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Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
Pre-trained Language Models (LMs) exhibit strong zero-shot and in-context learning capabilities; however, their behaviors are often difficult to control.
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
However, as models continue to improve, their performance on these benchmarks has begun to plateau, making it increasingly difficult to discern differences in model capabilities.
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation
Project page is available at https://ku-cvlab.github.io/DaRF/ .
