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cs.CL2025
Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs
Minsuh Joo, Hyunsoo Cho
Despite the outstanding performance of large language models (LLMs) across various NLP tasks, hallucinations in LLMs--where LLMs generate inaccurate responses--remains as a critica…
cs.CL2025
CUB: Benchmarking Context Utilisation Techniques for Language Models
Lovisa Hagström, Youna Kim, Haeun Yu +4
Incorporating external knowledge is crucial for knowledge-intensive tasks, such as question answering and fact checking. However, language models (LMs) may ignore relevant informat…