tinyBenchmarks: evaluating LLMs with fewer examples
- Felipe Maia Polo
- Lucas Weber
- et al.
- 2024
- ICML 2024
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- Foundation Models
604 results for Foundation Models
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
Asymmetry in Low-Rank Adapters of Foundation Models
- Jiacheng Zhu
- Kristjan Greenewald
- et al.
- 2024
- ICML 2024
Risk Aware Benchmarking of Large Language Models
- Apoorva Nitsure
- Youssef Mroueh
- et al.
- 2024
- ICML 2024
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
- Chen-chia Chang
- Yikang Shen
- et al.
- 2024
- ICML 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- Hongkang Li
- Meng Wang
- et al.
- 2024
- ICML 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- Yihua Zhang
- Pingzhi Li
- et al.
- 2024
- ICML 2024
Data Engineering for Scaling Language Models to 128K Context
- Yao Fu
- Rameswar Panda
- et al.
- 2024
- ICML 2024
Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing ready ?
- Apoorve Mohan
- Mengmei Ye
- et al.
- 2024
- CLOUD 2024