153 citations · 158 across the 9 of their papers we have counts for
4 papers · 1 filter
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Mingchen Zhuge, Jiaqi Chen +12
Remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Existing LLM-based multi-agent systems can already…
Piecing Together Clues: A Benchmark for Evaluating the Detective Skills of Large Language Models
Zhouhong Gu, Lin Zhang, Jiangjie Chen +8
Detectives frequently engage in information detection and reasoning simultaneously when making decisions across various cases, especially when confronted with a vast amount of info…
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
Dongjie Yang, Ruifeng Yuan, Yuantao Fan +4
Large Language Models (LLMs) have attained the impressive capability to resolve a wide range of NLP tasks by fine-tuning high-quality instruction data. However, collecting human-wr…
Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks
Gašper Beguš, Thomas Lu, Zili Wang
Computational models of syntax are predominantly text-based. Here we propose that the most basic first step in the evolution of syntax can be modeled directly from raw speech in a…