Guardado en:
| Autores principales: | Wu, Gabriel, Hilton, Jacob |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2410.13211 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
por: Zhao, Stephen, et al.
Publicado: (2025)
por: Zhao, Stephen, et al.
Publicado: (2025)
Towards a Law of Iterated Expectations for Heuristic Estimators
por: Christiano, Paul, et al.
Publicado: (2024)
por: Christiano, Paul, et al.
Publicado: (2024)
Estimating Tail Risks in Language Model Output Distributions
por: Angell, Rico, et al.
Publicado: (2026)
por: Angell, Rico, et al.
Publicado: (2026)
Understanding Token Probability Encoding in Output Embeddings
por: Cho, Hakaze, et al.
Publicado: (2024)
por: Cho, Hakaze, et al.
Publicado: (2024)
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
por: Bai, Ruoxuan, et al.
Publicado: (2024)
por: Bai, Ruoxuan, et al.
Publicado: (2024)
GPT, But Backwards: Exactly Inverting Language Model Outputs
por: Skapars, Adrians, et al.
Publicado: (2025)
por: Skapars, Adrians, et al.
Publicado: (2025)
Backdoor defense, learnability and obfuscation
por: Christiano, Paul, et al.
Publicado: (2024)
por: Christiano, Paul, et al.
Publicado: (2024)
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
por: Cloud, Alex, et al.
Publicado: (2025)
por: Cloud, Alex, et al.
Publicado: (2025)
SLOT: Structuring the Output of Large Language Models
por: Wang, Darren Yow-Bang, et al.
Publicado: (2025)
por: Wang, Darren Yow-Bang, et al.
Publicado: (2025)
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
por: Lemos, Pablo, et al.
Publicado: (2024)
por: Lemos, Pablo, et al.
Publicado: (2024)
An Evaluation on Large Language Model Outputs: Discourse and Memorization
por: de Wynter, Adrian, et al.
Publicado: (2023)
por: de Wynter, Adrian, et al.
Publicado: (2023)
Leviathan: Decoupling Input and Output Representations in Language Models
por: Batley, Reza T., et al.
Publicado: (2026)
por: Batley, Reza T., et al.
Publicado: (2026)
Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks
por: Bramlage, Lennart, et al.
Publicado: (2025)
por: Bramlage, Lennart, et al.
Publicado: (2025)
Output Supervision Can Obfuscate the Chain of Thought
por: Drori, Jacob, et al.
Publicado: (2025)
por: Drori, Jacob, et al.
Publicado: (2025)
Graph-based Uncertainty Metrics for Long-form Language Model Outputs
por: Jiang, Mingjian, et al.
Publicado: (2024)
por: Jiang, Mingjian, et al.
Publicado: (2024)
Group-Aware Reinforcement Learning for Output Diversity in Large Language Models
por: Anschel, Oron, et al.
Publicado: (2025)
por: Anschel, Oron, et al.
Publicado: (2025)
E-Scores for (In)Correctness Assessment of Generative Model Outputs
por: Dhillon, Guneet S., et al.
Publicado: (2025)
por: Dhillon, Guneet S., et al.
Publicado: (2025)
Enhancing Rare Codes via Probability-Biased Directed Graph Attention for Long-Tail ICD Coding
por: Chen, Tianlei, et al.
Publicado: (2025)
por: Chen, Tianlei, et al.
Publicado: (2025)
Estimating the Empowerment of Language Model Agents
por: Song, Jinyeop, et al.
Publicado: (2025)
por: Song, Jinyeop, et al.
Publicado: (2025)
Phase Transitions in the Output Distribution of Large Language Models
por: Arnold, Julian, et al.
Publicado: (2024)
por: Arnold, Julian, et al.
Publicado: (2024)
Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process
por: Watanabe, Shuhei
Publicado: (2025)
por: Watanabe, Shuhei
Publicado: (2025)
Confidence Calibration in Large Language Models
por: Michael, Noam, et al.
Publicado: (2026)
por: Michael, Noam, et al.
Publicado: (2026)
RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs
por: Hu, Ruike, et al.
Publicado: (2025)
por: Hu, Ruike, et al.
Publicado: (2025)
On the Generalization Properties of Deep Learning for Aircraft Fuel Flow Estimation Models
por: Jarry, Gabriel, et al.
Publicado: (2024)
por: Jarry, Gabriel, et al.
Publicado: (2024)
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
por: Kumar, Abhishek, et al.
Publicado: (2024)
por: Kumar, Abhishek, et al.
Publicado: (2024)
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions
por: Gillman, Nate, et al.
Publicado: (2024)
por: Gillman, Nate, et al.
Publicado: (2024)
Generative Modeling of Class Probability for Multi-Modal Representation Learning
por: Shin, Jungkyoo, et al.
Publicado: (2025)
por: Shin, Jungkyoo, et al.
Publicado: (2025)
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
por: Wang, Liaoyaqi, et al.
Publicado: (2025)
por: Wang, Liaoyaqi, et al.
Publicado: (2025)
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
por: Fadeeva, Ekaterina, et al.
Publicado: (2024)
por: Fadeeva, Ekaterina, et al.
Publicado: (2024)
When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models
por: Galeone, Cosimo, et al.
Publicado: (2026)
por: Galeone, Cosimo, et al.
Publicado: (2026)
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
por: Li, Yuangang, et al.
Publicado: (2026)
por: Li, Yuangang, et al.
Publicado: (2026)
LouisKV: Efficient KV Cache Retrieval for Long Input-Output Sequences
por: Wu, Wenbo, et al.
Publicado: (2025)
por: Wu, Wenbo, et al.
Publicado: (2025)
Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes
por: Jeon, Dongjae, et al.
Publicado: (2024)
por: Jeon, Dongjae, et al.
Publicado: (2024)
Training Language Models to Explain Their Own Computations
por: Li, Belinda Z., et al.
Publicado: (2025)
por: Li, Belinda Z., et al.
Publicado: (2025)
How do Language Models Bind Entities in Context?
por: Feng, Jiahai, et al.
Publicado: (2023)
por: Feng, Jiahai, et al.
Publicado: (2023)
A Voter-Based Stochastic Rejection-Method Framework for Asymptotically Safe Language Model Outputs
por: Watts, Jake R., et al.
Publicado: (2024)
por: Watts, Jake R., et al.
Publicado: (2024)
Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study
por: Bouchard, Dylan, et al.
Publicado: (2026)
por: Bouchard, Dylan, et al.
Publicado: (2026)
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
por: Arya, Shivvrat, et al.
Publicado: (2024)
por: Arya, Shivvrat, et al.
Publicado: (2024)
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
por: Kong, Linghao, et al.
Publicado: (2025)
por: Kong, Linghao, et al.
Publicado: (2025)
Can Machines Learn the True Probabilities?
por: Kim, Jinsook
Publicado: (2024)
por: Kim, Jinsook
Publicado: (2024)
Ejemplares similares
-
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
por: Zhao, Stephen, et al.
Publicado: (2025) -
Towards a Law of Iterated Expectations for Heuristic Estimators
por: Christiano, Paul, et al.
Publicado: (2024) -
Estimating Tail Risks in Language Model Output Distributions
por: Angell, Rico, et al.
Publicado: (2026) -
Understanding Token Probability Encoding in Output Embeddings
por: Cho, Hakaze, et al.
Publicado: (2024) -
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems
por: Bai, Ruoxuan, et al.
Publicado: (2024)