2 papers
cs.AI2026
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…
cs.IR2026
CryptoAnalystBench: Failures in Multi-Tool Long-Form LLM Analysis
Anushri Eswaran, Oleg Golev, Darshan Tank +2
Modern analyst agents must reason over complex, high token inputs, including dozens of retrieved documents, tool outputs, and time sensitive data. While prior work has produced too…