Papers by WenLong Wu
What Deserves Memory: Adaptive Memory Distillation for LLM Agents (2026.acl-long)
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| Challenge: | Existing memory systems rely on predefined heuristics such as importance scores, emotional tags, or factual templates, encoding designer intuition rather than learning from the data itself. |
| Approach: | They propose an adaptive memory distillation framework that casts the assessment of the experience’s future utility as a matter of predictability. |
| Outcome: | The proposed framework achieves strong performance, efficiency, and storage reduction. |