NLP86 [2025-1] 김학선 - LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward https://arxiv.org/abs/2401.03374 LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic RewardIn software development, the predominant emphasis on functionality often supersedes security concerns, a trend gaining momentum with AI-driven automation tools like GitHub Copilot. These tools significantly improve developers' efficiency in functional codearxiv.orgAbstract최근 AI 기.. 2025. 3. 18. [2025-1] 박서형 - Gradient Episodic Memory for Continual Learning [1706.08840] Gradient Episodic Memory for Continual Learning Gradient Episodic Memory for Continual LearningOne major obstacle towards AI is the poor ability of models to solve new problems quicker, and without forgetting previously acquired knowledge. To better understand this issue, we study the problem of continual learning, where the model observes, once andarxiv.org 0. Abstract AI는 새로운 과제를.. 2025. 3. 8. [2025-1] 백승우 - Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent CollaborationWeikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu. Findings of the Association for Computational Linguistics: EMNLP 2024. 2024.aclanthology.orgMotivationsLegal 분야에서는 LLMs를 이용해서 법 이론을 충분히 이해하고 복잡.. 2025. 3. 7. [2025-1] 현시은 - PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers 원본 논문 링크 : https://arxiv.org/abs/2406.12430 PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision MakersIn this paper, we conduct a study to utilize LLMs as a solution for decision making that requires complex data analysis. We define Decision QA as the task of answering the best decision, $d_{best}$, for a decision-making question $Q$, business rul.. 2025. 3. 6. 이전 1 ··· 4 5 6 7 8 9 10 ··· 22 다음
