Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
Fuente:
arXiv
Guardado en:
| Autores principales: | McCabe, Lucas H., Melamed, Rimon, Hartvigsen, Thomas, Huang, H. Howie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Demystifying optimized prompts in language models
por: Melamed, Rimon, et al.
Publicado: (2025)
por: Melamed, Rimon, et al.
Publicado: (2025)
Prompts have evil twins
por: Melamed, Rimon, et al.
Publicado: (2023)
por: Melamed, Rimon, et al.
Publicado: (2023)
SENECA: Small-Sample Discrete Entropy Estimation via Self-Consistent Missing Mass
por: McCabe, Lucas H., et al.
Publicado: (2026)
por: McCabe, Lucas H., et al.
Publicado: (2026)
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
por: Nguyen, Dang, et al.
Publicado: (2025)
por: Nguyen, Dang, et al.
Publicado: (2025)
DiscoUQ: Structured Disagreement Analysis for Uncertainty Quantification in LLM Agent Ensembles
por: Jiang, Bo
Publicado: (2026)
por: Jiang, Bo
Publicado: (2026)
Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
por: Bakman, Yavuz, et al.
Publicado: (2025)
por: Bakman, Yavuz, et al.
Publicado: (2025)
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
por: Cao, Qi, et al.
Publicado: (2026)
por: Cao, Qi, et al.
Publicado: (2026)
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
por: Grewal, Yashvir S., et al.
Publicado: (2024)
por: Grewal, Yashvir S., et al.
Publicado: (2024)
HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation
por: Deng, Zewei, et al.
Publicado: (2026)
por: Deng, Zewei, et al.
Publicado: (2026)
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
por: Xiao, Quan, et al.
Publicado: (2025)
por: Xiao, Quan, et al.
Publicado: (2025)
ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models
por: Li, Mingda, et al.
Publicado: (2025)
por: Li, Mingda, et al.
Publicado: (2025)
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
por: Nikitin, Alexander, et al.
Publicado: (2024)
por: Nikitin, Alexander, et al.
Publicado: (2024)
Uncertainty Quantification for In-Context Learning of Large Language Models
por: Ling, Chen, et al.
Publicado: (2024)
por: Ling, Chen, et al.
Publicado: (2024)
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
por: Kruse, Maya, et al.
Publicado: (2025)
por: Kruse, Maya, et al.
Publicado: (2025)
Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification
por: Bouchard, Dylan, et al.
Publicado: (2026)
por: Bouchard, Dylan, et al.
Publicado: (2026)
Efficient Uncertainty Estimation for LLM-based Entity Linking in Tabular Data
por: Bono, Carlo, et al.
Publicado: (2025)
por: Bono, Carlo, et al.
Publicado: (2025)
The Illusion of Certainty: Uncertainty Quantification for LLMs Fails under Ambiguity
por: Tomov, Tim, et al.
Publicado: (2025)
por: Tomov, Tim, et al.
Publicado: (2025)
Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
por: Menendez, Angel Rodrigo Avelar, et al.
Publicado: (2026)
por: Menendez, Angel Rodrigo Avelar, et al.
Publicado: (2026)
Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
por: Liu, Linyu, et al.
Publicado: (2024)
por: Liu, Linyu, et al.
Publicado: (2024)
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
por: Kim, Yejin, et al.
Publicado: (2024)
por: Kim, Yejin, et al.
Publicado: (2024)
Constrained Discrete Diffusion
por: Cardei, Michael, et al.
Publicado: (2025)
por: Cardei, Michael, et al.
Publicado: (2025)
Evaluating the Relevance of Uncertainty Estimators for LLM Hallucination
por: Agnimo, Yedidia, et al.
Publicado: (2026)
por: Agnimo, Yedidia, et al.
Publicado: (2026)
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
por: Lin, Zhen, et al.
Publicado: (2023)
por: Lin, Zhen, et al.
Publicado: (2023)
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
por: Vashurin, Roman, et al.
Publicado: (2024)
por: Vashurin, Roman, et al.
Publicado: (2024)
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
por: Ouyang, Xu, et al.
Publicado: (2024)
por: Ouyang, Xu, et al.
Publicado: (2024)
Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
por: Lau, Gregory Kang Ruey, et al.
Publicado: (2026)
por: Lau, Gregory Kang Ruey, et al.
Publicado: (2026)
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
por: Zhang, Boxuan, et al.
Publicado: (2025)
por: Zhang, Boxuan, et al.
Publicado: (2025)
Recurrent Confidence Chain: Temporal-Aware Uncertainty Quantification in Large Language Models
por: Mao, Zhenjiang, et al.
Publicado: (2026)
por: Mao, Zhenjiang, et al.
Publicado: (2026)
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
por: Liu, Shang, et al.
Publicado: (2024)
por: Liu, Shang, et al.
Publicado: (2024)
Tokenisation over Bounded Alphabets is Hard
por: Kastreva, Violeta, et al.
Publicado: (2025)
por: Kastreva, Violeta, et al.
Publicado: (2025)
Uncertainty in Semantic Language Modeling with PIXELS
por: Radu, Stefania, et al.
Publicado: (2025)
por: Radu, Stefania, et al.
Publicado: (2025)
Adaptive Uncertainty Quantification for Generative AI
por: Kim, Jungeum, et al.
Publicado: (2024)
por: Kim, Jungeum, et al.
Publicado: (2024)
Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Prediction
por: Singer, Matthew, et al.
Publicado: (2026)
por: Singer, Matthew, et al.
Publicado: (2026)
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
por: Bouchard, Dylan, et al.
Publicado: (2025)
por: Bouchard, Dylan, et al.
Publicado: (2025)
Semantic-Space Exploration and Exploitation in RLVR for LLM Reasoning
por: Huang, Fanding, et al.
Publicado: (2025)
por: Huang, Fanding, et al.
Publicado: (2025)
An Isotropic Approach to Efficient Uncertainty Quantification with Gradient Norms
por: Grünefeld, Nils, et al.
Publicado: (2026)
por: Grünefeld, Nils, et al.
Publicado: (2026)
The Role of Ambiguity in Error Prediction via Uncertainty Quantification
por: Staliūnaitė, Ieva Raminta, et al.
Publicado: (2026)
por: Staliūnaitė, Ieva Raminta, et al.
Publicado: (2026)
On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
por: Wang, Ziyu, et al.
Publicado: (2024)
por: Wang, Ziyu, et al.
Publicado: (2024)
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
por: Thede, Lukas, et al.
Publicado: (2025)
por: Thede, Lukas, et al.
Publicado: (2025)
Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
por: Agrawal, Aakriti, et al.
Publicado: (2025)
por: Agrawal, Aakriti, et al.
Publicado: (2025)
Ejemplares similares
-
Demystifying optimized prompts in language models
por: Melamed, Rimon, et al.
Publicado: (2025) -
Prompts have evil twins
por: Melamed, Rimon, et al.
Publicado: (2023) -
SENECA: Small-Sample Discrete Entropy Estimation via Self-Consistent Missing Mass
por: McCabe, Lucas H., et al.
Publicado: (2026) -
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
por: Nguyen, Dang, et al.
Publicado: (2025) -
DiscoUQ: Structured Disagreement Analysis for Uncertainty Quantification in LLM Agent Ensembles
por: Jiang, Bo
Publicado: (2026)