GPT Self-Supervision for a Better Data Annotator

7 June 2023

Papers citing "GPT Self-Supervision for a Better Data Annotator"

8 / 8 papers shown

Title
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models Yuzhe Gu Ziwei Ji Wenwei Zhang Chengqi Lyu Dahua Lin Kai Chen HILM 34 5 0 05 Jul 2024
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators Tzu-Heng Huang Catherine Cao Vaishnavi Bhargava Frederic Sala 33 3 0 25 Jun 2024
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge Andong Wang Bo Wu Sunli Chen Zhenfang Chen Haotian Guan Wei-Ning Lee Li Erran Li Chuang Gan LRM RALM 29 16 0 15 May 2024
How to Understand "Support"? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding Jiamin Luo Jianing Zhao Jingjing Wang Guodong Zhou 41 0 0 29 Feb 2024
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy Shuhai Zhang Yiliao Song Jiahao Yang Yuanqing Li Bo Han Mingkui Tan DeLMO 29 5 0 25 Feb 2024
Label-free Node Classification on Graphs with Large Language Models (LLMS) Zhikai Chen Haitao Mao Hongzhi Wen Haoyu Han Wei-dong Jin Haiyang Zhang Hui Liu Jiliang Tang 28 71 0 07 Oct 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,244 0 16 Jan 2013