DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
- Ella Neeman
- Roee Aharoni
- et al.
- 2023
- ACL 2023
Publications
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- Machine Learning
1355 results for Machine Learning
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
- Arie Cattan
- Lilach Eden
- et al.
- 2023
- ACL 2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
- Tianshu Zhang
- Changchang Liu
- et al.
- 2023
- ACL 2023
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
- Zijie Wang
- Evan Montoya
- et al.
- 2023
- ACL 2023
FedGen: Generalizable Federated Learning for Sequential Data
- Praveen Venkateswaran
- Vatche Isahagian
- et al.
- 2023
- CLOUD 2023
Single-shot General Hyper-parameter Optimization for Federated Learning
- Yi Zhou
- Parikshit Ram
- et al.
- 2023
- ICLR 2023
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning
- Alex Gu
- Songtao Lu
- et al.
- 2023
- ICLR 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
- Yihua Zhang
- Pranay Sharma
- et al.
- 2023
- ICLR 2023
Understanding new tasks through the lens of training data via exponential tilting
- Subha Maity
- Mikhail Yurochkin
- et al.
- 2023
- ICLR 2023
Sampling with Mollified Interaction Energy Descent
- Lingxiao Li
- Qiang Liu
- et al.
- 2023
- ICLR 2023