Jesse Roberts

Large Language Model Recall Uncertainty is Modulated by the Fan Effect

2024 · arXiv (Cornell University)

This paper evaluates whether large language models (LLMs) exhibit cognitive fan effects, similar to those discovered by Anderson in humans, after being pre-trained on human textual data. We conduct two sets of in-context recall experiments …

Systematic Analysis of Tokenization Properties in Low-Resource Polysynthetic NMT

2026 · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference

Tokenization is critical for neural machine translation (NMT), especially for polysynthetic and low-resource languages with complex morphology. While subword methods like Byte Pair Encoding (BPE) are common in modern NMT, their effectiveness varies across languages, …