2 citations · 4 across the 10 of their papers we have counts for
11 papers
Pairit: A Platform for Live Experiments on Human-AI Collaboration
Harang Ju, Sinan Aral
Organizational design in the era of artificial intelligence requires experimental methods that can test how human-AI groups coordinate, delegate, and make decisions. Programmable p…
SMolLM: Small Language Models Learn Small Molecular Grammar
Akhil Jindal, Harang Ju
Language models for molecular design have scaled to hundreds of millions of parameters, yet how they learn chemical grammar is poorly understood. We train SMolLM, a 53K-parameter w…
Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models
Matthew DosSantos DiSorbo, Harang Ju
Effective automation hinges on deciding when to act and when to escalate. We model this as a decision under uncertainty: an LLM forms a prediction, estimates its probability of bei…
When Coordination Is Avoidable: A Monotonicity Analysis of Organizational Tasks
Harang Ju
Organizations devote substantial resources to coordination, yet which tasks actually require it for correctness remains unclear. The problem is acute in multi-agent AI systems, whe…
Personality pairing improves human-AI collaboration
Harang Ju, Sinan Aral
Here we examine how AI agent "personalities" interact with human personalities to shape human-AI collaboration and performance. In a large-scale, preregistered randomized experimen…
Are Crypto Ecosystems (De)centralizing? A Framework for Longitudinal Analysis
Harang Ju, Ehsan Valavi, Madhav Kumar +1
Blockchain technology relies on decentralization to resist faults and attacks while operating without trusted intermediaries. Although industry experts have touted decentralization…
Explaining Sustained Blockchain Decentralization with Quasi-Experiments: The Resource Flexibility of Consensus Mechanisms
Harang Ju, Madhav Kumar, Ehsan Valavi +1
Decentralization is a fundamental design element of the Web3 economy. Blockchains and distributed consensus mechanisms are touted as fault-tolerant, attack-resistant, and collusion…
Advertising Spillovers in Mobile Apps: Evidence from Ad Shutoffs and Store Rankings
Harang Ju, Michael Zhao, Sinan Aral
Using advertising campaign data from a large US-based mobile game developer, the authors study a global advertising shutoff in the context of mobile app install ads. Contrary to pr…
Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
Harang Ju, Sinan Aral
We examined the mechanisms underlying productivity and performance gains from AI agents using a large-scale experiment on Pairit, a platform we developed to study human-AI collabor…
Advancing AI Negotiations: A Large-Scale Autonomous Negotiation Competition
Michelle Vaccaro, Michael Caosun, Harang Ju +2
We conducted an International AI Negotiation Competition in which participants designed and refined prompts for AI negotiation agents. We then facilitated over 180,000 negotiations…
Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment
Matthew DosSantos DiSorbo, Harang Ju, Sinan Aral
Large language models (LLMs), initially developed for generative AI, are now evolving into agentic AI systems, which make decisions in complex, real-world contexts. Unfortunately,…