| 1 |
Concept-Level AI for Telecom: Moving Beyond Large Language Models |
提出大概念模型以解决电信领域的复杂管理问题 |
large language model multimodal |
|
|
| 2 |
Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics |
利用大型语言模型建议贝叶斯统计中的信息性先验分布 |
large language model |
|
|
| 3 |
A Different Approach to AI Safety: Proceedings from the Columbia Convening on Openness in Artificial Intelligence and AI Safety |
提出开放性与安全性结合的AI研究议程以应对AI安全挑战 |
foundation model multimodal |
|
|
| 4 |
Bootstrapping Human-Like Planning via LLMs |
提出基于大语言模型的任务规划方法以提升机器人任务指定能力 |
large language model |
|
|
| 5 |
Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists |
提出Image2Net以解决模拟电路图转网表问题 |
large language model |
✅ |
|
| 6 |
The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements |
提出自动化LLM速度竞赛基准以解决科学重现性问题 |
large language model |
|
|
| 7 |
A Practical Approach to Power Saving in Hearables Using Sub-Nyquist Sampling with Bandwidth Extension |
提出SUBARU以解决耳机低功耗处理问题 |
multimodal |
|
|
| 8 |
Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education |
提出大学政策适应生成性人工智能以解决教育公平与诚信问题 |
large language model |
|
|
| 9 |
ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation |
提出ARAG框架以解决个性化推荐中的用户偏好捕捉问题 |
large language model |
|
|