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Sofian Zalouk

2 accepted papers

2026

Pre-training Limited Memory Language Models with Internal and External Knowledge

ICLR 2026poster

Neural language models are black-boxes--both linguistic patterns and factual knowledge are distributed across billions of opaque parameters. This entangled encoding makes it difficult to reliably inspect, verify, or update specific facts. We introduce Limited Memory Language Models (LMLM), a new cla…

Cited by 0SourcecodeScholar
2023

Calibration by Distribution Matching: Trainable Kernel Calibration Metrics

NeurIPS 2023poster

Calibration ensures that probabilistic forecasts meaningfully capture uncertainty by requiring that predicted probabilities align with empirical frequencies. However, many existing calibration methods are specialized for post-hoc recalibration, which can worsen the sharpness of forecasts. Drawing on…