Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation

2026-05-07T08:52:22Z3e4c850aacb1476c5d891632f5c4a1561b509b856c0579d8f67e65fd729223c1
HBMaudiovisualcrowdsourcingdataset-releasedeepfakeeye-trackingmisinformationmobile-inferencemodel-servingon-device-LLMopen-source-codeperformance-SLOprivacyrecommendation-systemsreproducibilityuser-behavior

What happened

This collection contains multiple research releases with clear security and privacy implications. Key items: (1) “Beyond Seeing Is Believing” shows crowdsourced audiovisual deepfake detection produces many false negatives and poor modality attribution, meaning large-scale human screening will miss many manipulations; (2) AllSERP publishes pixel-accurate per-element bounding boxes plus 150 Hz gaze, mouse, scroll and pupil telemetry and JSON replay tools, substantially increasing identifiability and re‑identification/privacy risk of SERP interaction data; (3) RecGPT-Mobile describes deploying LL

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ir
Record identifier
3e4c850aacb1476c5d891632f5c4a1561b509b856c0579d8f67e65fd729223c1
Enrichment time
2026-05-07T08:52:22Z
AI-assisted enrichment
Yes

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