Unveiling LLM Mechanisms Through Neural ODEs and Control Theory

23 June 2024

Yukun Zhang

Qi Dong

Papers citing "Unveiling LLM Mechanisms Through Neural ODEs and Control Theory"

22 / 22 papers shown

Title
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions Cong Wang Aoming Liang Fei Han Xinyu Zeng Zhibin Li Dixia Fan Jens Kober AI4CE 73 2 0 01 Oct 2024
Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra Darioush Kevian U. Syed Xing-ming Guo Aaron J. Havens Geir Dullerud Peter M. Seiler Lianhui Qin Bin Hu ELM 61 32 0 04 Apr 2024
SelfIE: Self-Interpretation of Large Language Model Embeddings Haozhe Chen Carl Vondrick Chengzhi Mao 49 25 0 16 Mar 2024
Unification of Symmetries Inside Neural Networks: Transformer, Feedforward and Neural ODE Koji Hashimoto Yuji Hirono Akiyoshi Sannai AI4CE 65 7 0 04 Feb 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 106 70 0 30 Jan 2024
Function Vectors in Large Language Models Eric Todd Millicent Li Arnab Sen Sharma Aaron Mueller Byron C. Wallace David Bau 48 114 0 23 Oct 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations Shiyuan Huang Siddarth Mamidanna Shreedhar Jangam Yilun Zhou Leilani H. Gilpin LRM MILM ELM 78 74 0 17 Oct 2023
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model Zhenhua Xu Yujia Zhang Enze Xie Zhen Zhao Yong Guo Kwan-Yee. K. Wong Zhenguo Li Hengshuang Zhao MLLM 67 290 0 02 Oct 2023
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan RALM LRM 87 228 0 02 Oct 2023
Sequential Integrated Gradients: a simple but effective method for explaining language models Joseph Enguehard 37 41 0 25 May 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang Artemis Panagopoulou Shenghao Zhou Daniel Jin Chris Callison-Burch Mark Yatskar 101 226 0 21 Nov 2022
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Kevin Wang Alexandre Variengien Arthur Conmy Buck Shlegeris Jacob Steinhardt 292 553 0 01 Nov 2022
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning Antonia Creswell Murray Shanahan I. Higgins ReLM LRM 87 360 0 19 May 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 226 1,344 0 10 Feb 2022
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 713 41,894 0 28 May 2020
Longformer: The Long-Document Transformer Iz Beltagy Matthew E. Peters Arman Cohan RALM VLM 133 4,061 0 10 Apr 2020
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 77 257 0 08 Jul 2019
What do you learn from context? Probing for sentence structure in contextualized word representations Ian Tenney Patrick Xia Berlin Chen Alex Jinpeng Wang Adam Poliak ... Najoung Kim Benjamin Van Durme Samuel R. Bowman Dipanjan Das Ellie Pavlick 173 858 0 15 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 385 5,099 0 19 Jun 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,864 0 22 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,986 0 04 Mar 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 176 3,690 0 10 Jun 2016