Papers by Jens Grossklags

1 papers
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics (2024.findings-naacl)

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Challenge: Existing studies have recognized hallucination as a notable concern in large autoregressive language models (LLMs).
Approach: They propose a polygraph for large language models that detects "hallucination" they demonstrate that hallucination can be detected by tractable probabilistic models .
Outcome: The proposed model outperforms state-of-the-art methods on open-source LLMs by 20% on TruthfulQA benchmarks.

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