aiBACKGROUND
$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, a
BACKGROUND
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How the story developed
19 May
$f$-Trajectory Balance: A Loss Family for Tuning GFlowNets, Generative Models, and LLMs with Off- and On-Policy Data
REPORT · WHAT · ArXiv CS.AI
6.8
Other feeds and industry voices
13 Apr
On Divergence Measures for Training GFlowNets
arXiv:2410.09355v2 Announce Type: cross Abstract: Generative Flow Networks (GFlowNets) are amortized inference models designed to sample from unnormalized distributions over
REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 May
Generative Recursive Reasoning
arXiv:2605.19376v1 Announce Type: new Abstract: How should future neural reasoning systems implement extended computation? Recursive Reasoning Models (RRMs) offer a promising
REPORT · HOW · ArXiv CS.AIOPEN STORY
5 Oct
MintFlow: Minimal Trajectory Intervention for Constrained Flow Matching
arXiv:2610.02260v1 Announce Type: new Abstract: Flow matching models excel at generative modeling, and many downstream applications require their samples to satisfy prescribed
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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