Hessian Reparametrization for Coarse-grained Energy Minimization
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- ICLR 2024
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49 results at ICLR 2024
On Trajectory Augmentations for Off-Policy Evaluation
- Ge Gao
- Qitong Gao
- et al.
- 2024
- ICLR 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- Yu-Lin Tsai
- Chia-yi Hsu
- et al.
- 2024
- ICLR 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024
Curiosity-driven Red-teaming for Large Language Models
- Zhang-wei Hong
- Idan Shenfeld
- et al.
- 2024
- ICLR 2024
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- Marcus Min
- Robin (Yangruibo) Ding
- et al.
- 2024
- ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- Ming Jin
- Shiyu Wang
- et al.
- 2024
- ICLR 2024
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- Asaf Yehudai
- Boaz Carmeli
- et al.
- 2024
- ICLR 2024