Cover Image

Data Shapley in One Training Run

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiachen T., Mittal, Prateek, Song, Dawn, Jia, Ruoxi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
by: Wang, Jiachen T., et al.
Published: (2024)

Capturing the Temporal Dependence of Training Data Influence
by: Wang, Jiachen T., et al.
Published: (2024)

Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice
by: Wang, Jiachen T., et al.
Published: (2025)

AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs
by: Kang, Feiyang, et al.
Published: (2024)

TokenShapley: Token Level Context Attribution with Shapley Value
by: Xiao, Yingtai, et al.
Published: (2025)

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
by: Wang, Chenguang, et al.
Published: (2024)

Effectively Controlling Reasoning Models through Thinking Intervention
by: Wu, Tong, et al.
Published: (2025)

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
by: Wang, Jiachen T., et al.
Published: (2024)

Towards Data Valuation via Asymmetric Data Shapley
by: Zheng, Xi, et al.
Published: (2024)

A Sustainable AI Economy Needs Data Deals That Work for Generators
by: Jia, Ruoxi, et al.
Published: (2026)

RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
by: Yuan, Zhuowen, et al.
Published: (2024)

Private Fine-tuning of Large Language Models with Zeroth-order Optimization
by: Tang, Xinyu, et al.
Published: (2024)

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
by: He, Yexiao, et al.
Published: (2024)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
by: van der Wal, Oskar, et al.
Published: (2025)

One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
by: Goru, Ritesh, et al.
Published: (2025)

NeuroLoRA: Context-Aware Neuromodulation for Parameter-Efficient Multi-Task Adaptation
by: Yang, Yuxin, et al.
Published: (2026)

Certifiably Robust RAG against Retrieval Corruption
by: Xiang, Chong, et al.
Published: (2024)

Prompt Valuation Based on Shapley Values
by: Liu, Hanxi, et al.
Published: (2023)

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
by: Chen, Maximillian, et al.
Published: (2024)

Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
by: Kang, Feiyang, et al.
Published: (2025)

In-Run Data Shapley for Adam Optimizer
by: Ding, Meng, et al.
Published: (2026)

Characterizing Model-Native Skills
by: Kang, Feiyang, et al.
Published: (2026)

Uncertainty Quantification of Data Shapley via Statistical Inference
by: Wu, Mengmeng, et al.
Published: (2024)

Influence Functions for Efficient Data Selection in Reasoning
by: Humane, Prateek, et al.
Published: (2025)

TabSHAP
by: Chaudhary, Aryan, et al.
Published: (2026)

DemoShapley: Valuation of Demonstrations for In-Context Learning
by: Xie, Shan, et al.
Published: (2024)

AGR: Age Group fairness Reward for Bias Mitigation in LLMs
by: Cao, Shuirong, et al.
Published: (2024)

Teach LLMs to Phish: Stealing Private Information from Language Models
by: Panda, Ashwinee, et al.
Published: (2024)

On Training Data Influence of GPT Models
by: Chai, Yekun, et al.
Published: (2024)

Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
by: Wei, Boyi, et al.
Published: (2024)

Do LLMs Follow Their Own Rules? A Reflexive Audit of Self-Stated Safety Policies
by: Mittal, Avni
Published: (2026)

Did You Forget What I Asked? Prospective Memory Failures in Large Language Models
by: Mittal, Avni
Published: (2026)

HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
by: Chen, Junying, et al.
Published: (2023)

Learning to Reason without External Rewards
by: Zhao, Xuandong, et al.
Published: (2025)

Scalable Best-of-N Selection for Large Language Models via Self-Certainty
by: Kang, Zhewei, et al.
Published: (2025)

Scaling Multi-Hop Training Data via Graph-Constrained Path Selection
by: Chen, Pengyu, et al.
Published: (2026)

HMS-BERT: Hybrid Multi-Task Self-Training for Multilingual and Multi-Label Cyberbullying Detection
by: Feng, Zixin, et al.
Published: (2026)

Explaining Large Language Models Decisions Using Shapley Values
by: Mohammadi, Behnam
Published: (2024)

Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs
by: Cai, Will, et al.
Published: (2025)

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
by: Kang, Feiyang, et al.
Published: (2024)