Publications

63 results for Mikhail Yurochkin

Prompt Exploration with Prompt Regression
- - Michael Feffer
  - Ronald Xu
  - et al.
- 2024
- COLM 2024
Large Language Model Routing with Benchmark Datasets
- - Tal Shnitzer
  - Anthony Ou
  - et al.
- 2024
- COLM 2024
Risk Aware Benchmarking of Large Language Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2024
- ICML 2024
Asymmetry in Low-Rank Adapters of Foundation Models
- - Jiacheng Zhu
  - Kristjan Greenewald
  - et al.
- 2024
- ICML 2024
tinyBenchmarks: evaluating LLMs with fewer examples
- - Felipe Maia Polo
  - Lucas Weber
  - et al.
- 2024
- ICML 2024
CharED: Character-wise Ensemble Decoding for Large Language Models
- - Kevin Gu
  - Eva Tuecke
  - et al.
- 2024
- ICML 2024
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Fusing Models with Complementary Expertise
- - Hongyi Wang
  - Felipe Maia Polo
  - et al.
- 2024
- ICLR 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Aligners: Decoupling LLMs and Alignment
- - Lilian Ngweta
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024