Can LLM be a Personalized Judge?
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Yijiang River, Hu, Tiancheng, Collier, Nigel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law
by: Hui, Zheng, et al.
Published: (2025)
by: Hui, Zheng, et al.
Published: (2025)
iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News
by: Hu, Tiancheng, et al.
Published: (2025)
by: Hu, Tiancheng, et al.
Published: (2025)
Quantifying the Persona Effect in LLM Simulations
by: Hu, Tiancheng, et al.
Published: (2024)
by: Hu, Tiancheng, et al.
Published: (2024)
Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding
by: Dong, Yijiang River, et al.
Published: (2026)
by: Dong, Yijiang River, et al.
Published: (2026)
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning
by: Dong, Yijiang River, et al.
Published: (2025)
by: Dong, Yijiang River, et al.
Published: (2025)
Value of Information: A Framework for Human-Agent Communication
by: Dong, Yijiang River, et al.
Published: (2026)
by: Dong, Yijiang River, et al.
Published: (2026)
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
by: Hui, Zheng, et al.
Published: (2025)
by: Hui, Zheng, et al.
Published: (2025)
Confidence Estimation for LLMs in Multi-turn Interactions
by: Zhang, Caiqi, et al.
Published: (2026)
by: Zhang, Caiqi, et al.
Published: (2026)
Generative Language Models Exhibit Social Identity Biases
by: Hu, Tiancheng, et al.
Published: (2023)
by: Hu, Tiancheng, et al.
Published: (2023)
SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
by: Hu, Tiancheng, et al.
Published: (2025)
by: Hu, Tiancheng, et al.
Published: (2025)
Can Language Models Recognize Convincing Arguments?
by: Rescala, Paula, et al.
Published: (2024)
by: Rescala, Paula, et al.
Published: (2024)
Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
by: Hu, Tiancheng, et al.
Published: (2025)
by: Hu, Tiancheng, et al.
Published: (2025)
JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew
by: Razumenko, Itay, et al.
Published: (2026)
by: Razumenko, Itay, et al.
Published: (2026)
The Better Angels of Machine Personality: How Personality Relates to LLM Safety
by: Zhang, Jie, et al.
Published: (2024)
by: Zhang, Jie, et al.
Published: (2024)
Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge
by: Cai, Yunna, et al.
Published: (2025)
by: Cai, Yunna, et al.
Published: (2025)
Predicting Disagreement with Human Raters in LLM-as-a-Judge Difficulty Assessment without Using Generation-Time Probability Signals
by: Ehara, Yo
Published: (2026)
by: Ehara, Yo
Published: (2026)
A Scoping Review of LLM-as-a-Judge in Healthcare and the MedJUDGE Framework
by: Li, Chenyu, et al.
Published: (2026)
by: Li, Chenyu, et al.
Published: (2026)
Let's Measure the Elephant in the Room: Facilitating Personalized Automated Analysis of Privacy Policies at Scale
by: Zhao, Rui, et al.
Published: (2025)
by: Zhao, Rui, et al.
Published: (2025)
LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
by: Weissburg, Iain, et al.
Published: (2024)
by: Weissburg, Iain, et al.
Published: (2024)
LLM-Generated Ads: From Personalization Parity to Persuasion Superiority
by: Meguellati, Elyas, et al.
Published: (2025)
by: Meguellati, Elyas, et al.
Published: (2025)
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
A Two-Phase Stability Study of LLM Judges and Bar Council Examiners on Thai Bar-Exam Free-Form Essays
by: Akarajaradwong, Pawitsapak, et al.
Published: (2026)
by: Akarajaradwong, Pawitsapak, et al.
Published: (2026)
Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics
by: Li, Yongjie, et al.
Published: (2025)
by: Li, Yongjie, et al.
Published: (2025)
Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias
by: Tonneau, Manuel, et al.
Published: (2026)
by: Tonneau, Manuel, et al.
Published: (2026)
When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment
by: Ferrer, Robinson, et al.
Published: (2026)
by: Ferrer, Robinson, et al.
Published: (2026)
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
by: Li, Bohan, et al.
Published: (2024)
by: Li, Bohan, et al.
Published: (2024)
Assessing Judging Bias in Large Reasoning Models: An Empirical Study
by: Wang, Qian, et al.
Published: (2025)
by: Wang, Qian, et al.
Published: (2025)
Interpreting Latent Student Knowledge Representations in Programming Assignments
by: Fernandez, Nigel, et al.
Published: (2024)
by: Fernandez, Nigel, et al.
Published: (2024)
Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness
by: Feroz, Faisal, et al.
Published: (2026)
by: Feroz, Faisal, et al.
Published: (2026)
Societal Alignment Frameworks Can Improve LLM Alignment
by: Stańczak, Karolina, et al.
Published: (2025)
by: Stańczak, Karolina, et al.
Published: (2025)
ChatWise: A Strategy-Guided Chatbot for Enhancing Cognitive Support in Older Adults
by: Yang, Zhengbang, et al.
Published: (2025)
by: Yang, Zhengbang, et al.
Published: (2025)
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
by: Koutcheme, Charles, et al.
Published: (2024)
by: Koutcheme, Charles, et al.
Published: (2024)
Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models
by: Zhou, Ej, et al.
Published: (2025)
by: Zhou, Ej, et al.
Published: (2025)
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
by: Zugecova, Aneta, et al.
Published: (2024)
by: Zugecova, Aneta, et al.
Published: (2024)
EmpathyAgent: Can Embodied Agents Conduct Empathetic Actions?
by: Chen, Xinyan, et al.
Published: (2025)
by: Chen, Xinyan, et al.
Published: (2025)
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models
by: Dong, Yijiang River, et al.
Published: (2024)
by: Dong, Yijiang River, et al.
Published: (2024)
Analysing Personal Attacks in U.S. Presidential Debates
by: Goyal, Ruban, et al.
Published: (2025)
by: Goyal, Ruban, et al.
Published: (2025)
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
by: Sammoudi, Mohammad, et al.
Published: (2024)
by: Sammoudi, Mohammad, et al.
Published: (2024)
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
by: Badawi, Abeer, et al.
Published: (2025)
by: Badawi, Abeer, et al.
Published: (2025)
Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
by: Duan, Zhangqi, et al.
Published: (2024)
by: Duan, Zhangqi, et al.
Published: (2024)
Similar Items
-
TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law
by: Hui, Zheng, et al.
Published: (2025) -
iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News
by: Hu, Tiancheng, et al.
Published: (2025) -
Quantifying the Persona Effect in LLM Simulations
by: Hu, Tiancheng, et al.
Published: (2024) -
Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding
by: Dong, Yijiang River, et al.
Published: (2026) -
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning
by: Dong, Yijiang River, et al.
Published: (2025)