Stephen Bach
24 papers · 2010–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (9)
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Conference Polyglot
(9)
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Academic Marathon
(15)
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Cross-Pollinator
(15)
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Grand Slam
π₯
Mega-Team
(43)
π§¬
Topic Evolution
π₯
Unstoppable
(6)
π
Century Club
(22)
β
The Questioner
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Trend Setter
ποΈ
Keyword Collector
(115)
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Prolific Year
(6)
Conferences
EMNLP (5)
NIPS (5)
AISTATS (3)
EACL (3)
ICLR (3)
ACL (2)
AAAI (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
probabilistic graphical model
(3)
zero-shot learning
(3)
vision-language model
(3)
structured prediction
(2)
named entity recognition
(2)
markov random field
(2)
weak supervision
(2)
instruction tuning
(2)
map inference
(2)
weakly supervised learning
(2)
synthetic data generation
(2)
semi-supervised learning
(2)
information retrieval
(2)
graphical model
(2)
domain adaptation
(1)
transfer learning
(1)
reinforcement learning
(1)
variational inference
(1)
probabilistic modeling
(1)
Papers
Trove: A Flexible Toolkit for Dense Retrieval
EACL 2026
Revisiting Generalization Across Difficulty Levels: Itβs Not So Easy
EACL 2026
An Adaptive Method for Weak Supervision with Drifting Data
AISTATS 2025
Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages
NAACL 2025
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
EMNLP 2025
The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It
EMNLP 2025
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
EMNLP 2024
Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation
ACL 2024
Does CLIP Bind Concepts? Probing Compositionality in Large Image Models
EACL 2024
Preference Tuning For Toxicity Mitigation Generalizes Across Languages
EMNLP 2024
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
EMNLP 2024
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
ICLR 2024
Alfred: A System for Prompted Weak Supervision
ACL 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
NIPS 2023
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
ICLR 2023
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
NIPS 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
ICLR 2022
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
NIPS 2022
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
AISTATS 2021
Weakly Supervised Sequence Tagging from Noisy Rules
AAAI 2020
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
ICML 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees
AISTATS 2015
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
NIPS 2012
A Bayesian Approach to Concept Drift
NIPS 2010