Reconsidering LLM Uncertainty Estimation Methods in the Wild
Fuente:
arXiv
Guardado en:
| Autores principales: | Bakman, Yavuz, Yaldiz, Duygu Nur, Kang, Sungmin, Zhang, Tuo, Buyukates, Baturalp, Avestimehr, Salman, Karimireddy, Sai Praneeth |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
por: Bakman, Yavuz, et al.
Publicado: (2026)
por: Bakman, Yavuz, et al.
Publicado: (2026)
Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions
por: Kang, Sungmin, et al.
Publicado: (2025)
por: Kang, Sungmin, et al.
Publicado: (2025)
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
por: Bakman, Yavuz Faruk, et al.
Publicado: (2024)
por: Bakman, Yavuz Faruk, et al.
Publicado: (2024)
Conformal Prediction Adaptive to Unknown Subpopulation Shifts
por: Wang, Nien-Shao, et al.
Publicado: (2025)
por: Wang, Nien-Shao, et al.
Publicado: (2025)
Reject Only Critical Tokens: Pivot-Aware Speculative Decoding
por: Ziashahabi, Amir, et al.
Publicado: (2025)
por: Ziashahabi, Amir, et al.
Publicado: (2025)
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)
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
por: Yaldiz, Duygu Nur, et al.
Publicado: (2024)
por: Yaldiz, Duygu Nur, et al.
Publicado: (2024)
Un-considering Contextual Information: Assessing LLMs' Understanding of Indexical Elements
por: Oguz, Metehan, et al.
Publicado: (2025)
por: Oguz, Metehan, et al.
Publicado: (2025)
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
por: Ceyani, Emir, et al.
Publicado: (2025)
por: Ceyani, Emir, et al.
Publicado: (2025)
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs
por: Yaldiz, Duygu Nur, et al.
Publicado: (2025)
por: Yaldiz, Duygu Nur, et al.
Publicado: (2025)
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
por: Turkmen, Yigit, et al.
Publicado: (2026)
por: Turkmen, Yigit, et al.
Publicado: (2026)
On the Limits of Momentum in Decentralized and Federated Optimization
por: Zaccone, Riccardo, et al.
Publicado: (2025)
por: Zaccone, Riccardo, et al.
Publicado: (2025)
Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
por: Fan, Dongyang, et al.
Publicado: (2025)
por: Fan, Dongyang, et al.
Publicado: (2025)
Balancing Information Accuracy and Response Timeliness in Networked LLMs
por: Turkmen, Yigit, et al.
Publicado: (2025)
por: Turkmen, Yigit, et al.
Publicado: (2025)
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
por: Panda, Subhodip, et al.
Publicado: (2025)
por: Panda, Subhodip, et al.
Publicado: (2025)
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
por: Han, Shanshan, et al.
Publicado: (2023)
por: Han, Shanshan, et al.
Publicado: (2023)
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
por: Yang, Mengwei, et al.
Publicado: (2024)
por: Yang, Mengwei, et al.
Publicado: (2024)
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
por: Rokvic, Ljubomir, et al.
Publicado: (2022)
por: Rokvic, Ljubomir, et al.
Publicado: (2022)
Ghosted Layers: Unconstrained Activation Alignment for Recovering Layer-Pruned LLMs
por: Yun, Vincent-Daniel, et al.
Publicado: (2026)
por: Yun, Vincent-Daniel, et al.
Publicado: (2026)
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
por: Mushtaq, Erum, et al.
Publicado: (2024)
por: Mushtaq, Erum, et al.
Publicado: (2024)
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys
por: Niu, Yue, et al.
Publicado: (2024)
por: Niu, Yue, et al.
Publicado: (2024)
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
por: Zaccone, Riccardo, et al.
Publicado: (2023)
por: Zaccone, Riccardo, et al.
Publicado: (2023)
Robust Multi-Agent LLMs under Byzantine Faults
por: Lee, Haejoon, et al.
