AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels

30 August 2022

Papers citing "AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels"

7 / 7 papers shown

Title
MLGym: A New Framework and Benchmark for Advancing AI Research Agents Deepak Nathani Lovish Madaan Nicholas Roberts Nikolay Bashlykov Ajay Menon ... Tatiana Shavrina Jakob Foerster Yoram Bachrach William Yang Wang Roberta Raileanu LLMAG 78 7 0 21 Feb 2025
ScriptoriumWS: A Code Generation Assistant for Weak Supervision Tzu-Heng Huang Catherine Cao Spencer Schoenberg Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 104 5 0 17 Feb 2025
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators Tzu-Heng Huang Catherine Cao Vaishnavi Bhargava Frederic Sala 26 3 0 25 Jun 2024
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches Zihan Wang Tianle Wang Dheeraj Mekala Jingbo Shang VLM 17 8 0 22 May 2023
Automatic Rule Induction for Interpretable Semi-Supervised Learning Reid Pryzant Ziyi Yang Yichong Xu Chenguang Zhu Michael Zeng 20 9 0 18 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020