Papers by Jiatong Han

1 papers
Simple Factuality Probes Detect Hallucinations in Long-Form Natural Language Generation (2025.findings-emnlp)

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Challenge: Current approaches to detect hallucination require many samples from the LLM generator . current methods require multiple samples, which is computationally infeasible .
Approach: They propose a simple baseline for detecting hallucinations in long-form LLM generations . they show that LLM hidden states are highly predictive of factuality in long form natural language generation .
Outcome: The proposed method is comparable to expensive multi-sample approaches while drawing only a single sample from the LLM generator.

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