2 citations · 5 across the 5 of their papers we have counts for
5 papers
DA-RAC: Distance-Aware Calibration of LLM Judges for Trustworthy AI Auditing
Cheng Wu, Vishal Anand, Jaya Krishna Mandivarapu +2
Generative AI systems are increasingly producing real-world artifacts, however their efficacy and validity are often evaluated via context-free LLM-scoring. These judges can be mis…
Layered Insights: Generalizable Analysis of Authorial Style by Leveraging All Transformer Layers
Milad Alshomary, Nikhil Reddy Varimalla, Vishal Anand +2
We propose a new approach for the authorship attribution task that leverages the various linguistic representations learned at different layers of pre-trained transformer-based mod…
Explicit and Implicit Semantic Ranking Framework
Xiaofeng Zhu, Thomas Lin, Vishal Anand +5
The core challenge in numerous real-world applications is to match an inquiry to the best document from a mutable and finite set of candidates. Existing industry solutions, especia…
PreDisM: Pre-Disaster Modelling With CNN Ensembles for At-Risk Communities
Vishal Anand, Yuki Miura
The machine learning community has recently had increased interest in the climate and disaster damage domain due to a marked increased occurrences of natural hazards (e.g., hurrica…
On Optimizing Human-Machine Task Assignments
Andreas Veit, Michael Wilber, Rajan Vaish +48
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the cro…