2 papers
cs.CL2025
RLTHF: Targeted Human Feedback for LLM Alignment
Yifei Xu, Tusher Chakraborty, Emre Kıcıman +11
Fine-tuning large language models (LLMs) to align with user preferences is challenging due to the high cost of quality human annotations in Reinforcement Learning from Human Feedba…
cs.DB2025
Speculative Ad-hoc Querying
Haoyu Li, Srikanth Kandula, Maria Angels de Luis Balaguer +2
Analyzing large datasets requires responsive query execution, but executing SQL queries on massive datasets can be slow. This paper explores whether query execution can begin even…