Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training
Source: ArXiv AI ↗
Navalia, a new framework for “Cowork Agents,” was unveiled to enable large language model (LLM) agents to perform autonomous, long‑horizon financial analysis by synthesising verifiable tasks from corporate financial reports. Built on the Qwen3.6‑35B‑A3B model, Navalia selects supporting evidence from complete fact sets, constructs executable computation chains, and employs independent LLM review plus programmatic checks to ensure evidence consistency and answer correctness. The verified tasks are then used for trajectory collection, cold‑start supervised fine‑tuning (SFT) and reinforcement learning (RL), yielding consistent performance gains across five benchmarks—OfficeQA Pro, FinSearchComp, Finance Agent Benchmark, APEX‑Agents‑AA, and Workspace‑Bench‑Lite.
The core innovation addresses two persistent challenges in financial‑analysis LLM agents: the high cost of expert‑authored tasks and the unreliability of directly synthesized tasks. By semantically selecting evidence and building traceable data dependencies between steps, Navalia creates analytical tasks whose answers can be programmatically verified, reducing reliance on costly human annotation while maintaining rigorous standards for numerical reasoning and cross‑document evidence integration. This verifiable task synthesis also allows the framework to generate a diverse set of training trajectories that reflect real‑world financial workflows, improving the agents’ ability to plan, use tools, and execute multi‑step computations.
Early results show that Navalia‑enhanced agents outperform the base model not only on finance‑specific benchmarks but also on broader office‑task suites, indicating that the approach generalises beyond narrow domains. The framework’s success suggests that future Cowork Agents could be trained with similarly verifiable, data‑driven tasks, reducing the bottleneck of expert authoring while delivering reliable, evidence‑backed outputs for complex enterprise applications.
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🌍 Effects for your country
The U.S.'s central bank rate currently stands at 3.75%, so a global rates move like this could feed through to local borrowing costs. The U.S.'s economy is growing at 2.3% with inflation at 3.2%, the backdrop this story's effects play out against locally. Housing-market effects like this are usually felt most where mortgage rates track the U.S.'s own central bank rate closely. With the U.S.'s unemployment at 4.4%, personal-finance effects like this land on a labour market that is currently fairly stable. Health-system effects are harder to localise from economic indicators alone — the real impact in the U.S. depends more on local healthcare capacity than the figures above.
The UK's central bank rate currently stands at 3.75%, so a global rates move like this could feed through to local borrowing costs. The UK's economy is growing at 0.8% with inflation at 3.2%, the backdrop this story's effects play out against locally. Housing-market effects like this are usually felt most where mortgage rates track the UK's own central bank rate closely. With the UK's unemployment at 5.6%, personal-finance effects like this land on a labour market that is currently fairly stable. Health-system effects are harder to localise from economic indicators alone — the real impact in the UK depends more on local healthcare capacity than the figures above.
France's central bank rate currently stands at 2%, so a global rates move like this could feed through to local borrowing costs. France's economy is growing at 0.9% with inflation at 1.8%, the backdrop this story's effects play out against locally. Housing-market effects like this are usually felt most where mortgage rates track France's own central bank rate closely. With France's unemployment at 7.9%, personal-finance effects like this land on a labour market that is already under strain. Health-system effects are harder to localise from economic indicators alone — the real impact in France depends more on local healthcare capacity than the figures above.
Romania's central bank rate currently stands at 6.5%, so a global rates move like this could feed through to local borrowing costs. Romania's economy is growing at 0.7% with inflation at 7.8%, the backdrop this story's effects play out against locally. Housing-market effects like this are usually felt most where mortgage rates track Romania's own central bank rate closely. With Romania's unemployment at 6%, personal-finance effects like this land on a labour market that is currently fairly stable. Health-system effects are harder to localise from economic indicators alone — the real impact in Romania depends more on local healthcare capacity than the figures above.
The UAE's central bank rate currently stands at 3.65%, so a global rates move like this could feed through to local borrowing costs. The UAE's economy is growing at 3.1% with inflation at 2.5%, the backdrop this story's effects play out against locally. Housing-market effects like this are usually felt most where mortgage rates track the UAE's own central bank rate closely. Health-system effects are harder to localise from economic indicators alone — the real impact in the UAE depends more on local healthcare capacity than the figures above.