Papers by Mehran Haddadi
Comparing Text Compression Capabilities of Large Language Models with Traditional Compression Algorithms (2026.eacl-srw)
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| Challenge: | Experimental results show that large language models outperform baselines on non-English datasets . traditional methods remained dataset-agnostic, and the results suggest that current methods are impractical for the compression task. |
| Approach: | They evaluate the non-English and unstructured text compression performance of Large Language Models . they compare them with traditional baselines on datasets from eight most widely spoken languages . |
| Outcome: | The evaluated LLM outperformed baselines on non-English datasets . the results show that the current methods are highly impractical for the compression task . |