Omni-Decision is presented, an omni-modal agent built on evidence-ledger planning: it replaces the growing dialogue history with an explicit evidence ledger that records what evidence is still missing, what has been confirmed, and where records conflict.
Long-horizon agentic tasks require an agent to modify an environment through a sequence of tool calls, with success determined by the final state. The standard recipe assigns a single outcome reward at the end and compares trajectories sampled for the same task. As a result, a group with no successful trajectory yields...
QAQ, a novel data selection framework that evaluates data quality from the reverse direction: how well can the answer predict the query conditioned on the query, is proposed and Reverse Mutual Information (RMI) is defined to quantify the information gain about the query conditioned on the answer.