1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Interpreting the Latent Structure of Operator Precedence in Language Models
Dharunish Yugeswardeenoo, Harshil Nukala, Ved Shah +4
Large Language Models (LLMs) have demonstrated impressive reasoning capabilities but continue to struggle with arithmetic tasks. Prior works largely focus on outputs or prompting s…
cs.RO2025
Improving the performance of AI-powered Affordable Robotics for Assistive Tasks
Dharunish Yugeswardeenoo
By 2050, the global demand for assistive care is expected to reach 3.5 billion people, far outpacing the availability of human caregivers. Existing robotic solutions remain expensi…
cs.CL2024★ 1 cited
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks
Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien
Although LLMs have the potential to transform many fields, they still underperform humans in reasoning tasks. Existing methods induce the model to produce step-by-step calculations…