Ollie Liu

According to our database, Ollie Liu authored at least 20 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models.

Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Vatsal Sharan, Robin Jia, Willie Neiswanger

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Universal Spectral Tokenization via Self-Supervised Panchromatic Representation Learning.

Jeff Shen, François Lanusse, Liam Holden Parker, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Nathan Cassereau, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Bruno Régaldo-Saint Blancard, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

CoRR, October, 2025

LLM Unlearning Without an Expert Curated Dataset.

Xiaoyuan Zhu, Muru Zhang, Ollie Liu, Robin Jia, Willie Neiswanger

CoRR, August, 2025

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning.

Ang Li, Charles Wang, Kaiyu Yue, Zikui Cai, Ollie Liu, Deqing Fu, Peng Guo, Wang Bill Zhu, Vatsal Sharan, Robin Jia, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum

CoRR, July, 2025

Resa: Transparent Reasoning Models via SAEs.

Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Deqing Fu, Willie Neiswanger

CoRR, June, 2025

Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models.

Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Dani Yogatama, Vatsal Sharan, Robin Jia, Willie Neiswanger

CoRR, May, 2025

Tina: Tiny Reasoning Models via LoRA.

Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Willie Neiswanger

CoRR, April, 2025

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian T. Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring.

Ollie Liu, Sami Jaghouar, Johannes Hagemann, Shangshang Wang, Jason Wiemels, Jeff Kaufman, Willie Neiswanger

CoRR, January, 2025

AION-1: Omnimodal Foundation Model for Astronomical Sciences.

Liam Holden Parker, François Lanusse, Jeff Shen, Ollie Liu, Tom Hehir, Leopoldo Sarra, Lucas Meyer, Micah Bowles, Sebastian Wagner-Carena, Helen Qu, Siavash Golkar, Alberto Bietti, Hatim Bourfoune, Pierre Cornette, Keiya Hirashima, Géraud Krawezik, Ruben Ohana, Nicholas Lourie, Michael McCabe, Rudy Morel, Payel Mukhopadhyay, Mariel Pettee, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MatViX: Multimodal Information Extraction from Visually Rich Articles.

Ghazal Khalighinejad, Sharon Scott, Ollie Liu, Kelly L. Anderson, Rickard Stureborg, Aman Tyagi, Bhuwan Dhingra

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

DeLLMa: Decision Making Under Uncertainty with Large Language Models.

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions.

Jiarui Zhang, Ollie Liu, Tianyu Yu, Jinyi Hu, Willie Neiswanger

CoRR, 2024

Game-theoretic LLM: Agent Workflow for Negotiation Games.

Wenyue Hua, Ollie Liu, Lingyao Li, Alfonso Amayuelas, Julie Chen, Lucas Jiang, Mingyu Jin, Lizhou Fan, Fei Sun, William Wang, Xintong Wang, Yongfeng Zhang

CoRR, 2024

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations.

Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger

CoRR, 2024

DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models.

Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger

CoRR, 2024

On Retrieval Augmentation and the Limitations of Language Model Training.

Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Interpretable Diffusion via Information Decomposition.

Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model.

Michael Hanna, Ollie Liu, Alexandre Variengien

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Approximating CKY with Transformers.

Ghazal Khalighinejad, Ollie Liu, Sam Wiseman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023