1 citations · 1 across the 3 of their papers we have counts for
5 papers
Verdicts Without Annotated Evidence: Rejection Sampling or Label-Only Post-Training for Evidence Recovery?
Nishanth Nayakanti, Prasang Gupta, Ashutosh Bilthare +1
In many review workflows the verdict is the only thing retained. The passages behind it are not marked, because that annotation costs far more than recording the decision. We measu…
Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems
Prajjwal Gupta, Prasang Gupta, Vishal Bhutani +4
As agentic LLM systems move from prototypes to deployment, evaluating them has become more important and more difficult. Evaluation goals are often left implicit. Without a clear a…
LLMRank: Understanding LLM Strengths for Model Routing
Shubham Agrawal, Prasang Gupta
The rapid growth of large language models (LLMs) with diverse capabilities, latency and computational costs presents a critical deployment challenge: selecting the most suitable mo…
Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies
Prasang Gupta, Shaz Hoda, Anand Rao
Machine learning driven trading strategies have garnered a lot of interest over the past few years. There is, however, limited consensus on the ideal approach for the development o…
Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors
Prasang Gupta, Antoinette Young, Anand Rao
Cargo loss/damage is a very common problem faced by almost any business with a supply chain arm, leading to major problems like revenue loss and reputation tarnishing. This problem…