Introducing Background Temperature to Characterise Hidden Randomness in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Messina, Alberto, Scotta, Stefano |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
by: Messina, Pablo, et al.
Published: (2024)
by: Messina, Pablo, et al.
Published: (2024)
Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
by: Wong, Wai Tuck, et al.
Published: (2026)
by: Wong, Wai Tuck, et al.
Published: (2026)
Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
by: Sun, Shaoning, et al.
Published: (2026)
by: Sun, Shaoning, et al.
Published: (2026)
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
by: Baumann, Joachim, et al.
Published: (2025)
by: Baumann, Joachim, et al.
Published: (2025)
Relative Value Biases in Large Language Models
by: Hayes, William M., et al.
Published: (2024)
by: Hayes, William M., et al.
Published: (2024)
Large Language Models are Biased Reinforcement Learners
by: Hayes, William M., et al.
Published: (2024)
by: Hayes, William M., et al.
Published: (2024)
Layer by Layer: Uncovering Hidden Representations in Language Models
by: Skean, Oscar, et al.
Published: (2025)
by: Skean, Oscar, et al.
Published: (2025)
$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)
by: Cai, Chengkun, et al.
Published: (2024)
Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions
by: Gangavarapu, Agasthya
Published: (2024)
by: Gangavarapu, Agasthya
Published: (2024)
Temperature-Dependent Performance of Prompting Strategies in Extended Reasoning Large Language Models
by: Salah, Mousa, et al.
Published: (2026)
by: Salah, Mousa, et al.
Published: (2026)
Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models
by: Gomaa, Eyad, et al.
Published: (2024)
by: Gomaa, Eyad, et al.
Published: (2024)
The Bicameral Model: Bidirectional Hidden-State Coupling Between Parallel Language Models
by: Flamant, Cedric, et al.
Published: (2026)
by: Flamant, Cedric, et al.
Published: (2026)
Hidden State Poisoning Attacks against Mamba-based Language Models
by: Mercier, Alexandre Le, et al.
Published: (2026)
by: Mercier, Alexandre Le, et al.
Published: (2026)
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
by: Ghandeharioun, Asma, et al.
Published: (2024)
by: Ghandeharioun, Asma, et al.
Published: (2024)
Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
by: Bui, Nghia, et al.
Published: (2025)
by: Bui, Nghia, et al.
Published: (2025)
Large Language Models are Geographically Biased
by: Manvi, Rohin, et al.
Published: (2024)
by: Manvi, Rohin, et al.
Published: (2024)
Lying Is Just a Phase: The Hidden Alignment Transition in Language Model Scaling
by: Amin, Adil
Published: (2026)
by: Amin, Adil
Published: (2026)
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
by: Liu, Tian Yu, et al.
Published: (2024)
by: Liu, Tian Yu, et al.
Published: (2024)
Calibrating Language Models with Adaptive Temperature Scaling
by: Xie, Johnathan, et al.
Published: (2024)
by: Xie, Johnathan, et al.
Published: (2024)
The Randomness Floor: Measuring Intrinsic Non-Randomness in Language Model Token Distributions
by: Hryszko, Jarosław
Published: (2026)
by: Hryszko, Jarosław
Published: (2026)
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
by: Song, Chenyang, et al.
Published: (2024)
by: Song, Chenyang, et al.
Published: (2024)
Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process
by: Ye, Tian, et al.
Published: (2024)
by: Ye, Tian, et al.
Published: (2024)
Random-Set Large Language Models
by: Mubashar, Muhammad, et al.
Published: (2025)
by: Mubashar, Muhammad, 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)
Optimizing Temperature for Language Models with Multi-Sample Inference
by: Du, Weihua, et al.
Published: (2025)
by: Du, Weihua, et al.
Published: (2025)
How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not
by: Verdini, Francesco, et al.
Published: (2024)
by: Verdini, Francesco, et al.
Published: (2024)
Logically Consistent Language Models via Neuro-Symbolic Integration
by: Calanzone, Diego, et al.
Published: (2024)
by: Calanzone, Diego, et al.
Published: (2024)
Large Language Model Unlearning
by: Yao, Yuanshun, et al.
Published: (2023)
by: Yao, Yuanshun, et al.
Published: (2023)
Foundations of Large Language Models
by: Xiao, Tong, et al.
Published: (2025)
by: Xiao, Tong, et al.
Published: (2025)
Large Language Model Pruning
by: Huang, Hanjuan, et al.
Published: (2024)
by: Huang, Hanjuan, et al.
Published: (2024)
Large Language Models as Optimizers
by: Yang, Chengrun, et al.
Published: (2023)
by: Yang, Chengrun, et al.
Published: (2023)
Causality for Large Language Models
by: Wu, Anpeng, et al.
Published: (2024)
by: Wu, Anpeng, et al.
Published: (2024)
Large Language Model Reasoning Failures
by: Song, Peiyang, et al.
Published: (2026)
by: Song, Peiyang, et al.
Published: (2026)
On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)
by: Mao, Yu, et al.
Published: (2024)
Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)
by: An, Yongqi, et al.
Published: (2025)
Large Language Models as Tool Makers
by: Cai, Tianle, et al.
Published: (2023)
by: Cai, Tianle, et al.
Published: (2023)
Textual Aesthetics in Large Language Models
by: Jiang, Lingjie, et al.
Published: (2024)
by: Jiang, Lingjie, et al.
Published: (2024)
Large Language Models as Markov Chains
by: Zekri, Oussama, et al.
Published: (2024)
by: Zekri, Oussama, et al.
Published: (2024)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)
by: Slonski, Eduardo
Published: (2024)
Similar Items
-
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
by: Messina, Pablo, et al.
Published: (2024) -
Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models
by: Wong, Wai Tuck, et al.
Published: (2026) -
Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models
by: Sun, Shaoning, et al.
Published: (2026) -
Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
by: Baumann, Joachim, et al.
Published: (2025) -
Relative Value Biases in Large Language Models
by: Hayes, William M., et al.
Published: (2024)