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Home/Authors/Jonathan May

Jonathan May

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Info Retrieval×1NLP×1

Frequent co-authors

Jonathan Mayo1×
Moshe Unger1×
Konstantin Bauman1×
Tenghao Huang1×
Kung-Hsiang Huang1×
Prafulla Kumar Choubey1×

Research Timeline

2026
GTA: Generating Long-Horizon Tasks for Web Agents at Scale

The paper introduces GTA, a scalable framework for generating realistic, multi-hop web-agent tasks with dense, executable trajectories, addressing the current lack of process-level supervision in web agent research.

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation

The paper proposes SPHERE, a novel framework that uses large language models to create semantic user personas, enabling effective cross-domain recommendation knowledge transfer between completely disjoint platforms.

Highlighted terms show continued research focus across papers

Papers

cs.IRcs.AIRecentJun 1, 2026

Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation

Jonathan Mayo, Moshe Unger, Konstantin Bauman

The paper proposes SPHERE, a novel framework that uses large language models to create semantic user personas, enabling effective cross-domain recommendation knowledge transfer between completely disj…

View →
cs.AIcs.CLRecentMay 28, 2026

GTA: Generating Long-Horizon Tasks for Web Agents at Scale

Tenghao Huang, Kung-Hsiang Huang, Prafulla Kumar Choubey, Yilun Zhou +3 more

The paper introduces GTA, a scalable framework for generating realistic, multi-hop web-agent tasks with dense, executable trajectories, addressing the current lack of process-level supervision in web…

View →