v1v2 (latest)

Training Complex Models with Multi-Task Weak Supervision

5 October 2018

Alexander Ratner

Papers citing "Training Complex Models with Multi-Task Weak Supervision"

50 / 120 papers shown

Title
Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation Tzu-Heng Huang Harit Vishwakarma Frederic Sala ELM 112 0 0 12 Jun 2025
Weak Supervision for Real World Graphs Pratheeksha Nair Reihaneh Rabbany NoLa 51 0 0 03 Jun 2025
ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization Yuchen He Jianbing Lv Liqi Cheng Lingyu Meng Dazhen Deng Yingcai Wu 40 0 0 23 May 2025
ScriptoriumWS: A Code Generation Assistant for Weak Supervision Tzu-Heng Huang Catherine Cao Spencer Schoenberg Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 235 7 0 17 Feb 2025
Smoothie: Label Free Language Model Routing Neel Guha Mayee F. Chen Trevor Chow Ishan S. Khare Christopher Ré 132 5 0 06 Dec 2024
Reward Modeling with Weak Supervision for Language Models Ben Hauptvogel Malte Ostendorff Georg Rehm Sebastian Möller OffRL 21 0 0 28 Oct 2024
Evaluation of a Data Annotation Platform for Large, Time-Series Datasets in Intensive Care: Mixed Methods Study Marceli Wac Raúl Santos-Rodríguez C. McWilliams Christopher P Bourdeaux 57 0 0 22 Oct 2024
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates A. Narayan Mayee F. Chen Kush S. Bhatia Christopher Ré SyDa 64 3 0 07 Oct 2024
Interactive Machine Teaching by Labeling Rules and Instances Giannis Karamanolakis Daniel J. Hsu Luis Gravano 73 1 0 08 Sep 2024
How to Train Text Summarization Model with Weak Supervisions Y Samuel Wang Wenyu Chen Shimin Shan 60 0 0 27 Aug 2024
The Literature Review Network: An Explainable Artificial Intelligence for Systematic Literature Reviews, Meta-analyses, and Method Development Joshua Morriss Tod Brindle Jessica Bah Rösman Daniel Reibsamen Andreas Enz 39 0 0 05 Aug 2024
Automating Weak Label Generation for Data Programming with Clinicians in the Loop Jean Park Sydney Pugh Kaustubh Sridhar Mengyu Liu N. Yarna Ramneet Kaur Souradeep Dutta E. Bernardis O. Sokolsky Insup Lee MedIm 63 1 0 10 Jul 2024
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators Tzu-Heng Huang Catherine Cao Vaishnavi Bhargava Frederic Sala 104 5 0 25 Jun 2024
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors Alex Chandler Devesh Surve Hui Su HILM UQCV 58 1 0 18 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 90 0 0 16 Jun 2024
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 116 27 0 25 May 2024
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation Adithya Kulkarni Oliver Eulenstein Qi Li 60 0 0 28 Mar 2024
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems Chu Li Zhihan Zhang Michael Saugstad Esteban Safranchik Minchu Kulkarni Xiaoyu Huang Shwetak N. Patel Vikram Iyer Tim Althoff Jon E. Froehlich 77 7 0 14 Mar 2024
ActiveDP: Bridging Active Learning and Data Programming Naiqing Guan Nick Koudas VLM 82 1 0 08 Feb 2024
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision Jinyan Su Peilin Yu Jieyu Zhang Stephen H. Bach 60 2 0 02 Feb 2024
Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data Leonardo Castro-Gonzalez Yi-Ling Chung Hannak Rose Kirk John Francis Angus R. Williams Pica Johansson Jonathan Bright 69 1 0 22 Jan 2024
Multimodal Data Curation via Object Detection and Filter Ensembles Tzu-Heng Huang Changho Shin Sui Jiet Tay Dyah Adila Frederic Sala 86 7 0 05 Jan 2024
Fusing Conditional Submodular GAN and Programmatic Weak Supervision Kumar Shubham Pranav Sastry AP Prathosh 77 2 0 16 Dec 2023
