SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution
- Prerna Agarwal
- Nishant Kumar
- et al.
- 2024
- ACL 2024
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1239 results in 2024
Thermometer: Towards Universal Calibration for Large Language Models
- Maohao Shen
- Subhro Das
- et al.
- 2024
- ICML 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
- Marten Van Dijk
- Nhuong Nguyen
- et al.
- 2024
- ICML 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
tinyBenchmarks: evaluating LLMs with fewer examples
- Felipe Maia Polo
- Lucas Weber
- et al.
- 2024
- ICML 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
- Amit Dhurandhar
- Swagatam Haldar
- et al.
- 2024
- ICML 2024
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
Representing Molecules as Random Walks Over Interpretable Grammars
- Michael Sun
- Minghao Guo
- et al.
- 2024
- ICML 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
- Mohammed Nowaz Rabbani Chowdhury
- Meng Wang
- et al.
- 2024
- ICML 2024
BRAIn: Bayesian Reward-conditioned Amortized INference for natural language generation from feedback
- Gaurav Pandey
- Yatin Nandwani
- et al.
- 2024
- ICML 2024