LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models

17 May 2025

Papers citing "LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models"

21 / 21 papers shown

Title
HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns Xinyue Shen Yixin Wu Y. Qu Michael Backes Savvas Zannettou Yang Zhang 69 4 0 28 Jan 2025
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models Bang An Sicheng Zhu Ruiyi Zhang Michael-Andrei Panaitescu-Liess Yuancheng Xu Furong Huang AAML 71 15 0 01 Sep 2024
On the Origins of Linear Representations in Large Language Models Yibo Jiang Goutham Rajendran Pradeep Ravikumar Bryon Aragam Victor Veitch 76 29 0 06 Mar 2024
On Measuring Faithfulness or Self-consistency of Natural Language Explanations Letitia Parcalabescu Anette Frank LRM 84 24 0 13 Nov 2023
The Linear Representation Hypothesis and the Geometry of Large Language Models Kiho Park Yo Joong Choe Victor Veitch LLMSV MILM 80 162 0 07 Nov 2023
Quantifying Uncertainty in Natural Language Explanations of Large Language Models Sree Harsha Tanneru Chirag Agarwal Himabindu Lakkaraju LRM 41 14 0 06 Nov 2023
Linear Representations of Sentiment in Large Language Models Curt Tigges Oskar John Hollinsworth Atticus Geiger Neel Nanda MILM 19 85 0 23 Oct 2023
The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets Samuel Marks Max Tegmark HILM 112 199 0 10 Oct 2023
Emergent Linear Representations in World Models of Self-Supervised Sequence Models Neel Nanda Andrew Lee Martin Wattenberg FAtt MILM 66 165 0 02 Sep 2023
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness Jiuhai Chen Jonas W. Mueller 72 63 0 30 Aug 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models Maciej Besta Nils Blach Aleš Kubíček Robert Gerstenberger Michal Podstawski ... Joanna Gajda Tomasz Lehmann H. Niewiadomski Piotr Nyczyk Torsten Hoefler LRM AI4CE LM&Ro 83 654 0 18 Aug 2023
Tree of Thoughts: Deliberate Problem Solving with Large Language Models Shunyu Yao Dian Yu Jeffrey Zhao Izhak Shafran Thomas Griffiths Yuan Cao Karthik Narasimhan LM&Ro LRM AI4CE 106 1,850 0 17 May 2023
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting Miles Turpin Julian Michael Ethan Perez Sam Bowman ReLM LRM 63 414 0 07 May 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 471 3,486 0 21 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 114 1,438 0 25 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 572 9,009 0 28 Jan 2022
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 84 361 0 02 Sep 2021
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? Alon Jacovi Yoav Goldberg XAI 68 588 0 07 Apr 2020
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 538 21,613 0 22 May 2017
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 87 809 0 13 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 582 16,828 0 16 Feb 2016