Weizmann Institute of Science

The work adds a content axis to agent proactivity—horizontal proactivity pursues unstated information the current context already identifies, vertical proactivity pursues needs only earlier evidence reveals—scores runs against a need graph recovered mechanically from multi-hop benchmarks' own decompositions with no model judge, and proposes Q&D (questioner and drafter), which forks a recorded run at one step, samples eight candidate questions, continues each to the end, and prefers the question whose continuation retrieves more required evidence, so no reward model or judge is needed; on held-out splits of MuSiQue, StrategyQA and 2WikiMultiHopQA, at equal retrieval spend the trained 8B questioner recovers more required evidence than the same model prompted (89.5% versus 78.

The work adds a content axis to agent proactivity—horizontal proactivity pursues unstated information the current context already identifies, vertical proactivity pursues needs only earlier evidence reveals—scores runs against a need graph recovered mechanically from multi-hop benchmarks' own decompositions with no model judge, and proposes Q&D (questioner and drafter), which forks a recorded run at one step, samples eight candidate questions, continues each to the end, and prefers the question whose continuation retrieves more required evidence, so no reward model or judge is needed; on held-out splits of MuSiQue, StrategyQA and 2WikiMultiHopQA, at equal retrieval spend the trained 8B questioner recovers more required evidence than the same model prompted (89.5% versus 78.

This update expands the ModelSEED Biochemistry Database to roughly 46,000 compounds, 56,000 reactions and 37,000 metabolic structures, widens thermodynamic handling from two sources to four (group contribution, eQuilibrator 3.0, dGPredictor and experimental values) each kept with its own uncertainty, assigns gold, silver or bronze evidence grades to about 33,000 reactions, and releases reaction directions predicted by an ensemble of large language models alongside a new conflict-resolution pipeline that documents structural choices across sources.

This update expands the ModelSEED Biochemistry Database to roughly 46,000 compounds, 56,000 reactions and 37,000 metabolic structures, widens thermodynamic handling from two sources to four (group contribution, eQuilibrator 3.0, dGPredictor and experimental values) each kept with its own uncertainty, assigns gold, silver or bronze evidence grades to about 33,000 reactions, and releases reaction directions predicted by an ensemble of large language models alongside a new conflict-resolution pipeline that documents structural choices across sources.