Hugging Face Trending Papers August 4, 2026

SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay

Read the original on Hugging Face Trending Papers →

Merchant risk control at large payment platforms screens tens of millions of merchants daily, where false positives harm legitimate merchants and false negatives leave harmful activity undetected. The hardest cases require jointly understanding a merchant's textual profile and long behavioral sequence.

Summary generated by The Flow from the publisher's feed. The full article lives at Hugging Face Trending Papers.

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