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Siddartha Venkat Naidu

2 accepted papers

2025

LiveBench: A Challenging, Contamination-Limited LLM Benchmark

ICLR 2025spotlight

Test set contamination, wherein test data from a benchmark ends up in a newer model's training set, is a well-documented obstacle for fair LLM evaluation and can quickly render benchmarks obsolete. To mitigate this, many recent benchmarks crowdsource new prompts and evaluations from human or LLM jud…

2023

ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

NeurIPS 2023poster

The vast majority of time-series forecasting approaches require a substantial training dataset. However, many real-life forecasting applications have very little initial observations, sometimes just 40 or fewer. Thus, the applicability of most forecasting methods is restricted in data-sparse commerc…