most citedPersonality Pairing Improves Human-AI Collaboration

1 citations · 1 across the 3 of their papers we have counts for

collaborators

10 papers

econ.GN2026

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…

cs.HC20261 cited

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…

cs.NI2026

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…

cs.LG2026

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…

cs.MA2026

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…

cs.LG2026

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…