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Proof-of-Learning with Incentive Security
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Proof-of-Learning with Incentive Security

Zishuo Zhao
Zhixuan Fang
Xuechao Wang
Xi Chen
Yuan Zhou
    AAML
ArXiv (abs)PDFHTML

Papers citing "Proof-of-Learning with Incentive Security"

4 / 4 papers shown
Title
Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy
Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy
Hasan Akgul
Daniel Borg
Arta Berisha
Amina Rahimova
Andrej Novak
Mila Petrov
ALM
83
0
0
19 Oct 2025
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt TemplatesNeural Information Processing Systems (NeurIPS), 2024
Kaifeng Lyu
Haoyu Zhao
Xinran Gu
Dingli Yu
Anirudh Goyal
Sanjeev Arora
ALM
210
78
0
20 Jan 2025
SoK: Decentralized AI (DeAI)
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
356
4
0
26 Nov 2024
It Takes Two: A Peer-Prediction Solution for Blockchain Verifier's Dilemma
It Takes Two: A Peer-Prediction Solution for Blockchain Verifier's Dilemma
Zishuo Zhao
Xi Chen
Yuan Zhou
256
2
0
03 Jun 2024

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