Approximating CKY with Transformers. - Ghazal Khalighinejad; Ollie Liu; Sam Wiseman (EMNLP (Findings), 2023)

How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. - Michael Hanna 001; Ollie Liu; Alexandre Variengien (NeurIPS, 2023)

Interpretable Diffusion via Information Decomposition. - Xianghao Kong; Ollie Liu; Han Li; Dani Yogatama; Greg Ver Steeg (ICLR, 2024)

On Retrieval Augmentation and the Limitations of Language Model Training. - Ting-Rui Chiang; Xinyan Yu 001; Joshua Robinson; Ollie Liu; Isabelle Lee; Dani Yogatama (NAACL (Short Papers), 2024)

DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. - Ollie Liu; Deqing Fu; Dani Yogatama; Willie Neiswanger (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)

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 001; Xintong Wang; Yongfeng Zhang (CoRR, 2024)

Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions. - Jiarui Zhang 002; Ollie Liu; Tianyu Yu; Jinyi Hu; Willie Neiswanger (CoRR, 2024)

DeLLMa: Decision Making Under Uncertainty with Large Language Models. - Ollie Liu; Deqing Fu; Dani Yogatama; Willie Neiswanger (ICLR, 2025)

MatViX: Multimodal Information Extraction from Visually Rich Articles. - Ghazal Khalighinejad; Sharon Scott; Ollie Liu; Kelly L. Anderson; Rickard Stureborg; Aman Tyagi; Bhuwan Dhingra (NAACL (Long Papers), 2025)

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring. - Ollie Liu; Sami Jaghouar; Johannes Hagemann; Shangshang Wang; Jason Wiemels; Jeff Kaufman; Willie Neiswanger (CoRR, 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; et al. (CoRR, 2025)

Tina: Tiny Reasoning Models via LoRA. - Shangshang Wang; Julian Asilis; Ömer Faruk Akgül; Enes Burak Bilgin; Ollie Liu; Willie Neiswanger (CoRR, 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, 2025)

Resa: Transparent Reasoning Models via SAEs. - Shangshang Wang; Julian Asilis; Ömer Faruk Akgül; Enes Burak Bilgin; Ollie Liu; Deqing Fu; Willie Neiswanger (CoRR, 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; et al. (CoRR, 2025)

LLM Unlearning Without an Expert Curated Dataset. - Xiaoyuan Zhu; Muru Zhang; Ollie Liu; Robin Jia; Willie Neiswanger (CoRR, 2025)