Publicado: (2026)
por: Lee, Haejoon, et al.
Publicado: (2026)
A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
por: Chen, Minghui, et al.
Publicado: (2025)
por: Chen, Minghui, et al.
Publicado: (2025)
ModalityMirror: Improving Audio Classification in Modality Heterogeneity Federated Learning with Multimodal Distillation
por: Feng, Tiantian, et al.
Publicado: (2024)
por: Feng, Tiantian, et al.
Publicado: (2024)
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
por: Han, Shanshan, et al.
Publicado: (2025)
por: Han, Shanshan, et al.
Publicado: (2025)
Cross-Domain Synthetic-to-Real In-the-Wild Depth and Normal Estimation for 3D Scene Understanding
por: Bhanushali, Jay, et al.
Publicado: (2022)
por: Bhanushali, Jay, et al.
Publicado: (2022)
Leveraging Uncertainty Estimation for Efficient LLM Routing
por: Zhang, Tuo, et al.
Publicado: (2025)
por: Zhang, Tuo, et al.
Publicado: (2025)
A Systematic Analysis of Base Model Choice for Reward Modeling
por: Ahrabian, Kian, et al.
Publicado: (2025)
por: Ahrabian, Kian, et al.
Publicado: (2025)
Renormalization Group flow, Optimal Transport and Diffusion-based Generative Model
por: Sheshmani, Artan, et al.
Publicado: (2024)
por: Sheshmani, Artan, et al.
Publicado: (2024)
GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation
por: Kang, Sungmin, et al.
Publicado: (2025)
por: Kang, Sungmin, et al.
Publicado: (2025)
HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models
por: Mushtaq, Erum, et al.
Publicado: (2025)
por: Mushtaq, Erum, et al.
Publicado: (2025)
GeoToken: Hierarchical Geolocalization of Images via Next Token Prediction
por: Ghasemi, Narges, et al.
Publicado: (2025)
por: Ghasemi, Narges, et al.
Publicado: (2025)
Optimization with Access to Auxiliary Information
por: Chayti, El Mahdi, et al.
Publicado: (2022)
por: Chayti, El Mahdi, et al.
Publicado: (2022)
Edge Private Graph Neural Networks with Singular Value Perturbation
por: Tang, Tingting, et al.
Publicado: (2024)
por: Tang, Tingting, et al.
Publicado: (2024)
EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors
por: Banayeeanzade, Amin, et al.
Publicado: (2026)
por: Banayeeanzade, Amin, et al.
Publicado: (2026)
CryptoMamba: Leveraging State Space Models for Accurate Bitcoin Price Prediction
por: Sepehri, Mohammad Shahab, et al.
Publicado: (2025)
por: Sepehri, Mohammad Shahab, et al.
Publicado: (2025)
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
por: Veeraragavan, Narasimha Raghavan, et al.
Publicado: (2024)
por: Veeraragavan, Narasimha Raghavan, et al.
Publicado: (2024)
Reconsidering the Performance of GAE in Link Prediction
por: Ma, Weishuo, et al.
Publicado: (2024)
por: Ma, Weishuo, et al.
Publicado: (2024)
OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction
por: Hallinan, Skyler, et al.
Publicado: (2026)
por: Hallinan, Skyler, et al.
Publicado: (2026)
Ejemplares similares
-
Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update Alignment
por: Bakman, Yavuz, et al.
Publicado: (2026) -
Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions
por: Kang, Sungmin, et al.
Publicado: (2025) -
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
por: Bakman, Yavuz Faruk, et al.
Publicado: (2024) -
Conformal Prediction Adaptive to Unknown Subpopulation Shifts
por: Wang, Nien-Shao, et al.
Publicado: (2025) -
Reject Only Critical Tokens: Pivot-Aware Speculative Decoding
por: Ziashahabi, Amir, et al.
Publicado: (2025)