Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024
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An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- 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
On the generalization capacity of neural networks during generic multimodal reasoning
- Taku Ito
- Soham Dan
- et al.
- 2024
- ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- Ming Jin
- Shiyu Wang
- et al.
- 2024
- ICLR 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark
- Hsi-ai Tsao
- Lei Hsiung
- et al.
- 2024
- ICLR 2024
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- Asaf Yehudai
- Boaz Carmeli
- et al.
- 2024
- ICLR 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
- Yuchen Hu
- Chen Chen
- et al.
- 2024
- ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- Xiangyu Qi
- Yi Zeng
- et al.
- 2024
- ICLR 2024