Comparing Human and LLM Ratings of Music-Recommendation Quality with User Context
Sherol Chen, Yuri Vasilevski, Andrew Kyle Lampinen, Amnah Ahmad, Ndaba Ndebele, Sally Goldman, Michael Curtis Mozer, Jie Ren
Empowering Neural Networks with Control and Planning Abilities
Shuyuan Wang, Philip D Loewen, Bhushan Gopaluni, Michael Forbes
A New Approach to Generate Individual Level Data of Walled Garden Platforms: Linear Programming Reconstruction
Yifei Pang, Sreenidhi Ganachari, Yuan Yuan, Steven Wu, Xiaojing Dong, Jin Xu, Zhenyu Yan
LLM to Bridge Human Instructions with a Dynamic Symbolic Representation in Hierarchical Reinforcement Learning
Sao Mai Nguyen, Mehdi Zadem, Zihe Ji
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
Investigating Same-Different Concept Understanding in Generative Multimodal Models
Sunayana Rane, Declan Iain Campbell, Thomas L. Griffiths
Towards Deliberating Agents: Evaluating the Ability of Large Language Models to Deliberate
Arjun Karanam, Farnaz Jahanbakhsh, Sanmi Koyejo
Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?
Ivan Zakazov, Mikolaj Boronski, Lorenzo Drudi, Robert West
Multimodal Integration in Audio-Visual Speech Recognition --- How Far Are We From Human-Level Robustness?
Marianne Schweitzer, Anna Montagnini, Abdellah Fourtassi, Thomas Schatz
Principled probing of foundation models in the auditory modality
Etienne Bost, Mitsuko Aramaki, Richard Kronland-Martinet, Sølvi Ystad, Thierry Artières, Thomas Schatz
Behavioral Sequence Modeling with Ensemble Learning
Maxime Kawawa-Beaudan, Srijan Sood, Soham Palande, Ganapathy Mani, Tucker Balch, Manuela Veloso
Mitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration
Bingbing Wen, Chenjun Xu, Bin HAN, Robert Wolfe, Lucy Lu Wang, Bill Howe
Reassessing Number-Detector Units in Convolutional Neural Networks
Nhut Truong, Shahryar Noei, Alireza Karami
Generating and Validating Agent and Environment Code for Simulating Realistic Personality Profiles with Large Language Models
Nathan Cloos, M Ganesh Kumar, Adam Manoogian, Christopher J Cueva, Shawn A. Rhoads
Impact of a biomimetic training regimen based on early visual experience on neural network organization and behavior
Marin Vogelsang, Lukas Vogelsang, Gordon Pipa, Sidney Diamond, Pawan Sinha
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du, Natasha Jaques
Self-Attention Limits Working Memory Capacity of Transformer-Based Models
Dongyu Gong, Hantao Zhang
Designing Algorithmic Delegates
Sophie Greenwood, Karen Levy, Solon Barocas, Jon Kleinberg, Hoda Heidari
LLMs and Personalities: Inconsistencies Across Scales
Tosato Tommaso, Mahmood Hegazy, David Lemay, Mohammed Abukalam, Irina Rish, Guillaume Dumas
Unexploited Information Value in Human-AI Collaboration
Ziyang Guo, Yifan Wu, Jason Hartline, Jessica Hullman
What you say or how you say it? Predicting Conflict Outcomes in Real and LLM-Generated Conversations
Priya Ronald DCosta, Evan Rowbotham, Xinlan Emily Hu
ExpressivityArena: Can LLMs Express Information Implicitly?
Joshua Tint, Som Sagar, Aditya Taparia, Caleb Liu, Kelly Raines, Bimsara Pathiraja, Ransalu Senanayake
A Spatio-Temporal Flow Matching Framework for Pedestrian Trajectory Prediction
Hui Zhang, Gang Li, Zebin Guan, Jian Wu, Shuo Bu, Jinchuan Chai
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models
Grace Guo, Jenna Kang, Raj Sanjay Shah, Hanspeter Pfister, Sashank Varma
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
Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
Andrea Yaoyun Cui, Pengfei Yu
Principles of Animal Cognition for LLM Evaluations: A Case Study on Transitive Inference
Sunayana Rane, Cyrus Kirkman, Amanda Royka, Graham Todd, Ryan Law, Jacob Gates Foster, Erica Cartmill
pSAE-chiatry: Utilizing Sparse Autoencoders to Uncover Mental-Health-Related Features in Language Models
Declan Grabb
Helping People Predict Agent Behaviors by Operationalizing the Variation Theory of Learning
Tiffany Horter, Serena Booth, Vinitha Gadiraju
Accuracy Isn’t Everything: Understanding the Desiderata of AI Tools in Legal-Financial Settings
Sudhan Chitgopkar, Noah Dohrmann, Stephanie Monson, Jimmy Mendez, Finale Doshi-Velez, Weiwei Pan
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks
Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan V. Shah, Junjie Hu, Timothy T. Rogers
Words that work: Using language to generate hypotheses
Rafael M. Batista, James Ross
Outcome-Irrelevant and State-Independent Learning Mechanisms in Human Reinforcement Learning
Ido Ben-Artzi, Nitzan Shahar
Computational discovery of human reinforcement learning dynamics from choice behavior
Daniel Weinhardt, Maria K Eckstein, Sebastian Musslick
Superficial Alignment, Subtle Divergence, and Nudge Sensitivity in LLM Decision-Making
Manuel Cherep, Nikhil Singh, Patricia Maes
