Active Model Selection for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Durmazkeser, Yavuz, Okanovic, Patrik, Kirsch, Andreas, Hoefler, Torsten, Gürel, Nezihe Merve |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Model Selection with Limited Annotations
by: Durmazkeser, Yavuz, et al.
Published: (2026)
by: Durmazkeser, Yavuz, et al.
Published: (2026)
All models are wrong, some are useful: Model Selection with Limited Labels
by: Okanovic, Patrik, et al.
Published: (2024)
by: Okanovic, Patrik, et al.
Published: (2024)
Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning
by: Ioannou, Antreas, et al.
Published: (2025)
by: Ioannou, Antreas, et al.
Published: (2025)
EntryPrune: Neural Network Feature Selection using First Impressions
by: Zimmer, Felix, et al.
Published: (2024)
by: Zimmer, Felix, et al.
Published: (2024)
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
by: Plecko, Drago, et al.
Published: (2025)
by: Plecko, Drago, et al.
Published: (2025)
A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks
by: Sarıtaş, Karahan, et al.
Published: (2025)
by: Sarıtaş, Karahan, et al.
Published: (2025)
Confounder Detection via Treatment Intent: A New Observational Study Design
by: Plecko, Drago, et al.
Published: (2026)
by: Plecko, Drago, et al.
Published: (2026)
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
by: Ashkboos, Saleh, et al.
Published: (2024)
by: Ashkboos, Saleh, et al.
Published: (2024)
Collaboratively Learning Federated Models from Noisy Decentralized Data
by: Li, Haoyuan, et al.
Published: (2024)
by: Li, Haoyuan, et al.
Published: (2024)
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
by: Besta, Maciej, et al.
Published: (2023)
by: Besta, Maciej, et al.
Published: (2023)
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
by: Jiang, Wenqi, et al.
Published: (2023)
by: Jiang, Wenqi, et al.
Published: (2023)
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)
Automatic Prompt Selection for Large Language Models
by: Do, Viet-Tung, et al.
Published: (2024)
by: Do, Viet-Tung, et al.
Published: (2024)
Experimental Design for Active Transductive Inference in Large Language Models
by: Mukherjee, Subhojyoti, et al.
Published: (2024)
by: Mukherjee, Subhojyoti, et al.
Published: (2024)
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
by: Brandfonbrener, David, et al.
Published: (2024)
by: Brandfonbrener, David, et al.
Published: (2024)
When Data Is Scarce: Scaling Sparse Language Models with Repeated Training
by: Wu, Boqian, et al.
Published: (2026)
by: Wu, Boqian, et al.
Published: (2026)
Active Preference Learning for Large Language Models
by: Muldrew, William, et al.
Published: (2024)
by: Muldrew, William, et al.
Published: (2024)
LLM-Select: Feature Selection with Large Language Models
by: Jeong, Daniel P., et al.
Published: (2024)
by: Jeong, Daniel P., et al.
Published: (2024)
Rule Extrapolation in Language Models: A Study of Compositional Generalization on OOD Prompts
by: Mészáros, Anna, et al.
Published: (2024)
by: Mészáros, Anna, et al.
Published: (2024)
Reviving The Classics: Active Reward Modeling in Large Language Model Alignment
by: Shen, Yunyi, et al.
Published: (2025)
by: Shen, Yunyi, et al.
Published: (2025)
SSR: Socratic Self-Refine for Large Language Model Reasoning
by: Shi, Haizhou, et al.
Published: (2025)
by: Shi, Haizhou, et al.
Published: (2025)
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
by: Wu, Xingyu, et al.
Published: (2023)
by: Wu, Xingyu, et al.
Published: (2023)
SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning
by: Limozin, Alexis, et al.
Published: (2026)
by: Limozin, Alexis, et al.
Published: (2026)
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)
by: He, Jinghan, et al.
Published: (2024)
Selective Generation for Controllable Language Models
by: Lee, Minjae, et al.
Published: (2023)
by: Lee, Minjae, et al.
Published: (2023)
On the Thinking-Language Modeling Gap in Large Language Models
by: Liu, Chenxi, et al.
Published: (2025)
by: Liu, Chenxi, et al.
Published: (2025)
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
by: Lesci, Pietro, et al.
Published: (2024)
by: Lesci, Pietro, et al.
Published: (2024)
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
by: Fu, Yao, et al.
Published: (2024)
by: Fu, Yao, et al.
Published: (2024)
Towards Active Synthetic Data Generation for Finetuning Language Models
by: Kessler, Samuel, et al.
Published: (2025)
by: Kessler, Samuel, et al.
Published: (2025)
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
by: Paul, Rakesh, et al.
Published: (2025)
by: Paul, Rakesh, et al.
Published: (2025)
State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling
by: Kiruluta, Andrew, et al.
Published: (2025)
by: Kiruluta, Andrew, et al.
Published: (2025)
SConU: Selective Conformal Uncertainty in Large Language Models
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
by: Lee, Joseph, et al.
Published: (2024)
by: Lee, Joseph, et al.
Published: (2024)
A Survey on Data Selection for Language Models
by: Albalak, Alon, et al.
Published: (2024)
by: Albalak, Alon, et al.
Published: (2024)
Selective Neuron Amplification in Transformer Language Models
by: Akhtar, Ryyan, et al.
Published: (2026)
by: Akhtar, Ryyan, et al.
Published: (2026)
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
by: Zhang, Hongxiang, et al.
Published: (2025)
by: Zhang, Hongxiang, et al.
Published: (2025)
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models
by: Mahmud, Saaduddin, et al.
Published: (2024)
by: Mahmud, Saaduddin, et al.
Published: (2024)
Large Language Diffusion Models
by: Nie, Shen, et al.
Published: (2025)
by: Nie, Shen, et al.
Published: (2025)
Similar Items
-
Large Language Model Selection with Limited Annotations
by: Durmazkeser, Yavuz, et al.
Published: (2026) -
All models are wrong, some are useful: Model Selection with Limited Labels
by: Okanovic, Patrik, et al.
Published: (2024) -
Evaluating the Limits of Large Language Models in Multilingual Legal Reasoning
by: Ioannou, Antreas, et al.
Published: (2025) -
EntryPrune: Neural Network Feature Selection using First Impressions
by: Zimmer, Felix, et al.
Published: (2024) -
Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
by: Plecko, Drago, et al.
Published: (2025)