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insight - Hallucination Detection Benchmark
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
The author proposes DiaHalu as the first dialogue-level hallucination evaluation benchmark for large language models, covering various domains and subtypes of hallucinations. The study aims to challenge existing benchmarks and provide valuable insights for further research.
DiaHalu: Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
Large language models face challenges with hallucination, prompting the need for a dialogue-level evaluation benchmark like DiaHalu.
DiaHalu: Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
Large language models face challenges with hallucination, prompting the need for a dialogue-level evaluation benchmark like DiaHalu.
DiaHalu: A Dialogue-Level Hallucination Evaluation Benchmark for Large Language Models
DiaHalu ist ein herausfordernder Benchmark für die Detektion von Halluzinationen auf Dialogebene in großen Sprachmodellen.
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