Papers by Harrison Chase
PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines (2025.naacl-long)
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| Challenge: | Large language models fail to follow instructions or meet developer expectations when running in production . a dataset of 2087 LLM pipeline prompts with 12623 assertion criteria is larger than previous collections . |
| Approach: | They propose a dataset of 2087 LLM pipeline prompts with 12623 assertion criteria . they fine-tuned Mistral and Llama 3 models outperform GPT-4o by 20.93% on average . |
| Outcome: | The proposed dataset outperforms GPT-4o and mistral models in generating assertions and offers reduced latency and improved performance. |