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Nikhil Chandak

2 accepted papers

2026

Curating the Future: A Scalable Recipe for Training Open-Ended Forecasters

ICML 2026poster

High-stakes decision making involves reasoning under uncertainty about the future. In this work, we train language models to make predictions on open-ended forecasting questions. To scale up training data, we synthesize novel forecasting questions from global events reported in daily news. While dir…

Cited by 0Source ↗Scholar ↗
2024

Proportional Aggregation of Preferences for Sequential Decision Making

AAAI 2024technical

We study the problem of fair sequential decision making given voter preferences. In each round, a decision rule must choose a decision from a set of alternatives where each voter reports which of these alternatives they approve. Instead of going with the most popular choice in each round, we aim for…

Cited by 17Source ↗PDF ↗Scholar ↗