Predicting Task Performance with Context-aware Scaling Laws
Fuente:
arXiv
Saved in:
| Main Authors: | Montgomery, Kyle, Park, David, Tu, Jianhong, Bendersky, Michael, Gunel, Beliz, Song, Dawn, Wang, Chenguang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
by: Crispino, Nicholas, et al.
Published: (2023)
by: Crispino, Nicholas, et al.
Published: (2023)
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024)
by: Pasewark, Eric, et al.
Published: (2024)
Budget-aware Test-time Scaling via Discriminative Verification
by: Montgomery, Kyle, et al.
Published: (2025)
by: Montgomery, Kyle, et al.
Published: (2025)
Scaling Laws for Predicting Downstream Performance in LLMs
by: Chen, Yangyi, et al.
Published: (2024)
by: Chen, Yangyi, et al.
Published: (2024)
STRUM-LLM: Attributed and Structured Contrastive Summarization
by: Gunel, Beliz, et al.
Published: (2024)
by: Gunel, Beliz, et al.
Published: (2024)
Observational Scaling Laws and the Predictability of Language Model Performance
by: Ruan, Yangjun, et al.
Published: (2024)
by: Ruan, Yangjun, et al.
Published: (2024)
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
by: Li, Zhuowan, et al.
Published: (2024)
by: Li, Zhuowan, et al.
Published: (2024)
SteeringSafety: A Systematic Safety Evaluation Framework of Representation Steering in LLMs
by: Siu, Vincent, et al.
Published: (2025)
by: Siu, Vincent, et al.
Published: (2025)
Loss-to-Loss Prediction: Scaling Laws for All Datasets
by: Brandfonbrener, David, et al.
Published: (2024)
by: Brandfonbrener, David, et al.
Published: (2024)
JudgeBench: A Benchmark for Evaluating LLM-based Judges
by: Tan, Sijun, et al.
Published: (2024)
by: Tan, Sijun, et al.
Published: (2024)
MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models
by: Tu, Jianhong, et al.
Published: (2024)
by: Tu, Jianhong, et al.
Published: (2024)
PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
by: Goffinet, Etienne, et al.
Published: (2025)
by: Goffinet, Etienne, et al.
Published: (2025)
Batched Contextual Reinforcement: A Task-Scaling Law for Efficient Reasoning
by: Yang, Bangji, et al.
Published: (2026)
by: Yang, Bangji, et al.
Published: (2026)
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
by: Wang, Chenguang, et al.
Published: (2024)
by: Wang, Chenguang, et al.
Published: (2024)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)
by: Zhou, Chenxi, et al.
Published: (2025)
Theoretical Foundations of Scaling Law in Familial Models
by: Song, Huan, et al.
Published: (2025)
by: Song, Huan, et al.
Published: (2025)
AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs
by: Kang, Feiyang, et al.
Published: (2024)
by: Kang, Feiyang, et al.
Published: (2024)
PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024)
by: Kong, Weize, et al.
Published: (2024)
Distillation Scaling Laws
by: Busbridge, Dan, et al.
Published: (2025)
by: Busbridge, Dan, et al.
Published: (2025)
SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
by: Lee, Changhun, et al.
Published: (2025)
by: Lee, Changhun, et al.
Published: (2025)
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
by: Rafailov, Rafael, et al.
Published: (2024)
by: Rafailov, Rafael, et al.
Published: (2024)
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
by: Han, Seungwook, et al.
Published: (2024)
by: Han, Seungwook, et al.
Published: (2024)
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
by: Ye, Jiasheng, et al.
Published: (2024)
by: Ye, Jiasheng, et al.
Published: (2024)
What Scales in Cross-Entropy Scaling Law?
by: Yan, Junxi, et al.
Published: (2025)
by: Yan, Junxi, et al.
Published: (2025)
To Memorize or to Retrieve: Scaling Laws for RAG-Considerate Pretraining
by: Singh, Karan, et al.
Published: (2026)
by: Singh, Karan, et al.
Published: (2026)
Scaling Laws for Many-Shot In-Context Learning with Self-Generated Annotations
by: Gu, Zhengyao, et al.
Published: (2025)
by: Gu, Zhengyao, et al.
Published: (2025)
BRIDGE: Predicting Human Task Completion Time From Model Performance
by: Liu, Fengyuan, et al.
Published: (2026)
by: Liu, Fengyuan, et al.
Published: (2026)
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
by: Ye, Jiasheng, et al.
Published: (2023)
by: Ye, Jiasheng, et al.
Published: (2023)
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
by: Kang, Zhewei, et al.
Published: (2025)
by: Kang, Zhewei, et al.
Published: (2025)
Scaling Law with Learning Rate Annealing
by: Tissue, Howe, et al.
Published: (2024)
by: Tissue, Howe, et al.
Published: (2024)
Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence Metrics
by: Park, Jin Hyun, et al.
Published: (2025)
by: Park, Jin Hyun, et al.
Published: (2025)
P$^2$ Law: Scaling Law for Post-Training After Model Pruning
by: Chen, Xiaodong, et al.
Published: (2024)
by: Chen, Xiaodong, et al.
Published: (2024)
Scaling Laws for Fine-Grained Mixture of Experts
by: Krajewski, Jakub, et al.
Published: (2024)
by: Krajewski, Jakub, et al.
Published: (2024)
Can Language Models Discover Scaling Laws?
by: Lin, Haowei, et al.
Published: (2025)
by: Lin, Haowei, et al.
Published: (2025)
A Hitchhiker's Guide to Scaling Law Estimation
by: Choshen, Leshem, et al.
Published: (2024)
by: Choshen, Leshem, et al.
Published: (2024)
Exploring Scaling Laws for EHR Foundation Models
by: Zhang, Sheng, et al.
Published: (2025)
by: Zhang, Sheng, et al.
Published: (2025)
CERM: Context-aware Literature-based Discovery via Sentiment Analysis
by: Young, Julio Christian, et al.
Published: (2024)
by: Young, Julio Christian, et al.
Published: (2024)
KV Cache Offloading for Context-Intensive Tasks
by: Bocharnikov, Andrey, et al.
Published: (2026)
by: Bocharnikov, Andrey, et al.
Published: (2026)
Can AI Freelancers Compete? Benchmarking Earnings, Reliability, and Task Success at Scale
by: Noever, David, et al.
Published: (2025)
by: Noever, David, et al.
Published: (2025)
Efficient Relational Context Perception for Knowledge Graph Completion
by: Tu, Wenkai, et al.
Published: (2024)
by: Tu, Wenkai, et al.
Published: (2024)
Similar Items
-
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
by: Crispino, Nicholas, et al.
Published: (2023) -
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
by: Pasewark, Eric, et al.
Published: (2024) -
Budget-aware Test-time Scaling via Discriminative Verification
by: Montgomery, Kyle, et al.
Published: (2025) -
Scaling Laws for Predicting Downstream Performance in LLMs
by: Chen, Yangyi, et al.
Published: (2024) -
STRUM-LLM: Attributed and Structured Contrastive Summarization
by: Gunel, Beliz, et al.
Published: (2024)