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20232026
most citedLLM Internal States Reveal Hallucination Risk Faced With a Query

3 citations · 14 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024★ 3 cited

LLM Internal States Reveal Hallucination Risk Faced With a Query

Ziwei Ji, Delong Chen, Etsuko Ishii +4

The hallucination problem of Large Language Models (LLMs) significantly limits their reliability and trustworthiness. Humans have a self-awareness process that allows us to recogni…

cs.CL2024

Belief Revision: The Adaptability of Large Language Models Reasoning

Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii +2

The capability to reason from text is crucial for real-world NLP applications. Real-world scenarios often involve incomplete or evolving data. In response, individuals update their…

cs.CV2024★ 1 cited

What Makes for Good Image Captions?

Delong Chen, Samuel Cahyawijaya, Etsuko Ishii +3

This paper establishes a formal information-theoretic framework for image captioning, conceptualizing captions as compressed linguistic representations that selectively encode sema…

cs.CL2024★ 1 cited

High-Dimension Human Value Representation in Large Language Models

Samuel Cahyawijaya, Delong Chen, Yejin Bang +5

The widespread application of LLMs across various tasks and fields has necessitated the alignment of these models with human values and preferences. Given various approaches of hum…

cs.CL2024★ 3 cited

Measuring Political Bias in Large Language Models: What Is Said and How It Is Said

Yejin Bang, Delong Chen, Nayeon Lee +1

We propose to measure political bias in LLMs by analyzing both the content and style of their generated content regarding political issues. Existing benchmarks and measures focus o…