33 citations · 36 across the 6 of their papers we have counts for
6 papers
Rating the Raters: Rasch Measurement Theory for LLM Evaluation
Pratik S. Sachdeva, Nathan Boudol
LLMs now sit on every side of evaluation: as examinees scored on benchmarks, judges of other models' outputs, and raters of human-generated content. Each paradigm can be viewed as…
The Fabricated Front: Generative AI and the Opacity of Workplace Performance
Tom van Nuenen, Pratik S. Sachdeva, Sahiba Chopra
Generative AI (GenAI) has become a fixture of workplace life. Current research asks chiefly what this implies for jobs and outputs, measured in productivity, displacement, or bias.…
The Fragility Of Moral Judgment In Large Language Models
Tom van Nuenen, Pratik S. Sachdeva
People increasingly use large language models (LLMs) for everyday moral and interpersonal guidance, yet these systems cannot interrogate missing context and judge dilemmas as prese…
Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate
Pratik S. Sachdeva, Tom van Nuenen
As agentic AI systems are deployed in advisory and evaluative roles, understanding how multi-agent interactions shape behavior becomes essential. Multi-agent debate has been studie…
Normative Evaluation of Large Language Models with Everyday Moral Dilemmas
Pratik S. Sachdeva, Tom van Nuenen
The rapid adoption of large language models (LLMs) has spurred extensive research into their encoded moral norms and decision-making processes. Much of this research relies on prom…
On the stability of strange dwarf hybrid stars
Mark G. Alford, Steven P. Harris, Pratik S. Sachdeva
We investigate the stability of stars with a density discontinuity between a high-density core and a very low density mantle. Previous work on "strange dwarfs" suggested that such…