Saved in:
| Main Authors: | Claude, Chen Ying, Luo, Zhihan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.28102 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Observing Micromotives and Macrobehavior of Large Language Models
by: Cheng, Yuyang, et al.
Published: (2024)
by: Cheng, Yuyang, et al.
Published: (2024)
Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction
by: Chen, Zeya, et al.
Published: (2024)
by: Chen, Zeya, et al.
Published: (2024)
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition
by: Geissler, Daniel, et al.
Published: (2025)
by: Geissler, Daniel, et al.
Published: (2025)
Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior Simulation
by: Wang, Chuwen, et al.
Published: (2024)
by: Wang, Chuwen, et al.
Published: (2024)
Chat with UAV -- Human-UAV Interaction Based on Large Language Models
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
Behavioral Fingerprinting of Large Language Models
by: Pei, Zehua, et al.
Published: (2025)
by: Pei, Zehua, et al.
Published: (2025)
Can Large Language Models Play Games? A Case Study of A Self-Play Approach
by: Guo, Hongyi, et al.
Published: (2024)
by: Guo, Hongyi, et al.
Published: (2024)
Aligning Large Language Model Behavior with Human Citation Preferences
by: Ando, Kenichiro, et al.
Published: (2026)
by: Ando, Kenichiro, et al.
Published: (2026)
Truth as a Compression Artifact in Language Model Training
by: Krestnikov, Konstantin
Published: (2026)
by: Krestnikov, Konstantin
Published: (2026)
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
by: Chochlakis, Georgios, et al.
Published: (2024)
by: Chochlakis, Georgios, et al.
Published: (2024)
Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models
by: Shah, Raj Sanjay, et al.
Published: (2023)
by: Shah, Raj Sanjay, et al.
Published: (2023)
Adapting Robot's Explanation for Failures Based on Observed Human Behavior in Human-Robot Collaboration
by: Naoum, Andreas, et al.
Published: (2025)
by: Naoum, Andreas, et al.
Published: (2025)
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)
Humanity in AI: Detecting the Personality of Large Language Models
by: Zhan, Baohua, et al.
Published: (2024)
by: Zhan, Baohua, et al.
Published: (2024)
Hear You in Silence: Designing for Active Listening in Human Interaction with Conversational Agents Using Context-Aware Pacing
by: Jiang, Zhihan, et al.
Published: (2026)
by: Jiang, Zhihan, et al.
Published: (2026)
Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
by: Riley, Celeste, et al.
Published: (2025)
by: Riley, Celeste, et al.
Published: (2025)
On the Failure of Latent State Persistence in Large Language Models
by: Huang, Jen-tse, et al.
Published: (2025)
by: Huang, Jen-tse, et al.
Published: (2025)
Incremental Learning of Humanoid Robot Behavior from Natural Interaction and Large Language Models
by: Bärmann, Leonard, et al.
Published: (2023)
by: Bärmann, Leonard, et al.
Published: (2023)
Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents
by: Li, Yongxiang, et al.
Published: (2026)
by: Li, Yongxiang, et al.
Published: (2026)
Can Large Language Model Agents Simulate Human Trust Behavior?
by: Xie, Chengxing, et al.
Published: (2024)
by: Xie, Chengxing, et al.
Published: (2024)
Using Large Language Models to Categorize Strategic Situations and Decipher Motivations Behind Human Behaviors
by: Xie, Yutong, et al.
Published: (2025)
by: Xie, Yutong, et al.
Published: (2025)
Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning
by: Sun, Zhoujian, et al.
Published: (2025)
by: Sun, Zhoujian, et al.
Published: (2025)
An Approach to Combining Video and Speech with Large Language Models in Human-Robot Interaction
by: Shen, Guanting, et al.
Published: (2026)
by: Shen, Guanting, et al.
Published: (2026)
Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models
by: Luo, Yuxiao, et al.
Published: (2024)
by: Luo, Yuxiao, et al.
Published: (2024)
A Study on Training and Developing Large Language Models for Behavior Tree Generation
by: Li, Fu, et al.
Published: (2024)
by: Li, Fu, et al.
Published: (2024)
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
by: Wang, Xinyi, et al.
Published: (2026)
by: Wang, Xinyi, et al.
Published: (2026)
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
by: Cao, Yuanpu, et al.
Published: (2023)
by: Cao, Yuanpu, et al.
Published: (2023)
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach
by: Chen, Xiaobing, et al.
Published: (2025)
by: Chen, Xiaobing, et al.
Published: (2025)
Improving Human-AI Coordination through Online Adversarial Training and Generative Models
by: Chaudhary, Paresh, et al.
Published: (2025)
by: Chaudhary, Paresh, et al.
Published: (2025)
Language Models in Dialogue: Conversational Maxims for Human-AI Interactions
by: Miehling, Erik, et al.
Published: (2024)
by: Miehling, Erik, et al.
Published: (2024)
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)
by: Huang, Xu, et al.
Published: (2023)
Training Data for Large Language Model
by: Ju, Yiming, et al.
Published: (2024)
by: Ju, Yiming, et al.
Published: (2024)
Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
by: Zhu, Jian-Qiao, et al.
Published: (2025)
by: Zhu, Jian-Qiao, et al.
Published: (2025)
SafeBehavior: Simulating Human-Like Multistage Reasoning to Mitigate Jailbreak Attacks in Large Language Models
by: Zhao, Qinjian, et al.
Published: (2025)
by: Zhao, Qinjian, et al.
Published: (2025)
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
by: Sheshadri, Abhay, et al.
Published: (2024)
by: Sheshadri, Abhay, et al.
Published: (2024)
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights
by: Liu, Yuchen, et al.
Published: (2025)
by: Liu, Yuchen, et al.
Published: (2025)
Interactions Across Blocks in Post-Training Quantization of Large Language Models
by: Shabanovi, Khasmamad, et al.
Published: (2024)
by: Shabanovi, Khasmamad, et al.
Published: (2024)
Facilitating Longitudinal Interaction Studies of AI Systems
by: Long, Tao, et al.
Published: (2025)
by: Long, Tao, et al.
Published: (2025)
AHAMask: Reliable Task Specification for Large Audio Language Models without Instructions
by: Guo, Yiwei, et al.
Published: (2025)
by: Guo, Yiwei, et al.
Published: (2025)
Similar Items
-
Observing Micromotives and Macrobehavior of Large Language Models
by: Cheng, Yuyang, et al.
Published: (2024) -
Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction
by: Chen, Zeya, et al.
Published: (2024) -
Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition
by: Geissler, Daniel, et al.
Published: (2025) -
Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior Simulation
by: Wang, Chuwen, et al.
Published: (2024) -
Chat with UAV -- Human-UAV Interaction Based on Large Language Models
by: Wang, Haoran, et al.
Published: (2025)