Distributional Preference Alignment of LLMs via Optimal Transport
- Igor Melnyk
- Youssef Mroueh
- et al.
- 2024
- NeurIPS 2024
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Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- Gabriel Rioux
- Apoorva Nitsure
- et al.
- 2024
- NeurIPS 2024
- Topic
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
RELIC: Investigating Large Language Model Responses using Self-Consistency
- Furui Cheng
- Vilém Zouhar
- et al.
- 2024
- CHI 2024
Unraveling the Key Components of OOD Generalization via Diversification
- Harold Benoit
- Liangze Jiang
- et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
Fairness-Aware Structured Pruning in Transformers
- Abdelrahman Zayed
- Gonçalo Mordido
- et al.
- 2024
- AAAI 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
- Naiyu Yin
- Tian Gao
- et al.
- 2024
- AAAI 2024
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
- Nicolas Deutschmann
- Marvin Alberts
- et al.
- 2024
- AAAI 2024