Tencent proposes TGR-EvoDAG, a DAG-based multi-agent code evolution framework
_reachsumit · x · 2026-10-26
A Tencent team's arXiv paper presents TGR-EvoDAG, a multi-agent framework that evolves generative recommendation (GR) code as a directed acyclic graph of branches.
- Motivation: existing recursive self-improvement frameworks are either domain-blind or linear, while GR's cascaded pipeline (tokenization, pre-training, alignment) suffers cost blindness and short-sighted evaluation that discards upstream innovations temporarily regressing metrics.
- Method: DAG-modeled evolution maintains and merges multiple branches, adds stage-aware GPU cost planning and active downstream co-adaptation to navigate temporary regressions.
- Outcome: unified search with GR-specific diagnostic feedback yields better cross-stage gains on Tencent's recommendation stack.
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