Papers by Yun Joon Soh
You Only Use Reactive Attention Slice When Retrieving From Long Context (2025.findings-emnlp)
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| Challenge: | Existing retrieval techniques for language models are limited due to their reliance on lexical similarity and are computationally expensive to train. |
| Approach: | They propose a training-free and fine-tuning-free attention-based retrieval technique that uses a reaction score heuristic to quantify how an LM’s self-attention “reacts” to a user query. |
| Outcome: | The proposed approach improves QA task accuracy by 15% and inference throughput by 31% compared to embedding-based retrieval. |