Imagen de Portada

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vishwakarma, Harit, Reid, Chen, Tay, Sui Jiet, Namburi, Satya Sai Srinath, Sala, Frederic, Vinayak, Ramya Korlakai
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Promises and Pitfalls of Threshold-based Auto-labeling
por: Vishwakarma, Harit, et al.
Publicado: (2022)

Taming False Positives in Out-of-Distribution Detection with Human Feedback
por: Vishwakarma, Harit, et al.
Publicado: (2024)

Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
por: Yamada, Daisuke, et al.
Publicado: (2025)

CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
por: Zhao, Jitian, et al.
Publicado: (2026)

Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation
por: Huang, Tzu-Heng, et al.
Publicado: (2025)

GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering
por: Jenkins, Stockton, et al.
Publicado: (2026)

OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
por: Shin, Changho, et al.
Publicado: (2024)

Pretrained Hybrids with MAD Skills
por: Roberts, Nicholas, et al.
Publicado: (2024)

Metric Learning in an RKHS
por: Tatli, Gokcan, et al.
Publicado: (2025)

LETS Forecast: Learning Embedology for Time Series Forecasting
por: Majeedi, Abrar, et al.
Publicado: (2025)

Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
por: Bauer, Justin, et al.
Publicado: (2026)

Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
por: Chen, Yi, et al.
Publicado: (2026)

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
por: Ge, Albert, et al.
Publicado: (2025)

Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay
por: Oota, Subba Reddy, et al.
Publicado: (2026)

Linguistic properties and model scale in brain encoding: from small to compressed language models
por: Oota, Subba Reddy, et al.
Publicado: (2026)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
por: Oota, Subba Reddy, et al.
Publicado: (2025)

Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli
por: Oota, Subba Reddy, et al.
Publicado: (2025)

Multimodal Data Curation via Object Detection and Filter Ensembles
por: Huang, Tzu-Heng, et al.
Publicado: (2024)

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
por: Vishwakarma, Harit, et al.
Publicado: (2024)

Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
por: Wang, Zhi, et al.
Publicado: (2025)

Metric Learning from Limited Pairwise Preference Comparisons
por: Wang, Zhi, et al.
Publicado: (2024)

Tabby: A Language Model Architecture for Tabular and Structured Data Synthesis
por: Cromp, Sonia, et al.
Publicado: (2025)

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
por: Harit, Anoushka, et al.
Publicado: (2025)

PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
por: Chen, Daiwei, et al.
Publicado: (2024)

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
por: Sun, Zhongtian, et al.
Publicado: (2025)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
por: Sun, Zhongtian, et al.
Publicado: (2025)

RICA2: Rubric-Informed, Calibrated Assessment of Actions
por: Majeedi, Abrar, et al.
Publicado: (2024)

Maximizing Confidence Alone Improves Reasoning
por: Prabhudesai, Mihir, et al.
Publicado: (2025)

Auto FAQ Generation
por: Kalvakolanu, Anjaneya Teja, et al.
Publicado: (2024)

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation
por: Chen, Daiwei, et al.
Publicado: (2026)

ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations
por: Harit, Anoushka, et al.
Publicado: (2025)

Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models
por: Sai, Vishnu, et al.
Publicado: (2026)

COSMOS: Predictable and Cost-Effective Adaptation of LLMs
por: Wang, Jiayu, et al.
Publicado: (2025)

Weak-to-Strong Generalization Through the Data-Centric Lens
por: Shin, Changho, et al.
Publicado: (2024)

Beyond Confidence: The Rhythms of Reasoning in Generative Models
por: Liu, Deyuan, et al.
Publicado: (2026)

Confidence Interval Estimation of Predictive Performance in the Context of AutoML
por: Paraschakis, Konstantinos, et al.
Publicado: (2024)

Confidence Improves Self-Consistency in LLMs
por: Taubenfeld, Amir, et al.
Publicado: (2025)

Hyperparameter Importance Analysis for Multi-Objective AutoML
por: Theodorakopoulos, Daphne, et al.
Publicado: (2024)

Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs
por: Harit, Anoushka, et al.
Publicado: (2024)

Auto311: A Confidence-guided Automated System for Non-emergency Calls
por: Chen, Zirong, et al.
Publicado: (2023)