Revisiting Rogers' Paradox in the Context of Human-AI Interaction

16 January 2025

Papers citing "Revisiting Rogers' Paradox in the Context of Human-AI Interaction"

43 / 43 papers shown

Title
On the clustering behavior of sliding windows Boris Alexeev Wenyan Luo Dustin G. Mixon Yan X Zhang AI4TS 145 1 0 18 Mar 2025
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Charlie Snell Jaehoon Lee Kelvin Xu Aviral Kumar LRM 248 702 0 06 Aug 2024
Building Machines that Learn and Think with People Katherine M. Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra Lionel Wong ... Mark K. Ho Vikash K. Mansinghka Adrian Weller Joshua B. Tenenbaum Thomas Griffiths 133 39 0 22 Jul 2024
Modulating Language Model Experiences through Frictions Katherine M. Collins Valerie Chen Ilia Sucholutsky Hannah Rose Kirk Malak Sadek Holli Sargeant Ameet Talwalkar Adrian Weller Umang Bhatt KELM 118 5 0 24 Jun 2024
Large Language Models Assume People are More Rational than We Really are Ryan Liu Jiayi Geng Joshua C. Peterson Ilia Sucholutsky Thomas Griffiths 162 20 0 24 Jun 2024
Evaluating the World Model Implicit in a Generative Model Keyon Vafa Justin Y. Chen Jon M. Kleinberg S. Mullainathan Ashesh Rambachan 166 41 0 06 Jun 2024
Representational Alignment Supports Effective Machine Teaching Ilia Sucholutsky Katherine M. Collins Maya Malaviya Nori Jacoby Weiyang Liu ... J. Tenenbaum Brad Love Z. Pardos Adrian Weller Thomas Griffiths 127 4 0 06 Jun 2024
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function Keyon Vafa Ashesh Rambachan S. Mullainathan ELM ALM 80 17 0 03 Jun 2024
Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models Anna A. Ivanova Aalok Sathe Benjamin Lipkin Unnathi Kumar S. Radkani ... Leshem Choshen Roger Levy Evelina Fedorenko Josh Tenenbaum Jacob Andreas 82 28 0 15 May 2024
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems David Dalrymple Joar Skalse Yoshua Bengio Stuart J. Russell Max Tegmark ... Clark Barrett Ding Zhao Zhi-Xuan Tan Jeannette Wing Joshua Tenenbaum 132 62 0 10 May 2024
Simple and Scalable Strategies to Continually Pre-train Large Language Models Adam Ibrahim Benjamin Thérien Kshitij Gupta Mats L. Richter Quentin Anthony Timothée Lesort Eugene Belilovsky Irina Rish KELM CLL 109 63 0 13 Mar 2024
When Should Algorithms Resign? A Proposal for AI Governance Umang Bhatt Holli Sargeant 82 1 0 28 Feb 2024
A Decision Theoretic Framework for Measuring AI Reliance Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman 96 18 0 27 Jan 2024
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making Zhuoyan Li Zhuoran Lu Ming Yin 57 14 0 11 Jan 2024
From task structures to world models: What do LLMs know? ilker. yildirim L. A. Paul 85 56 0 06 Oct 2023
Language Models Represent Space and Time Wes Gurnee Max Tegmark 137 168 0 03 Oct 2023
Gender bias and stereotypes in Large Language Models Hadas Kotek Rikker Dockum David Q. Sun 125 252 0 28 Aug 2023
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations A. Salinas Parth Vipul Shah Yuzhong Huang Robert McCormack Fred Morstatter 108 41 0 03 Aug 2023
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought L. Wong Gabriel Grand Alexander K. Lew Noah D. Goodman Vikash K. Mansinghka Jacob Andreas J. Tenenbaum LRM AI4CE 87 107 0 22 Jun 2023
Accuracy-Time Tradeoffs in AI-Assisted Decision Making under Time Pressure S. Swaroop Zana Buçinca Krzysztof Z. Gajos Finale Doshi-Velez 92 15 0 12 Jun 2023
Evaluating Language Models for Mathematics through Interactions Katherine M. Collins Albert Q. Jiang Simon Frieder L. Wong Miri Zilka ... William Hart T. Gowers Wen-Ding Li Adrian Weller M. Jamnik 92 61 0 02 Jun 2023
Reasoning with Language Model is Planning with World Model Shibo Hao Yi Gu Haodi Ma Joshua Jiahua Hong Zhen Wang D. Wang Zhiting Hu ReLM LRM LLMAG 170 604 0 24 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 224 11 0 13 Apr 2023
Human Uncertainty in Concept-Based AI Systems Katherine M. Collins Matthew Barker M. Zarlenga Naveen Raman Umang Bhatt M. Jamnik Ilia Sucholutsky Adrian Weller Krishnamurthy Dvijotham 113 41 0 22 Mar 2023
Data-centric Artificial Intelligence: A Survey Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Zhimeng Jiang Shaochen Zhong Helen Zhou 121 215 0 17 Mar 2023
Language Models as Agent Models Jacob Andreas LLMAG 90 141 0 03 Dec 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas Griffiths 96 13 0 02 Nov 2022
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task Kenneth Li Aspen K. Hopkins David Bau Fernanda Viégas Hanspeter Pfister Martin Wattenberg MILM 182 297 0 24 Oct 2022
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 159 223 0 14 Oct 2022
Explanations as Programs in Probabilistic Logic Programming G. Vidal LRM 68 2 0 06 Oct 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 88 47 0 02 Jul 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 1.0K 13,289 0 04 Mar 2022
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 91 411 0 12 Jan 2021
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 146 324 0 25 Dec 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 141 252 0 15 Nov 2020
Understanding Human Intelligence through Human Limitations Thomas Griffiths 97 70 0 29 Sep 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 91 205 0 02 Jun 2020
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 116 119 0 22 Jul 2019
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai ... D. Kumaran T. Graepel Timothy Lillicrap Karen Simonyan Demis Hassabis 234 1,786 0 05 Dec 2017
Grounded Language Learning in a Simulated 3D World Karl Moritz Hermann Felix Hill Simon Green Fumin Wang Ryan Faulkner ... Denis Teplyashin Marcus Wainwright C. Apps Demis Hassabis Phil Blunsom LM&Ro 109 306 0 20 Jun 2017
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 230 3,388 0 12 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 455 3,834 0 28 Feb 2017
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 369 19,810 0 09 Mar 2015