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ORCIDOllie Liu
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2020 – today
- 2025
[c6]Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger:
DeLLMa: Decision Making Under Uncertainty with Large Language Models. ICLR 2025- [c5]Ghazal Khalighinejad, Sharon Scott, Ollie Liu, Kelly L. Anderson, Rickard Stureborg, Aman Tyagi, Bhuwan Dhingra:
MatViX: Multimodal Information Extraction from Visually Rich Articles. NAACL (Long Papers) 2025: 3636-3655 - [i16]Ollie Liu, Sami Jaghouar, Johannes Hagemann, Shangshang Wang, Jason Wiemels, Jeff Kaufman
, Willie Neiswanger:
METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring. CoRR abs/2501.02045 (2025) - [i15]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:
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. CoRR abs/2504.01990 (2025) - [i14]Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Willie Neiswanger:
Tina: Tiny Reasoning Models via LoRA. CoRR abs/2504.15777 (2025) - [i13]Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Dani Yogatama, Vatsal Sharan, Robin Jia, Willie Neiswanger:
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. CoRR abs/2505.14071 (2025) - [i12]Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Deqing Fu, Willie Neiswanger:
Resa: Transparent Reasoning Models via SAEs. CoRR abs/2506.09967 (2025) - [i11]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:
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning. CoRR abs/2507.16746 (2025) - [i10]Xiaoyuan Zhu, Muru Zhang, Ollie Liu, Robin Jia, Willie Neiswanger:
LLM Unlearning Without an Expert Curated Dataset. CoRR abs/2508.06595 (2025) - 2024
- [c4]Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg:
Interpretable Diffusion via Information Decomposition. ICLR 2024 - [c3]Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama:
On Retrieval Augmentation and the Limitations of Language Model Training. NAACL (Short Papers) 2024: 229-238 - [i9]Ollie Liu, Deqing Fu, Dani Yogatama, Willie Neiswanger:
DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. CoRR abs/2402.02392 (2024) - [i8]Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger:
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. CoRR abs/2404.01266 (2024) - [i7]Ghazal Khalighinejad, Sharon Scott, Ollie Liu, Kelly L. Anderson, Rickard Stureborg, Aman Tyagi, Bhuwan Dhingra:
MatViX: Multimodal Information Extraction from Visually Rich Articles. CoRR abs/2410.20494 (2024) - [i6]Wenyue Hua, Ollie Liu, Lingyao Li, Alfonso Amayuelas, Julie Chen, Lucas Jiang, Mingyu Jin, Lizhou Fan, Fei Sun, William Wang, Xintong Wang, Yongfeng Zhang:
Game-theoretic LLM: Agent Workflow for Negotiation Games. CoRR abs/2411.05990 (2024) - [i5]Jiarui Zhang, Ollie Liu, Tianyu Yu, Jinyi Hu, Willie Neiswanger:
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions. CoRR abs/2412.08737 (2024) - 2023
- [c2]Ghazal Khalighinejad, Ollie Liu, Sam Wiseman:
Approximating CKY with Transformers. EMNLP (Findings) 2023: 14016-14030 - [c1]Michael Hanna, Ollie Liu, Alexandre Variengien:
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. NeurIPS 2023 - [i4]Michael Hanna, Ollie Liu, Alexandre Variengien:
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. CoRR abs/2305.00586 (2023) - [i3]Ghazal Khalighinejad, Ollie Liu, Sam Wiseman:
Approximating CKY with Transformers. CoRR abs/2305.02386 (2023) - [i2]Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg:
Interpretable Diffusion via Information Decomposition. CoRR abs/2310.07972 (2023) - [i1]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 abs/2311.09615 (2023)
Coauthor Index
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