Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
Zhuoyi Yang, Yurun Song, Iftekhar Ahmed +1
Multi-hop question answering is widely used to evaluate the reasoning capabilities of large language models (LLMs), as it requires integrating multiple pieces of supporting knowled…
cs.CL2025
Test-time Scaling of LLMs: A Survey from A Subproblem Structure Perspective
Zhuoyi Yang, Xu Guo, Tong Zhang +2
With this paper, we survey techniques for improving the predictive accuracy of pretrained large language models by allocating additional compute at inference time. In categorizing…