Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Max-pooling Network Revisited: Analyzing the Role of Semantic Probability in Multiple Instance Learning for Hallucination Detection
Shota Fujikawa, Issei Sato
Hallucination detection has become increasingly important for improving the reliability of large language models (LLMs). Recently, hybrid approaches such as HaMI, which combine sem…
cs.CL2024
Rethinking Associative Memory Mechanism in Induction Head
Shuo Wang, Issei Sato
Induction head mechanism is a part of the computational circuits for in-context learning (ICL) that enable large language models (LLMs) to adapt to new tasks without fine-tuning. M…