Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation | ScienceToStartup | ScienceToStartup

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References (22)

[1]

Reasoning Robustness of LLMs to Adversarial Typographical Errors

2024Esther Gan, Yiran Zhao et al.

[2]

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

2024Iman Mirzadeh, Keivan Alizadeh-Vahid et al.

[3]

Veridical Data Science for Medical Foundation Models

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"Develop a robustness testing tool for evaluating LLMs against lexical and syntactic perturbations."

LLM Evaluation•Score: 4•View PDF ↗

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Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation

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References (22)

Founder's Pitch

"Develop a robustness testing tool for evaluating LLMs against lexical and syntactic perturbations."

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Same Meaning, Different Scores: Lexical and Syntactic Sensitivity in LLM Evaluation

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References (22)

Founder's Pitch

"Develop a robustness testing tool for evaluating LLMs against lexical and syntactic perturbations."

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