Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
Fuente:
arXiv
Saved in:
| Main Authors: | Gu, Jia, Pang, Liang, Shen, Huawei, Cheng, Xueqi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
by: Gu, Jia, et al.
Published: (2026)
by: Gu, Jia, et al.
Published: (2026)
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
by: Wu, Kangxi, et al.
Published: (2024)
by: Wu, Kangxi, et al.
Published: (2024)
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
by: Zhou, Junkai, et al.
Published: (2023)
by: Zhou, Junkai, et al.
Published: (2023)
Stable Knowledge Editing in Large Language Models
by: Wei, Zihao, et al.
Published: (2024)
by: Wei, Zihao, et al.
Published: (2024)
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
by: Xu, Shicheng, et al.
Published: (2023)
by: Xu, Shicheng, et al.
Published: (2023)
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models
by: Wei, Zihao, et al.
Published: (2024)
by: Wei, Zihao, et al.
Published: (2024)
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
by: Deng, Jingcheng, et al.
Published: (2024)
by: Deng, Jingcheng, et al.
Published: (2024)
Rowen: Adaptive Retrieval-Augmented Generation for Hallucination Mitigation in LLMs
by: Ding, Hanxing, et al.
Published: (2024)
by: Ding, Hanxing, et al.
Published: (2024)
Large Language Model Sourcing: A Survey
by: Pang, Liang, et al.
Published: (2025)
by: Pang, Liang, et al.
Published: (2025)
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent
by: Zhou, Junkai, et al.
Published: (2024)
by: Zhou, Junkai, et al.
Published: (2024)
RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
by: Xu, Shicheng, et al.
Published: (2025)
by: Xu, Shicheng, et al.
Published: (2025)
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
by: Ding, Hanxing, et al.
Published: (2025)
by: Ding, Hanxing, et al.
Published: (2025)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Qsnail: A Questionnaire Dataset for Sequential Question Generation
by: Lei, Yan, et al.
Published: (2024)
by: Lei, Yan, et al.
Published: (2024)
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
by: Zhu, Yunchang, et al.
Published: (2023)
by: Zhu, Yunchang, et al.
Published: (2023)
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
by: Ding, Hanxing, et al.
Published: (2025)
by: Ding, Hanxing, et al.
Published: (2025)
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace
by: Duan, Zenghao, et al.
Published: (2025)
by: Duan, Zenghao, et al.
Published: (2025)
Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
by: Zhao, Minda, et al.
Published: (2026)
by: Zhao, Minda, et al.
Published: (2026)
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
by: Deng, Jingcheng, et al.
Published: (2025)
by: Deng, Jingcheng, et al.
Published: (2025)
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
by: Xu, Yilong, et al.
Published: (2025)
by: Xu, Yilong, et al.
Published: (2025)
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
by: Ni, Shiyu, et al.
Published: (2024)
by: Ni, Shiyu, et al.
Published: (2024)
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media
by: Li, Kun, et al.
Published: (2024)
by: Li, Kun, et al.
Published: (2024)
LLM Latent Reasoning as Chain of Superposition
by: Deng, Jingcheng, et al.
Published: (2025)
by: Deng, Jingcheng, et al.
Published: (2025)
ALiiCE: Evaluating Positional Fine-grained Citation Generation
by: Xu, Yilong, et al.
Published: (2024)
by: Xu, Yilong, et al.
Published: (2024)
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement
by: Hou, Danyang, et al.
Published: (2024)
by: Hou, Danyang, et al.
Published: (2024)
Event-aware Video Corpus Moment Retrieval
by: Hou, Danyang, et al.
Published: (2024)
by: Hou, Danyang, et al.
Published: (2024)
SLANG: New Concept Comprehension of Large Language Models
by: Mei, Lingrui, et al.
Published: (2024)
by: Mei, Lingrui, et al.
Published: (2024)
Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?
by: Gu, Yuxuan, et al.
Published: (2026)
by: Gu, Yuxuan, et al.
Published: (2026)
The Mirage of Model Editing: Revisiting Evaluation in the Wild
by: Yang, Wanli, et al.
Published: (2025)
by: Yang, Wanli, et al.
Published: (2025)
Can Large Language Model Agents Simulate Human Trust Behavior?
by: Xie, Chengxing, et al.
Published: (2024)
by: Xie, Chengxing, et al.
Published: (2024)
Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration
by: Wu, Guangxin, et al.
Published: (2026)
by: Wu, Guangxin, et al.
Published: (2026)
Calibrating Verbalized Probabilities for Large Language Models
by: Wang, Cheng, et al.
Published: (2024)
by: Wang, Cheng, et al.
Published: (2024)
ReAD: Reinforcement-Guided Capability Distillation for Large Language Models
by: Cheng, Xueqi, et al.
Published: (2026)
by: Cheng, Xueqi, et al.
Published: (2026)
The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
by: Wei, Zihao, et al.
Published: (2025)
by: Wei, Zihao, et al.
Published: (2025)
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
by: Tan, Hexiang, et al.
Published: (2025)
by: Tan, Hexiang, et al.
Published: (2025)
Fine-tuning Done Right in Model Editing
by: Yang, Wanli, et al.
Published: (2025)
by: Yang, Wanli, et al.
Published: (2025)
Similar Items
-
D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
by: Gu, Jia, et al.
Published: (2026) -
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
by: Wu, Kangxi, et al.
Published: (2024) -
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
by: Zhou, Junkai, et al.
Published: (2023) -
Stable Knowledge Editing in Large Language Models
by: Wei, Zihao, et al.
Published: (2024) -
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
by: Xu, Shicheng, et al.
Published: (2023)