논문 Daily Digest 2026년 03월 30일 (2편)
Mar 30, 2026
·
1 min read
목차
| # | 분야 | 제목 |
|---|---|---|
| 1 | 💬 Dialogue Summarization | Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters |
| 2 | 💬 Dialogue Summarization | Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts |
💬 Dialogue Summarization
1. Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters
저자: Nan Cui, Wendy Hui Wang, Yue Ning| 날짜: 2026-03-24 | 원문 | PDF
리뷰 생성 실패
2. Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
저자: Silvia Rossi, Diletta Huyskes, Mackenzie Jorgensen| 날짜: 2026-03-25 | 원문 | PDF
리뷰 생성 실패
본 리포트의 논문 리뷰는 Anthropic의 Haiku 모델을 사용하여 자동 생성되었습니다.
Authors
Hyangsuk Min
(she/her)
PhD Student
Hyangsuk Min is a PhD student at KAIST, advised by Prof. Hwanjun Song. Her research asks how AI agents stay trustworthy when the information they receive is incomplete, noisy, evolving, or spread across contexts — through data-centric evaluations of how models perceive, structure, remember, and use information, and through memory-enabled agents that reuse past interactions without losing faithfulness. She also studies AI co-scientist systems, testing whether LLMs show researcher-level understanding when reading, comparing, and synthesizing scientific literature.