LLM-Powered Preference Elicitation in Combinatorial Assignment

LLM-Powered Preference Elicitation in Combinatorial Assignment

14 February 2025

Ermis Soumalias

Michael J. Curry

David C. Parkes

Papers citing "LLM-Powered Preference Elicitation in Combinatorial Assignment"

17 / 17 papers shown

Title
Charting the Shapes of Stories with Game Theory C. Daskalakis I. Gemp Yanchen Jiang Renato Paes Leme Christos H. Papadimitriou Georgios Piliouras 70 2 0 07 Dec 2024
Generative Agent Simulations of 1,000 People Joon Sung Park Carolyn Q. Zou Aaron Shaw Benjamin Mako Hill Carrie J. Cai Meredith Ringel Morris Robb Willer Percy Liang Michael S. Bernstein SyDa VGen LM&Ro AI4CE 50 98 0 15 Nov 2024
Evaluation of OpenAI o1: Opportunities and Challenges of AGI Tianyang Zhong Zhengliang Liu Yi Pan Yutong Zhang Yifan Zhou ... Dinggang Shen Andrea Sikora Xiaoming Zhai Dajiang Zhu Tianming Liu ReLM LRM AI4CE ELM VLM 63 93 0 27 Sep 2024
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning Tonghan Wang Yanchen Jiang David C. Parkes 72 8 0 11 Jun 2024
Truthful Aggregation of LLMs with an Application to Online Advertising Ermis Soumalias Michael J. Curry Sven Seuken 76 14 0 09 May 2024
Efficient Exploration for LLMs Vikranth Dwaracherla S. Asghari Botao Hao Benjamin Van Roy LLMAG 58 22 0 01 Feb 2024
Data Market Design through Deep Learning S. Ravindranath Yanchen Jiang David C. Parkes 40 8 0 31 Oct 2023
Machine Learning-Powered Combinatorial Clock Auction Ermis Soumalias Jakob Weissteiner Jakob Heiss Sven Seuken 30 2 0 20 Aug 2023
Machine Learning-Powered Course Allocation Ermis Soumalias Behnoosh Zamanlooy Jakob Weissteiner Sven Seuken 45 8 0 03 Oct 2022
Bayesian Optimization-based Combinatorial Assignment Jakob Weissteiner Jakob Heiss Julien N. Siems Sven Seuken 52 11 0 31 Aug 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 775 9,351 0 28 Jan 2022
Deep Learning for Two-Sided Matching S. Ravindranath Zhe Feng Shira Li Jonathan Ma S. Kominers David C. Parkes 66 22 0 07 Jul 2021
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning Kevin Kuo Anthony Ostuni Elizabeth Horishny Michael J. Curry Samuel Dooley Ping Yeh-Chiang Tom Goldstein John P. Dickerson 36 25 0 13 Oct 2020
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 78 2,602 0 20 May 2018
Optimal Auctions through Deep Learning: Advances in Differentiable Economics Paul Dutting Zhe Feng Harikrishna Narasimhan David C. Parkes S. Ravindranath 40 34 0 12 Jun 2017
Making Risk Minimization Tolerant to Label Noise Aritra Ghosh Naresh Manwani P. Sastry NoLa 143 214 0 14 Mar 2014
Learning Valuation Functions Maria-Florina Balcan Florin Constantin S. Iwata Lei Wang 87 63 0 29 Aug 2011