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers Kangda Wei Sayan Ghosh Rakesh R Menon Shashank Srivastava 84 2 0 13 Nov 2023
Can Large Language Models Design Accurate Label Functions? Naiqing Guan Kaiwen Chen Nick Koudas ALM 58 7 0 01 Nov 2023
Utilizing Weak Supervision To Generate Indonesian Conservation Dataset Mega Fransiska Diah Pitaloka Saripudin Satrio Putra Lintang Sutawika 92 0 0 17 Oct 2023
PromptRE: Weakly-Supervised Document-Level Relation Extraction via Prompting-Based Data Programming Chufan Gao Xulin Fan Jimeng Sun Xuan Wang 60 7 0 13 Oct 2023
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler Zhijun Chen Hailong Sun Wanhao Zhang Chunyi Xu Qianren Mao Pengpeng Chen BDL 89 6 0 10 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems Sydney Pugh I. Ruchkin Insup Lee James Weimer AAML OOD 39 0 0 01 Sep 2023
LARCH: Large Language Model-based Automatic Readme Creation with Heuristics Yuta Koreeda Terufumi Morishita Osamu Imaichi Yasuhiro Sogawa VLM 54 3 0 06 Aug 2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification Neel Guha Mayee F. Chen Kush S. Bhatia Azalia Mirhoseini Frederic Sala Christopher Ré 76 4 0 20 Jul 2023
RACH-Space: Reconstructing Adaptive Convex Hull Space with Applications in Weak Supervision Woojoo Na Abiy Tasissa 70 0 0 10 Jul 2023
Pareto Optimal Learning for Estimating Large Language Model Errors Theodore Zhao Mu-Hsin Wei J. S. Preston Hoifung Poon 110 7 0 28 Jun 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal Anastasiia Sedova Lena Zellinger Benjamin Roth 51 3 0 07 Jun 2023
Local Boosting for Weakly-Supervised Learning Rongzhi Zhang Yue Yu Jiaming Shen Xiquan Cui Chao Zhang WSOL 84 3 0 05 Jun 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 142 1 0 02 Jun 2023
DataComp: In search of the next generation of multimodal datasets S. Gadre Gabriel Ilharco Alex Fang J. Hayase Georgios Smyrnis ... A. Dimakis J. Jitsev Y. Carmon Vaishaal Shankar Ludwig Schmidt VLM 104 452 0 27 Apr 2023
A Benchmark Generative Probabilistic Model for Weak Supervised Learning Georgios Th. Papadopoulos Fran Silavong Sean J. Moran SyDa 55 0 0 31 Mar 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 71 2 0 30 Mar 2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models Dongyue Li Huy Le Nguyen Hongyang R. Zhang 83 13 0 25 Mar 2023
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data Shenghan Zhang Haoxuan Li Ruixiang Tang Sirui Ding L. Rasmy Degui Zhi Na Zou Helen Zhou 59 5 0 19 Mar 2023
Weakly Supervised Label Learning Flows You Lu Chidubem Arachie Bert Huang 70 0 0 19 Feb 2023
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents Bradley Butcher Miri Zilka Darren Cook Jiri Hron Adrian Weller 66 4 0 18 Feb 2023
AutoWS: Automated Weak Supervision Framework for Text Classification Abhinav Bohra Huy-Thanh Nguyen Devashish Khatwani NoLa 54 0 0 07 Feb 2023
Label-Efficient Interactive Time-Series Anomaly Detection Hongmei Guo Yujing Wang Jieyu Zhang Zhe-Min Lin Yu Tong Lei Yang Luoxing Xiong Congrui Huang AI4TS 72 1 0 30 Dec 2022
Resonant Anomaly Detection with Multiple Reference Datasets Mayee F. Chen Benjamin Nachman Frederic Sala 66 6 0 20 Dec 2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning Wenhao Wu Wei Li Xinyan Xiao Jiachen Liu Sujian Li Yajuan Lv HILM 92 6 0 20 Dec 2022
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction Dylan Sam J. Zico Kolter NoLa OffRL 134 13 0 13 Dec 2022
Lifting Weak Supervision To Structured Prediction Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 86 8 0 24 Nov 2022
Ground Truth Inference for Weakly Supervised Entity Matching Renzhi Wu Alexander Bendeck Xu Chu Yeye He 62 8 0 13 Nov 2022