5 papers
Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
Haoxuan Zhang, Ruochi Li, Yang Zhang +4
Large language models (LLMs) are increasingly used in scientific research and discovery, supporting tasks ranging from literature retrieval and synthesis to hypothesis generation,…
MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation
Haoxuan Zhang, Ruochi Li, Yang Zhang +4
The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparency and governance. However, manual creation of Model and Data Cards is not scal…
AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation
Haoxuan Zhang, Ruochi Li, Zhenni Liang +7
Transparent and standardized documentation is essential for building trustworthy generative AI (GAI) systems. However, existing automated methods for generating model and data card…
ReviewGuard: Enhancing Deficient Peer Review Detection via LLM-Driven Data Augmentation
Haoxuan Zhang, Ruochi Li, Sarthak Shrestha +6
Peer review serves as the gatekeeper of science, yet the surge in submissions and widespread adoption of large language models (LLMs) in scholarly evaluation present unprecedented…
Unveiling the Merits and Defects of LLMs in Automatic Review Generation for Scientific Papers
Ruochi Li, Haoxuan Zhang, Edward Gehringer +3
The surge in scientific submissions has placed increasing strain on the traditional peer-review process, prompting the exploration of large language models (LLMs) for automated rev…