Papers with LLaMA 3-70B
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. |