2 papers
cs.LG2026
On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing
Yuval Koren, Assaf Ben-Kish, Raja Giryes +2
Associative Recall (AR) is the cognitive ability to learn and retrieve links between items in memory. In NLP, AR is used as a benchmark for evaluating the in-context memory capacit…
cs.CL2026
Faithfulness Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance
Bar Alon, Itamar Zimerman, Lior Wolf
Large language models (LLMs) achieve strong performance and have revolutionized NLP, but their lack of explainability keeps them treated as black boxes, limiting their use in domai…