Papers by Jinze Li

2 papers
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.
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation (2025.acl-long)

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Challenge: Traditional generation methods focus primarily on textual quality, but they fail to meet complex, multifaceted educational requirements.
Approach: They propose a method for automatic generating high-quality mathematical problems that align with educational objectives using a dataset of 16k mathematical questions with multi-dimensional educational objectives.
Outcome: The proposed method improves generating high-quality mathematical questions that meet multi-dimensional educational objectives.

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