Data-driven approaches for autonomous driving (AD) have been widely adopted in the past decade but are confronted with dataset bias and uninterpretability. Inspired by the knowledge-driven nature of human drivin
浙江大学,Decision-Making in Robotic Grasping with Large Language Models论文解读 摘要:最近在大型语言模型方面的进步突显了它们编码大量语义知识以支持长期自主决策的潜力,这使它们成为未来家庭助理机器人认知能力的有前景的解决方案。然而,尽管大型语言模型可以提供高层次的决策,但目前还没有统一的范式将它们与机器人的...
Large language models like GPT-3 and PaLM have made impressive progress in this area, but they still face difficulties in reasoning tasks such as GSM8K, a benchmark for arithmetic problems. To improve their reasoning skills, previous work has proposed to guide the language mod...
Can Large Language Models beat wall street? Evaluating GPT-4’s impact on financial decision-making with MarketSenseAIS.I.: Large Language Models for Financial Services Open access Published: 08 December 2024 (2024) Cite this article
Large language models (LLMs) provide new possibilities for engaging and intelligent conversational systems
“correctness, authority, prestige, and legitimacy”, represents only one small blip in the long and rich history of the English language. And, for better or worse, we live in a moment in history when a tightly controlled language, economy, and political system work together to create a ...
This study is the first empirical study to show that automatically generated feedback by Large Language Models (LLM) can enhance the clinical decision-making (CDM) training effects for medical students in LLM-simulated conversations. Using an experimental design, we found that the group receiving LL...
(genAI) talk. It’s not hard to find opposing sentiment. We continue to pile mountains of hype ongenerative AIwhile the economics of training large language models (LLMs) areinsane. “The capex on foundation model training is the ‘fastest depreciating asset in history,’” says Michael ...
Large language models like GPT-3 and PaLM have made impressive progress in this area, but they still face difficulties in reasoning tasks such as GSM8K, a benchmark for arithmetic problems. To improve their reasoning skills, previous work has proposed to guide the language model with prompts ...
Large language model (LLM) based knowledge graph completion (KGC) aims to predict the missing triples in the KGs with LLMs. However, research about LLM-based KGC fails to sufficiently harness LLMs' inference proficiencies, overlooking critical structural information integral to KGs. In this paper,...