Showing 1–20 of 20 results
/ Date/ Name
Apr 9, 2026Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of InterestFeb 4, 2026From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential ArchitecturesOct 22, 2025Are Large Language Models Sensitive to the Motives Behind Communication?Oct 18, 2025A Closed Form for the Pulsar SequenceOct 27, 2024Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans WorseJun 24, 2024Large Language Models Assume People are More Rational than We Really areFeb 11, 2024How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?Nov 23, 2023Efficient and Robust Jet Tagging at the LHC with Knowledge DistillationNov 1, 2023Improving Interpersonal Communication by Simulating Audiences with Language ModelsOct 23, 2023API-Assisted Code Generation for Question Answering on Varied Table StructuresAug 4, 2023Using POMDP-based Approach to Address Uncertainty-Aware Adaptation for Self-Protecting SoftwareJul 19, 2023LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMsJul 11, 2023Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled TrialJun 1, 2023ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper ReviewingMar 3, 2023Hierarchical Graph Neural Networks for Particle Track ReconstructionMar 31, 2022Cite-seeing and Reviewing: A Study on Citation Bias in Peer ReviewSep 18, 2021Proposing a System Level Machine Learning Hybrid Architecture and Approach for a Comprehensive Autism Spectrum Disorder DiagnosisAug 13, 2021Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment DesignApr 2, 2021Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home VideosJun 29, 2020Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments