajesh Kumar +1
Chart interpretation is crucial for visual data analysis, but accurately extracting information from charts poses significant challenges for automated models. This study investigat…
Can LLMs Compute with Reasons?
Harshit Sandilya, Peehu Raj, Jainit Sushil Bafna +7
Large language models (LLMs) often struggle with complex mathematical tasks, prone to "hallucinating" incorrect answers due to their reliance on statistical patterns. This limitati…