Papers by Edith Cheuk-Han Ngai
OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory (2026.acl-long)
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| Challenge: | Existing LLMs are limited by text-context budgets, resulting in token-expensive storage of raw trajectories . Optical Context Retrieval Memory (OCR-Memory) renders historical tra-jectorios into images annotated with unique visual identifiers. |
| Approach: | They propose a framework that leverages the visual modality as a high-density representation of agent experience. |
| Outcome: | Optical Context Retrieval Memory (OCRM) renders historical trajectories into images annotated with unique visual identifiers. |
Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing (2026.acl-long)
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| Challenge: | Existing approaches to reasoning faithfulness violate constraints, authors say . a science fantasy series and companion books are among the books . |
| Approach: | They propose a framework that enforces verification over internal belief states within the agent before action commitment, achieving faithful reasoning. |
| Outcome: | The proposed framework improves reasoning faithfulness while preserving competitive end-task performance. |