3 papers
cs.AI2026
Handover of In-Context Learning State Across Session Boundaries
Masahiro Kato, Taka Kato
This study investigates the methodological and theoretical properties of session handover in applications that use large language models. A task may continue in a new session when…
econ.EM2026
Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference
Masahiro Kato, Taka Kato
We propose one-step and two-step methods for policy learning with retrieval-augmented generation (RAG). We formulate RAG-based action selection under the potential outcome framewor…
cs.SE2026
Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms?
Masahiro Kato, Taka Kato
Large language models (LLMs) are increasingly used to implement algorithms from research manuscripts, but papers often leave implementation choices implicit. This study examines ho…