cs.AI(2024-03-06)
📊 共 11 篇论文 | 🔗 3 篇有代码
🎯 兴趣领域导航
支柱九:具身大模型 (Embodied Foundation Models) (7 🔗1)
支柱一:机器人控制 (Robot Control) (2 🔗1)
支柱二:RL算法与架构 (RL & Architecture) (2 🔗1)
🔬 支柱九:具身大模型 (Embodied Foundation Models) (7 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Guiding Enumerative Program Synthesis with Large Language Models | 提出一种新型枚举合成算法以提升代码生成性能 | large language model | ||
| 2 | MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models | 提出MedSafetyBench以评估和提升大型语言模型的医疗安全性 | large language model | ✅ | |
| 3 | Natural Language Processing in the Patent Domain: A Survey | 探讨专利领域的自然语言处理以应对复杂性挑战 | large language model multimodal | ||
| 4 | Prompt Mining for Language-based Human Mobility Forecasting | 提出一种新框架以优化基于语言的人类移动预测 | large language model chain-of-thought | ||
| 5 | IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators | 提出IRCoder以提升多语言代码生成的鲁棒性 | instruction following | ||
| 6 | Assessing the Aesthetic Evaluation Capabilities of GPT-4 with Vision: Insights from Group and Individual Assessments | 评估GPT-4视觉模型在美学评价中的能力 | large language model | ||
| 7 | Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations | 比较人类与语言模型在战争游戏中的决策行为差异 | large language model |
🔬 支柱一:机器人控制 (Robot Control) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 8 | SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models | 提出SheetAgent以解决复杂电子表格推理与操作问题 | manipulation generalist agent large language model | ✅ | |
| 9 | Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models | 通过提示工程提升情感操控以增强AI生成虚假信息的能力 | manipulation large language model |
🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 10 | Towards Efficient and Effective Unlearning of Large Language Models for Recommendation | 提出E2URec以解决大语言模型推荐中的数据遗忘问题 | teacher-student large language model | ✅ | |
| 11 | Graph Generation Powered with LLMs for Boosting Multivariate Time-Series Representation Learning | 提出K-Link以解决多变量时间序列图生成偏差问题 | representation learning large language model |