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1. Introduction

1) About Author

2) 논문이 다루는 task

• Input:
• Output:

2) limitations of previous studies

3) Solution approaches

2. Related Work

3. 제안 방법론

1) Main Idea

2) Contribution

4. 모델 구조

5. 실험 및 결과

1) Dataset

2) Baseline

3) 결과

4) 배운점 + 의문점

5. 추가 가이드라인

⬅️ 이전 페이지

➡️ 다음 페이지

Reference

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Topics

AdaptThink: Reasoning Models Can Learn When to Think

Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

SCREENCODER: ADVANCING VISUAL-TO-CODE GENERATION FOR FRONT-END AUTOMATION VIA MODULAR MULTIMODAL AGENTS

From Local to Global: A GraphRAG Approach to Query-Focused Summarization

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