3 papers
cs.CL2026
Distortion Instead of Hallucination: The Effect of Reasoning Under Strict Constraints
Junichiro Niimi
With the widespread adoption of large language models (LLMs), hallucinations, which are non-factual fabrications in model outputs, have become serious concerns. Reasoning capabilit…
cs.CL2025
Hallucinations in Bibliographic Recommendation: Citation Frequency as a Proxy for Training Data Redundancy
Junichiro Niimi
Large language models (LLMs) have been increasingly applied to a wide range of tasks, from natural language understanding to code generation. While they have also been used to assi…
cs.CL2025
Stable LLM Ensemble: Interaction between Example Representativeness and Diversity
Junichiro Niimi
Large language models (LLMs) have achieved remarkable results in wide range of domains. However, the accuracy and robustness of one-shot LLM predictions remain highly sensitive to…