4 papers
Idea2Story: An Automated Pipeline for Transforming Research Concepts into Complete Scientific Narratives
Tengyue Xu, Zhuoyang Qian, Gaoge Liu +16
Autonomous scientific discovery with large language model (LLM)-based agents has recently made substantial progress, demonstrating the ability to automate end-to-end research workf…
AEGIS: Exploring the Limit of World Knowledge Capabilities for Unified Mulitmodal Models
Jintao Lin, Bowen Dong, Weikang Shi +4
The capability of Unified Multimodal Models (UMMs) to apply world knowledge across diverse tasks remains a critical, unresolved challenge. Existing benchmarks fall short, offering…
Towards Understanding Transformers in Learning Random Walks
Wei Shi, Yuan Cao
Transformers have proven highly effective across various applications, especially in handling sequential data such as natural languages and time series. However, transformer models…
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
Jiangjie Chen, Wei Shi, Ziquan Fu +3
Large language models (LLMs) have been widely studied for their ability to store and utilize positive knowledge. However, negative knowledge, such as "lions don't live in the ocean…