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI's Understanding of Algorithms
Mirabel Reid, Santosh Vempala
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
Taiwei Shi, Zhuoer Wang, Longqi Yang, Ying-Chun Lin, Zexue He, Mengting Wan, Pei Zhou, Sujay Kumar Jauhar, Xiaofeng Xu, Xia Song, Jennifer Neville
The Double-Edged Sword of Behavioral Responses in Strategic Classification
Raman Ebrahimi, Kristen Vaccaro, Parinaz Naghizadeh
Using LLMs to Model the Beliefs and Preferences of Targeted Populations
Keiichi Namikoshi, Alexandre Filipowicz, David Ayman Shamma, Rumen I Iliev, Candice L Hogan, Nikos Arechiga
Limitations in Planning Ability in AlphaZero
Daisy Xinlei Lin, Brenden Lake, Wei Ji Ma
HuLE-Nav: Human-Like Exploration for Zero-Shot Object Navigation via Vision-Language Models
Peilong Han, Min Zhang, Jianye HAO, Hongyao Tang, YAN ZHENG
Assessing Behavioral Alignment of Personality-Driven Generative Agents in Social Dilemma Games
Ritwik Bose, Mattson Ogg, Michael Wolmetz, Christopher Ratto
Rediscovering the Latent Dimensions of Personality with Large Language Models as Trait Descriptors
Joseph Suh, Suhong Moon, Minwoo Kang, David Chan
Deep and shallow thinking in a single forward pass
Jennifer Hu, Michael Franke
Towards Robust Estimation of Human Intention Hierarchy in Robot Teleoperation
Nikki Lijing Kuang, Songpo Li, Soshi Iba
A Behavioral Economics Approach to Principled Multi-Agent Reinforcement Learning
Eric Mazumdar, Kishan Panaganti, Laixi Shi
Attention Redistribution During Event Segmentation In Large Language Model
Yuyang Xu, Qingqing Yang
Selective Preference Aggregation
Shreyas Kadekodi, Hayden McTavish, Berk Ustun
Integrating Preference-Aware Modeling of Human Spatial Behavior in Cyber-Physical-Human Systems
Maral Doctorarastoo, Katherine A. Flanigan, Mario Berges, Christopher McComb
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak
Optimizing Reward Models with Proximal Policy Exploration in Preference-Based Reinforcement Learning
Yiwen Zhu, Jinyi Liu, Yifu Yuan, Wenya Wei, Zhenxing Ge, qianyi fu, Zhou Fang, Yujing Hu, Bo An
Rational Metareasoning for Large Language Models
C. Nicolò De Sabbata, Theodore Sumers, Thomas L. Griffiths
Predicting human decisions with behavioral theories and machine learning
Ori Plonsky, Reut Apel, Eyal Ert, Moshe Tennenholtz, David Bourgin, Joshua Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart Russell, Evan Carter, James F. Cavanagh, Ido Erev
Evidence from the Synthetic Laboratory: Language Models as Auction Participants
Kehang Zhu, John Joseph Horton, Yanchen Jiang, David C. Parkes, Anand V. Shah
An Experimental Study of Competitive Market Behavior Through LLMs
Jingru Jia, Zehua Yuan
Monitoring Behavioral Changes Using Spatiotemporal Graphs: A Case Study on the StudentLife Dataset
Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed
Cognitive Bias for Human-AI ad hoc Teamwork
Shray Bansal, Jin Xu, Miguel Morales, Jonathan Streater, Ayanna Howard, Charles Jr.
Improving optimal control and estimation for realistic noise models of the sensorimotor system
Francesco Damiani, Akiyuki Anzai, Jan Drugowitsch, Gregory C DeAngelis, Rubén Moreno-Bote
Multivariate Prediction of Human Behavior in Task fMRI
Alessandra Camassa, Joseph Park, Margot Wagner, Terrence Sejnowski, Gerald M Pao
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
Yun-Shiuan Chuang, Nikunj Harlalka, Sameer Narendran, Alexander Cheung, Sizhe Gao, Siddharth Suresh, Junjie Hu, Timothy T. Rogers
Analyzing Reward Functions via Trajectory Alignment
Calarina Muslimani, Suyog Chandramouli, Serena Booth, W. Bradley Knox, Matthew E. Taylor
StepCountJITAI: simulation environment for RL with application to physical activity adaptive intervention
Karine Karine, Benjamin Marlin
Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations
Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
Measuring Implicit Bias in Explicitly Unbiased Large Language Models
Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths
Meaning Through Motion: DUET – A Multimodal Dataset for Kinesics Analysis in Dyadic Activities
Cheyu Lin, Katherine A. Flanigan, Sirajum Munir
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs
Navya Jain, Zekun Wu, CRISTIAN ENRIQUE MUNOZ VILLALOBOS, Airlie Hilliard, Adriano Koshiyama, Emre Kazim, Philip Colin Treleaven
Virtual Personas for Language Models via an Anthology of Backstories
Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan
CoS: Enhancing Personalization with Context Steering
Sashrika Pandey, Jerry Zhi-Yang He, Mariah L Schrum, Anca Dragan
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu
Non-local Exchange: Introduce Non-locality via Graph Re-wiring to Graph Neural Networks
Ziquan Wei, Guorong Wu
Ultimatum Bargaining: Algorithms vs. Humans
Ali Ozkes, Nobuyuki Hanaki, Dieter Vanderelst, Jurgen Willems