5 citations · 5 across the 3 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025
How Much of Your Data Can Suck? Thresholds for Domain Performance and Emergent Misalignment in LLMs
Jian Ouyang, Arman T, Ge Jin
This paper investigates the impact of incorrect data on the performance and safety of large language models (LLMs), specifically gpt-4o, during supervised fine-tuning (SFT). Althou…
cs.CL2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Qian Liu, Bei Chen, Jian-Guang Lou +2
Recent work on Natural Language Interfaces to Databases (NLIDB) has attracted considerable attention. NLIDB allow users to search databases using natural language instead of SQL-li…