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MAVEN: Improving Generalization in Agentic Tool Calling

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arXiv:2605. 30738v1 Announce Type: new Abstract: Generalization across agentic tool-calling environments remains a central challenge for reliable agentic reasoning systems.

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Authors: Omkar Ghugarkar, Vishvesh Bhat, Muhammad Ahmed Mohsin, Asad Aali
Released: 2026-06-01 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because MAVEN: Improving Generalization in Agentic Tool Calling overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, rect, under, eval, line, rate, without, position. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2605.30738

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