Papers with LLaMA 3-70B

2 papers
Knowledge Augmentation Enhances Token Classification for Recipe Understanding (2026.eacl-long)

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Challenge: Using entity type-specific and knowledge-augmented token classification, we achieve state-of-the-art (SOTA) results on 5 out of 7 benchmark recipe datasets, significantly outperforming traditional token classification methods.
Approach: They propose an entity type-specific and knowledge-augmented token classification framework to improve encoder models’ performance on recipe texts.
Outcome: The proposed model outperforms traditional token classification methods on 5 out of 7 recipe datasets and is the largest annotated food-related dataset to date.
Language Models can Categorize System Inputs for Performance Analysis (2025.naacl-long)

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Challenge: Existing evaluations only provide a single numerical score for broad categories.
Approach: They propose to automatically search for finer-grained categories based on inputs where a system performs well or poorly and describe them in natural language.
Outcome: The proposed model compares LLaMA 3-70B and Claude 3 Opus with similar Elo ratings on Chatbot Arena.

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