Ensembling Finetuned Language Models for Text Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Arango, Sebastian Pineda, Janowski, Maciej, Purucker, Lennart, Zela, Arber, Hutter, Frank, Grabocka, Josif |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Regularized Neural Ensemblers
by: Arango, Sebastian Pineda, et al.
Published: (2024)
by: Arango, Sebastian Pineda, et al.
Published: (2024)
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
by: Arango, Sebastian Pineda, et al.
Published: (2023)
by: Arango, Sebastian Pineda, et al.
Published: (2023)
Multi-objective Differentiable Neural Architecture Search
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
Transfer Learning for Finetuning Large Language Models
by: Strangmann, Tobias, et al.
Published: (2024)
by: Strangmann, Tobias, et al.
Published: (2024)
How Usable is Automated Feature Engineering for Tabular Data?
by: Schäfer, Bastian, et al.
Published: (2025)
by: Schäfer, Bastian, et al.
Published: (2025)
When is Warmstarting Effective for Scaling Language Models?
by: Mallik, Neeratyoy, et al.
Published: (2026)
by: Mallik, Neeratyoy, et al.
Published: (2026)
Warmstarting for Scaling Language Models
by: Mallik, Neeratyoy, et al.
Published: (2024)
by: Mallik, Neeratyoy, et al.
Published: (2024)
Transformers Can Do Bayesian Inference
by: Müller, Samuel, et al.
Published: (2021)
by: Müller, Samuel, et al.
Published: (2021)
Interpretable Mesomorphic Networks for Tabular Data
by: Kadra, Arlind, et al.
Published: (2023)
by: Kadra, Arlind, et al.
Published: (2023)
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
by: Siems, Julien, et al.
Published: (2025)
by: Siems, Julien, et al.
Published: (2025)
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024)
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
by: Grazzi, Riccardo, et al.
Published: (2024)
by: Grazzi, Riccardo, et al.
Published: (2024)
Zhyper: Factorized Hypernetworks for Conditioned LLM Fine-Tuning
by: Abdalla, M. H. I., et al.
Published: (2025)
by: Abdalla, M. H. I., et al.
Published: (2025)
Multi-Objective Hierarchical Optimization with Large Language Models
by: Schwanke, Andrej, et al.
Published: (2026)
by: Schwanke, Andrej, et al.
Published: (2026)
Large Language Models Engineer Too Many Simple Features For Tabular Data
by: Küken, Jaris, et al.
Published: (2024)
by: Küken, Jaris, et al.
Published: (2024)
Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models
by: Bühler, Magnus, et al.
Published: (2026)
by: Bühler, Magnus, et al.
Published: (2026)
Quickly Tuning Foundation Models for Image Segmentation
by: Das, Breenda, et al.
Published: (2025)
by: Das, Breenda, et al.
Published: (2025)
Early Stopping Tabular In-Context Learning
by: Küken, Jaris, et al.
Published: (2025)
by: Küken, Jaris, et al.
Published: (2025)
Towards Benchmarking Foundation Models for Tabular Data With Text
by: Mráz, Martin, et al.
Published: (2025)
by: Mráz, Martin, et al.
Published: (2025)
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
by: Arazi, Alan, et al.
Published: (2026)
by: Arazi, Alan, et al.
Published: (2026)
Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch
by: Ferreira, Fabio, et al.
Published: (2026)
by: Ferreira, Fabio, et al.
Published: (2026)
Don't Waste Your Time: Early Stopping Cross-Validation
by: Bergman, Edward, et al.
Published: (2024)
by: Bergman, Edward, et al.
Published: (2024)
Agentic NL2SQL to Reduce Computational Costs
by: Jehle, Dominik, et al.
Published: (2025)
by: Jehle, Dominik, et al.
Published: (2025)
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
by: Moroshan, Vladyslav, et al.
Published: (2025)
by: Moroshan, Vladyslav, et al.
Published: (2025)
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
by: Shala, Gresa, et al.
Published: (2024)
by: Shala, Gresa, et al.
Published: (2024)
nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN
by: Pfefferle, Alexander, et al.
Published: (2025)
by: Pfefferle, Alexander, et al.
Published: (2025)
Towards Scaling Laws for Symbolic Regression
by: Otte, David, et al.
Published: (2025)
by: Otte, David, et al.
Published: (2025)
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
by: Somayajula, Sai Ashish, et al.
Published: (2024)
by: Somayajula, Sai Ashish, et al.
Published: (2024)
GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning
by: Mueller, Andreas, et al.
Published: (2024)
by: Mueller, Andreas, et al.
Published: (2024)
Finetuning Language Models to Emit Linguistic Expressions of Uncertainty
by: Chaudhry, Arslan, et al.
Published: (2024)
by: Chaudhry, Arslan, et al.
Published: (2024)
HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data
by: Maier, Jannis, et al.
Published: (2026)
by: Maier, Jannis, et al.
Published: (2026)
Towards Active Synthetic Data Generation for Finetuning Language Models
by: Kessler, Samuel, et al.
Published: (2025)
by: Kessler, Samuel, et al.
Published: (2025)
Large Language Models to Diffusion Finetuning
by: Cetin, Edoardo, et al.
Published: (2025)
by: Cetin, Edoardo, et al.
Published: (2025)
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
by: Zhang, Biao, et al.
Published: (2024)
by: Zhang, Biao, et al.
Published: (2024)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
by: Gong, Zi, et al.
Published: (2024)
by: Gong, Zi, et al.
Published: (2024)
MuonAll: Muon Variant for Efficient Finetuning of Large Language Models
by: Page, Saurabh, et al.
Published: (2025)
by: Page, Saurabh, et al.
Published: (2025)
ReFT: Representation Finetuning for Language Models
by: Wu, Zhengxuan, et al.
Published: (2024)
by: Wu, Zhengxuan, et al.
Published: (2024)
Vanishing Gradients in Reinforcement Finetuning of Language Models
by: Razin, Noam, et al.
Published: (2023)
by: Razin, Noam, et al.
Published: (2023)
An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
by: Hamdi, Ali, et al.
Published: (2025)
by: Hamdi, Ali, et al.
Published: (2025)
Similar Items
-
Regularized Neural Ensemblers
by: Arango, Sebastian Pineda, et al.
Published: (2024) -
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
by: Arango, Sebastian Pineda, et al.
Published: (2023) -
Multi-objective Differentiable Neural Architecture Search
by: Sukthanker, Rhea Sanjay, et al.
Published: (2024) -
Transfer Learning for Finetuning Large Language Models
by: Strangmann, Tobias, et al.
Published: (2024) -
How Usable is Automated Feature Engineering for Tabular Data?
by: Schäfer, Bastian, et al.
Published: (2025)