Stephen H. Bach
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
16
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Trove: A Flexible Toolkit for Dense Retrieval. | Reza Esfandiarpoor, Max Zuo, Stephen H. Bach |
| 2026 | EACL | Revisiting Generalization Across Difficulty Levels: It's Not So Easy. | Yeganeh Kordi, Nihal V. Nayak, Max Zuo, Ilana Nguyen, Stephen H. Bach |
| 2025 | AISTATS | An Adaptive Method for Weak Supervision with Drifting Data. | Alessio Mazzetto, Reza Esfandiarpoor, Akash Singirikonda, Eli Upfal, Stephen H. Bach |
| 2025 | EMNLP | Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance. | Reza Esfandiarpoor, George Zerveas, Ruochen Zhang, Macton Mgonzo, Carsten Eickhoff, Stephen H. Bach |
| 2025 | EMNLP | The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It. | Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, Stephen H. Bach, Julia Kreutzer |
| 2025 | KDD | K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction. | Tassallah Abdullahi, Ioanna Gemou, Nihal V. Nayak, Ghulam Murtaza, Stephen H. Bach, Carsten Eickhoff, Ritambhara Singh |
| 2025 | NAACL | Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages. | Max Zuo, Francisco Piedrahita Velez, Xiaochen Li, Michael Littman, Stephen H. Bach |
| 2024 | ACL | Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation. | Nihal V. Nayak, Yiyang Nan, Avi Trost, Stephen H. Bach |
| 2024 | EACL | Does CLIP Bind Concepts? Probing Compositionality in Large Image Models. | Martha Lewis, Nihal V. Nayak, Peilin Yu, Jack Merullo, Qinan Yu, Stephen H. Bach, Ellie Pavlick |
| 2024 | EMNLP | If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions. | Reza Esfandiarpoor, Cristina Menghini, Stephen H. Bach |
| 2024 | EMNLP | Preference Tuning For Toxicity Mitigation Generalizes Across Languages. | Xiaochen Li, Zheng Xin Yong, Stephen H. Bach |
| 2024 | EMNLP | LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons. | Zheng Xin Yong, Cristina Menghini, Stephen H. Bach |
| 2024 | ICLR | Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification. | Reza Esfandiarpoor, Stephen H. Bach |
| 2023 | ACL | Alfred: A System for Prompted Weak Supervision. | Peilin Yu, Stephen H. Bach |
| 2023 | ICLR | Learning to Compose Soft Prompts for Compositional Zero-Shot Learning. | Nihal V. Nayak, Peilin Yu, Stephen H. Bach |
| 2022 | ACL | PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. | Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Fvry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush |
| 2022 | AIES | Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. | Jessica Dai, Sohini Upadhyay, Ulrich Avodji, Stephen H. Bach, Himabindu Lakkaraju |
| 2022 | AISTATS | Learning from Multiple Noisy Partial Labelers. | Peilin Yu, Tiffany Ding, Stephen H. Bach |
| 2022 | ICLR | Multitask Prompted Training Enables Zero-Shot Task Generalization. | Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fvry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush |
| 2021 | AISTATS | Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees. | Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen H. Bach |
| 2021 | ICML | Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees. | Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H. Bach, Eli Upfal |
| 2020 | AAAI | Weakly Supervised Sequence Tagging from Noisy Rules. | Esteban Safranchik, Shiying Luo, Stephen H. Bach |
| 2020 | CVPR | Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels. | Elaheh Raisi, Stephen H. Bach |
| 2019 | SIGMOD | Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. | Stephen H. Bach, Daniel Rodriguez, Yintao Liu, Chong Luo, Haidong Shao, Cassandra Xia, Souvik Sen, Alexander Ratner, Braden Hancock, Houman Alborzi, Rahul Kuchhal, Christopher R, Rob Malkin |
| 2017 | CIDR | Snorkel: A System for Lightweight Extraction. | Alexander Ratner, Stephen H. Bach, Henry R. Ehrenberg, Jason Alan Fries, Sen Wu, Christopher R |
| 2017 | ICML | Learning the Structure of Generative Models without Labeled Data. | Stephen H. Bach, Bryan Dawei He, Alexander Ratner, Christopher R |
| 2017 | SIGMOD | Snorkel: Fast Training Set Generation for Information Extraction. | Alexander J. Ratner, Stephen H. Bach, Henry R. Ehrenberg, Christopher R |
| 2016 | KDD | Interpretable Decision Sets: A Joint Framework for Description and Prediction. | Himabindu Lakkaraju, Stephen H. Bach, Jure Leskovec |
| 2015 | AISTATS | Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. | Stephen H. Bach, Bert Huang, Lise Getoor |
| 2015 | ICML | Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. | Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor |
| 2015 | ILP | Statistical Relational Learning with Soft Quantifiers. | Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock |
| 2014 | AAAI | Extending PSL with Fuzzy Quantifiers. | Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock |
| 2013 | CVPR | Collective Activity Detection Using Hinge-loss Markov Random Fields. | Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis |
| 2013 | UAI | Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. | Stephen H. Bach, Bert Huang, Ben London, Lise Getoor |
| 2008 | ICDM | Paired Learners for Concept Drift. | Stephen H. Bach, Marcus A. Maloof |