1 citations · 1 across the 2 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025★ 1 cited
Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes
Sullam Jeoung, Yubin Ge, Haohan Wang +1
Examining the alignment of large language models (LLMs) has become increasingly important, e.g., when LLMs fail to operate as intended. This study examines the alignment of LLMs wi…
cs.CL2023
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models
Sullam Jeoung, Yubin Ge, Jana Diesner
Large Language Models (LLMs) have been observed to encode and perpetuate harmful associations present in the training data. We propose a theoretically grounded framework called Ste…