Ollie Liu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 9

Top Topics

Web Page Retrieval

Probabilistic Retrieval Models

Trec Test Collections

Top Venues

EMNLP (Findings)

Publications

Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg
Interpretable Diffusion via Information Decomposition. ICLR (2024)
Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger
DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. CoRR (2024)
Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. CoRR (2024)
Ting-Rui Chiang, Xinyan Velocity Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama
On Retrieval Augmentation and the Limitations of Language Model Training. CoRR (2023)
Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg
Interpretable Diffusion via Information Decomposition. CoRR (2023)
Ghazal Khalighinejad, Ollie Liu, Sam Wiseman
Approximating CKY with Transformers. EMNLP (Findings) (2023)
Michael Hanna, Ollie Liu, Alexandre Variengien
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. CoRR (2023)
Ghazal Khalighinejad, Ollie Liu, Sam Wiseman
Approximating CKY with Transformers. CoRR (2023)
Michael Hanna, Ollie Liu, Alexandre Variengien
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. NeurIPS (2023)