1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment
Lukas Abrie Nel
Reinforcement learning from human feedback (RLHF) has become the dominant paradigm for aligning large language models with human preferences. However, policy gradient methods such…
cs.AI2025★ 1 cited
Do Large Language Models Know What They Don't Know? Kalshibench: A New Benchmark for Evaluating Epistemic Calibration via Prediction Markets
Lukas Nel
A well-calibrated model should express confidence that matches its actual accuracy -- when it claims 80\% confidence, it should be correct 80\% of the time. While large language mo…