AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Fuente:
arXiv
Saved in:
| Main Authors: | Lesci, Pietro, Vlachos, Andreas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal Estimation of Tokenisation Bias
by: Lesci, Pietro, et al.
Published: (2025)
by: Lesci, Pietro, et al.
Published: (2025)
Diable: Efficient Dialogue State Tracking as Operations on Tables
by: Lesci, Pietro, et al.
Published: (2023)
by: Lesci, Pietro, et al.
Published: (2023)
FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark
by: Yuan, Zhangdie, et al.
Published: (2025)
by: Yuan, Zhangdie, et al.
Published: (2025)
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
by: Li, Tianjian, et al.
Published: (2024)
by: Li, Tianjian, et al.
Published: (2024)
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
by: Zhou, Lexin, et al.
Published: (2024)
by: Zhou, Lexin, et al.
Published: (2024)
The Role of Ambiguity in Error Prediction via Uncertainty Quantification
by: Staliūnaitė, Ieva Raminta, et al.
Published: (2026)
by: Staliūnaitė, Ieva Raminta, et al.
Published: (2026)
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
by: Zhu, Max, et al.
Published: (2024)
by: Zhu, Max, et al.
Published: (2024)
Causal Estimation of Memorisation Profiles
by: Lesci, Pietro, et al.
Published: (2024)
by: Lesci, Pietro, et al.
Published: (2024)
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
by: Melikidze, Davit, et al.
Published: (2026)
by: Melikidze, Davit, et al.
Published: (2026)
Active Model Selection for Large Language Models
by: Durmazkeser, Yavuz, et al.
Published: (2025)
by: Durmazkeser, Yavuz, et al.
Published: (2025)
Exploring Imbalanced Annotations for Effective In-Context Learning
by: Gao, Hongfu, et al.
Published: (2025)
by: Gao, Hongfu, et al.
Published: (2025)
Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)
by: Huang, Zenan, et al.
Published: (2025)
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
by: Akhtar, Mubashara, et al.
Published: (2024)
by: Akhtar, Mubashara, et al.
Published: (2024)
PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
by: van der Wal, Oskar, et al.
Published: (2025)
by: van der Wal, Oskar, et al.
Published: (2025)
PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)
by: Xiang, Hui, et al.
Published: (2025)
Towards Efficient Active Learning in NLP via Pretrained Representations
by: Vysogorets, Artem, et al.
Published: (2024)
by: Vysogorets, Artem, et al.
Published: (2024)
Online Bayesian Imbalanced Learning with Bregman-Calibrated Deep Networks
by: Alsulaimawi, Zahir
Published: (2026)
by: Alsulaimawi, Zahir
Published: (2026)
GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
by: Li, Xinqi, et al.
Published: (2025)
by: Li, Xinqi, et al.
Published: (2025)
Language Model-Driven Data Pruning Enables Efficient Active Learning
by: Azeemi, Abdul Hameed, et al.
Published: (2024)
by: Azeemi, Abdul Hameed, et al.
Published: (2024)
AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
Deep Bayesian Active Learning for Preference Modeling in Large Language Models
by: Melo, Luckeciano C., et al.
Published: (2024)
by: Melo, Luckeciano C., et al.
Published: (2024)
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor
by: Wang, Xiaobo, et al.
Published: (2025)
by: Wang, Xiaobo, et al.
Published: (2025)
Language Model Knowledge Distillation for Efficient Question Answering in Spanish
by: Bazaga, Adrián, et al.
Published: (2023)
by: Bazaga, Adrián, et al.
Published: (2023)
Active Preference Learning for Large Language Models
by: Muldrew, William, et al.
Published: (2024)
by: Muldrew, William, et al.
Published: (2024)
RADS: Reinforcement Learning-Based Sample Selection Improves Transfer Learning in Low-resource and Imbalanced Clinical Settings
by: Han, Wei, et al.
Published: (2026)
by: Han, Wei, et al.
Published: (2026)
Anchor function: a type of benchmark functions for studying language models
by: Zhang, Zhongwang, et al.
Published: (2024)
by: Zhang, Zhongwang, et al.
Published: (2024)
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
Decoding Rarity: Large Language Models in the Diagnosis of Rare Diseases
by: Carbonari, Valentina, et al.
Published: (2025)
by: Carbonari, Valentina, et al.
Published: (2025)
An Improved Deep Learning Model for Word Embeddings Based Clustering for Large Text Datasets
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)
Learning to Learn for Few-shot Continual Active Learning
by: Ho, Stella, et al.
Published: (2023)
by: Ho, Stella, et al.
Published: (2023)
Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation
by: Li, Jie, et al.
Published: (2025)
by: Li, Jie, et al.
Published: (2025)
Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)
Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training
by: Chung, Woojin, et al.
Published: (2025)
by: Chung, Woojin, et al.
Published: (2025)
Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
by: Biswas, Md Badsha
Published: (2025)
by: Biswas, Md Badsha
Published: (2025)
Experimental Design for Active Transductive Inference in Large Language Models
by: Mukherjee, Subhojyoti, et al.
Published: (2024)
by: Mukherjee, Subhojyoti, et al.
Published: (2024)
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
by: Zhu, Qi, et al.
Published: (2024)
by: Zhu, Qi, et al.
Published: (2024)
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets
by: Li, Dongyue, et al.
Published: (2025)
by: Li, Dongyue, et al.
Published: (2025)
Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Understanding Post-hoc Explainers: The Case of Anchors
by: Lopardo, Gianluigi, et al.
Published: (2023)
by: Lopardo, Gianluigi, et al.
Published: (2023)
RedPajama: an Open Dataset for Training Large Language Models
by: Weber, Maurice, et al.
Published: (2024)
by: Weber, Maurice, et al.
Published: (2024)
Similar Items
-
Causal Estimation of Tokenisation Bias
by: Lesci, Pietro, et al.
Published: (2025) -
Diable: Efficient Dialogue State Tracking as Operations on Tables
by: Lesci, Pietro, et al.
Published: (2023) -
FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark
by: Yuan, Zhangdie, et al.
Published: (2025) -
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
by: Li, Tianjian, et al.
Published: (2024) -
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
by: Zhou, Lexin, et al.
Published: (2024)