Saved in:
| Main Authors: | Moore, Kyle, Roberts, Jesse, Watson, Daryl, Wisniewski, Pamela |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.12528 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
by: Moore, Kyle, et al.
Published: (2025)
by: Moore, Kyle, et al.
Published: (2025)
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
by: Roberts, Jesse, et al.
Published: (2024)
by: Roberts, Jesse, et al.
Published: (2024)
Basic Category Usage in Vision Language Models
by: Sawyer, Hunter, et al.
Published: (2025)
by: Sawyer, Hunter, et al.
Published: (2025)
Using Artificial Populations to Study Psychological Phenomena in Neural Models
by: Roberts, Jesse, et al.
Published: (2023)
by: Roberts, Jesse, et al.
Published: (2023)
Do Large Language Models Learn Human-Like Strategic Preferences?
by: Roberts, Jesse, et al.
Published: (2024)
by: Roberts, Jesse, et al.
Published: (2024)
KARMA: Karma-Aligned Reward Model Adaptation
by: Scott, Jared, et al.
Published: (2026)
by: Scott, Jared, et al.
Published: (2026)
Chain of Thought Still Thinks Fast: APriCoT Helps with Thinking Slow
by: Moore, Kyle, et al.
Published: (2024)
by: Moore, Kyle, et al.
Published: (2024)
The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance
by: Moore, Kyle, et al.
Published: (2024)
by: Moore, Kyle, et al.
Published: (2024)
Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis
by: Umphrey, Ray, et al.
Published: (2024)
by: Umphrey, Ray, et al.
Published: (2024)
Leveraging Large Language Models in Human-Robot Interaction: A Critical Analysis of Potential and Pitfalls
by: Atuhurra, Jesse
Published: (2024)
by: Atuhurra, Jesse
Published: (2024)
How Powerful are Decoder-Only Transformer Neural Models?
by: Roberts, Jesse
Published: (2023)
by: Roberts, Jesse
Published: (2023)
Towards Reliable Truth-Aligned Uncertainty Estimation in Large Language Models
by: Srey, Ponhvoan, et al.
Published: (2026)
by: Srey, Ponhvoan, et al.
Published: (2026)
Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
by: Mahmud, Saaduddin, et al.
Published: (2025)
by: Mahmud, Saaduddin, et al.
Published: (2025)
Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?
by: Zhang, Yanjian, et al.
Published: (2025)
by: Zhang, Yanjian, et al.
Published: (2025)
Aligning Large Language Models with Human Preferences through Representation Engineering
by: Liu, Wenhao, et al.
Published: (2023)
by: Liu, Wenhao, et al.
Published: (2023)
Aligning Large Language Model Behavior with Human Citation Preferences
by: Ando, Kenichiro, et al.
Published: (2026)
by: Ando, Kenichiro, et al.
Published: (2026)
Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation
by: Heineman, David, et al.
Published: (2025)
by: Heineman, David, et al.
Published: (2025)
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
by: Amayuelas, Alfonso, et al.
Published: (2023)
by: Amayuelas, Alfonso, et al.
Published: (2023)
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
Distilling Human-Aligned Privacy Sensitivity Assessment from Large Language Models
by: Loiseau, Gabriel, et al.
Published: (2026)
by: Loiseau, Gabriel, et al.
Published: (2026)
Aligning LLM Uncertainty with Human Disagreement in Subjectivity Analysis
by: Lu, Junyu, et al.
Published: (2026)
by: Lu, Junyu, et al.
Published: (2026)
The Real, the Better: Aligning Large Language Models with Online Human Behaviors
by: Jiang, Guanying, et al.
Published: (2024)
by: Jiang, Guanying, et al.
Published: (2024)
AlignCultura: Towards Culturally Aligned Large Language Models?
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)
by: Kashyap, Gautam Siddharth, et al.
Published: (2026)
An Investigation into Misuse of Java Security APIs by Large Language Models
by: Mousavi, Zahra, et al.
Published: (2024)
by: Mousavi, Zahra, et al.
Published: (2024)
A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical Ethics
by: Jin, Haoan, et al.
Published: (2026)
by: Jin, Haoan, et al.
Published: (2026)
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition
by: Li, Zechen, et al.
Published: (2024)
by: Li, Zechen, et al.
Published: (2024)
Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation
by: Park, Jinkyung, et al.
Published: (2024)
by: Park, Jinkyung, et al.
Published: (2024)
Can Large Language Models Express Uncertainty Like Human?
by: Tao, Linwei, et al.
Published: (2025)
by: Tao, Linwei, et al.
Published: (2025)
SLMEval: Entropy-Based Calibration for Human-Aligned Evaluation of Large Language Models
by: Daynauth, Roland, et al.
Published: (2025)
by: Daynauth, Roland, et al.
Published: (2025)
Are Aligned Large Language Models Still Misaligned?
by: Naseem, Usman, et al.
Published: (2026)
by: Naseem, Usman, et al.
Published: (2026)
Beyond Labels: Aligning Large Language Models with Human-like Reasoning
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)
Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)
by: Ismayilzada, Mete, et al.
Published: (2026)
Beyond Semantics: Measuring Fine-Grained Emotion Preservation in Small Language Model-Based Machine Translation
by: Wisniewski, Dawid, et al.
Published: (2026)
by: Wisniewski, Dawid, et al.
Published: (2026)
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
by: Zeng, Qingcheng, et al.
Published: (2024)
by: Zeng, Qingcheng, et al.
Published: (2024)
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Supporting the Digital Autonomy of Elders Through LLM Assistance
by: Roberts, Jesse, et al.
Published: (2024)
by: Roberts, Jesse, et al.
Published: (2024)
Aligning Large Language Models with Human Opinions through Persona Selection and Value--Belief--Norm Reasoning
by: Long, Do Xuan, et al.
Published: (2023)
by: Long, Do Xuan, et al.
Published: (2023)
Aligning Large Language Models with Diverse Political Viewpoints
by: Stammbach, Dominik, et al.
Published: (2024)
by: Stammbach, Dominik, et al.
Published: (2024)
ADELIE: Aligning Large Language Models on Information Extraction
by: Qi, Yunjia, et al.
Published: (2024)
by: Qi, Yunjia, et al.
Published: (2024)
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
by: Zhang, Mozhi, et al.
Published: (2024)
by: Zhang, Mozhi, et al.
Published: (2024)
Similar Items
-
Human-Alignment and Calibration of Inference-Time Uncertainty in Large Language Models
by: Moore, Kyle, et al.
Published: (2025) -
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
by: Roberts, Jesse, et al.
Published: (2024) -
Basic Category Usage in Vision Language Models
by: Sawyer, Hunter, et al.
Published: (2025) -
Using Artificial Populations to Study Psychological Phenomena in Neural Models
by: Roberts, Jesse, et al.
Published: (2023) -
Do Large Language Models Learn Human-Like Strategic Preferences?
by: Roberts, Jesse, et al.
Published: (2024)