Shayan Ali Akbar — accepted AI-conference papers

2025

SEEval: Advancing LLM Text Evaluation Efficiency and Accuracy through Self-Explanation Prompting

Meng-Chen Wu, Md Mosharaf Hossain, Tess Wood, Shayan Ali Akbar, Si-Chi Chin, Erwin Cornejo

NAACL 2025findings

Large language models (LLMs) have achieved remarkable success in various natural language generation (NLG) tasks, but their performance in automatic text evaluation is not yet ready as human replacements. In this paper, we propose SEEval (Self-Explanation in Evaluation), a novel prompt-based text ev…

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2024

HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning

Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Erica M Salinas, Victor Alvarez +1

EMNLP 2024main

Automating the measurement of hallucinations in LLM generated responses is a challenging task as it requires careful investigation of each factual claim in a response. In this paper, we introduce HalluMeasure, a new LLM-based hallucination detection mechanism that decomposes an LLM response into ato…

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