Papers with functional
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models (2024.acl-long)
Copied to clipboard
| Challenge: | Despite the critical role of software requirements, these criteria have not been studied actively in previous code generation works. |
| Approach: | They propose a framework that leverages in-context learning to organize and extrapolate unexpressed requirements from textual descriptions. |
| Outcome: | The proposed framework generates functional requirements from textual descriptions and extrapolates unexpressed requirements from them. |
From Language to Cognition: How LLMs Outgrow the Human Language Network (2025.emnlp-main)
Copied to clipboard
Badr AlKhamissi, Greta Tuckute, Yingtian Tang, Taha Osama A Binhuraib, Antoine Bosselut, Martin Schrimpf
| Challenge: | Large language models exhibit remarkable similarity to neural activity in the human language network, but their properties remain unclear. |
| Approach: | They benchmark 34 training checkpoints spanning 300B tokens across 8 different model sizes . they find that brain alignment tracks the development of formal linguistic competence more closely than functional linguistic competency. |
| Outcome: | The results show that large language models exhibit similarity to human language networks . they show that the correlation between next-word prediction and brain alignment fades once models surpass human language proficiency. |