2 citations · 2 across the 2 of their papers we have counts for
3 papers
ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems
Salaheddin Alzu'bi, Baran Nama, Arda Kaz +6
Current agentic frameworks underperform on long-horizon tasks. As reasoning depth increases, sequential orchestration becomes brittle, context windows impose hard limits that degra…
When Incentives Backfire, Data Stops Being Human
Sebastin Santy, Prasanta Bhattacharya, Manoel Horta Ribeiro +2
Progress in AI has relied on human-generated data, from annotator marketplaces to the wider Internet. However, the widespread use of large language models now threatens the quality…
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins, Shanshan Wu, Sewoong Oh +1
In many applications of federated learning (FL), clients desire models that are personalized using their local data, yet are also robust in the sense that they retain general globa…