30 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Claim Automation using Large Language Model
Zhengda Mo, Zhiyu Quan, Eli O'Donohue +1
While Large Language Models (LLMs) have achieved strong performance on general-purpose language tasks, their deployment in regulated and data-sensitive domains, including insurance…
cs.CL2025
SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
Jiacheng Lin, Zhongruo Wang, Kun Qian +14
Supervised Fine-Tuning (SFT) on domain-specific datasets is a common approach to adapt Large Language Models (LLMs) to specialized tasks but is often believed to degrade their gene…
cs.LG2022★ 30 cited
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation
Kailiang Zhong, Fengtong Xiao, Yan Ren +4
Causal Inference has wide applications in various areas such as E-commerce and precision medicine, and its performance heavily relies on the accurate estimation of the Individual T…