관심 주제를 입력하면 그 주제의 논문을 낸 연구실을 관련도 순으로 보여드려요. 순위가 아니라 근거 논문과 함께 보는 출발점이에요.
+21
2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.
A Fair Bayesian Inference through Matched Gibbs Posterior
Jihu Lee, Kunwoong Kim, Sehyun Park, Insung Kong, Dongyoon Yang, Yongdai Kim
SNU김용대
Doubly-Regressing Approach for Subgroup Fairness
Kunwoong Kim, Kyungseon Lee, Jihu Lee, Dongyoon Yang, Yongdai Kim
SNU김용대
RoDAC: A Robust Data-centric Anti-Cheat Framework for Fair Online Competitive Gaming
M. Kim, J. Park, C. Lee, G. Seo, S. E. Whang, and H. Lee
KAIST황의종
PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
Sumin Yu, Juhyeon Park, Taesup Moon
SNU문태섭
Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
Shubin Kim*, Yejin Son*, Junyeong Park, Keummin Ka, Seungbeen Lee, Jaeyoung Lee, Hyeju Jang, Alice Oh, Youngjae Yu
KAIST오혜연
DRPO: Disentangling Demographic Bias from Rewards for Fair Diffusion Alignment
YeonGyu Han*, Junah Jung*, Dongheon Lee†
SNU이동헌
Implicit Bias and Loss of Plasticity in Matrix Completion: Depth Promotes Low-Rankness
Baekrok Shin, Chulhee Yun
KAIST윤철희
Implicit Bias of Per-sample Adam on Separable Data: Departure from the Full-batch Regime
Beomhan Baek, Minhak Song, Chulhee Yun
KAIST윤철희
Minor First, Major Last: A Depth-Induced Implicit Bias of Sharpness-Aware Minimization
Chaewon Moon, Dongkuk Si, Chulhee Yun
KAIST윤철희
Bias Alleviation through Network Pruning for Sparse and Debiased Models
Sangwoo Hong, Sehwan Kim, Hyungjun Joo, Hyeonggeun Han, Jiyoon Shin, Yoav Wald, and Jungwoo Lee
SNU이정우
Denoised Variance-Based Pruning with Optimal Brain Bias Compensation
Geon Tack Lee, Jaegul Choo, Kang Eun Jeon
KAIST주재걸
MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
Sua Lee, Sanghee Park, Jinbae Im
KAIST양은호
Mine over Yours: How Authorship Biases Evaluation in Generative Information Retrieval
Jeongwoo Ryu, Kyusik Kim, Soomin Kim, Jinsu Eun, Changhoon Oh, Bongwon Suh
SNU서봉원
Negation Without Confusion: Decomposing Bias and Recomposing Style in Text Embeddings for Negation-Aware Image Generation
S.-Y. Park, H. Singh, K.-H. Min, Y.-J. Yu, S.-B. Cho
Yonsei조성배
Blind to Position, Biased in Language: Probing Mid-Layer Representational Bias in Vision-Language Encoders for Zero-Shot Language-Grounded Spatial Understanding
Na Min An, Inha Kang, Minhyun Lee, Hyunjung Shim
KAIST심현정
Interpretable Debiasing of Vision-Language Models for Social Fairness
Na Min An, Yoonna Jang, Yusuke Hirota, Ryo Hachiuma, Isabelle Augenstein, Hyunjung Shim
KAIST심현정
Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling
Seojeong Park, Jiho Choi, Junyong Kang, Seonho Lee, Jaeyo Shin, Hyunjung Shim
KAIST심현정
LLM Watermark Evasion via Bias Inversion
Jeongyeon Hwang, Sangdon Park, Jungseul Ok
POSTECH김동우, 옥정슬, 박상돈, 박은혁
Evaluating the Evaluators: A Systematic Analysis of Reference Bias in Audio Captioning Metrics
Jaeheon Sim, Kyogu Lee
SNU이교구
“As Eastern Powers, I will veto”: An Investigation of Nation-level Bias of Large Language Models in International Relations
Jonghyeon Choi, Yeonjun Choi, Hyun-chul Kim, Beakcheol Jang
Yonsei장백철
Multi-Test Nation Bias Benchmarking of LLMs with Explicit Unbiased Baselines
Jonghyeon Choi, Yeonjun Choi, Beakcheol Jang
Yonsei장백철
SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning
Sunguk Jang, Jinwoo Jeon, Byung-Jun Lee
KU이병준
Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges
Hamin Koo, Chanjoo Jung, Fangzhao Wu, Jaehyung Kim
Yonsei김재형
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
Dasol Choi, Jihwan Lee, Minjae Lee, Minsuk Kahng
SNU강민석
OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment Prediction
Jaehoon Jeong, Jay-Yoon Lee
SNU이재윤
Hidden Threat in Synthetic Data: Covert Targeted Bias Injection through Benign Text
Minkyung Cho, Jihyo Kim, SeungWoo Song, Junghun Yuk, Minjoon Kee, Hoyun Song, KyungTae Lim
KAIST임경태