PeerPrism benchmark demonstrates that state-of-the-art LLM detectors conflate surface text style with intellectual contribution and fail on hybrid human-AI peer reviews.
Title resolution pending
5 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
years
2026 5verdicts
UNVERDICTED 5representative citing papers
UniPinRec unifies retrieval and ranking into a single model and pipeline deployed at Pinterest, reporting +1% engagement lift, 11.1% lower latency, and 63.6% higher QPS.
Long-Term Embeddings anchor sequential recommendation models to fixed content-based item representations to capture stable preferences and ensure version compatibility, resulting in uplifts in user engagement and financial metrics.
Ishigaki-IDS is a verifier-aware LLM for generating validator-passing IDS files in BIM, reaching IDSAuditPass scores of 0.651-0.753 on a 166-case benchmark and cutting practitioner work time by 54.7%.
Peerispect extracts claims from peer reviews, retrieves evidence from the manuscript, and verifies them via NLI in a modular pipeline with a visual interface.
citing papers explorer
-
PeerPrism: Peer Evaluation Expertise vs Review-writing AI
PeerPrism benchmark demonstrates that state-of-the-art LLM detectors conflate surface text style with intellectual contribution and fail on hybrid human-AI peer reviews.
-
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
UniPinRec unifies retrieval and ranking into a single model and pipeline deployed at Pinterest, reporting +1% engagement lift, 11.1% lower latency, and 63.6% higher QPS.
-
Long-Term Embeddings for Balanced Personalization
Long-Term Embeddings anchor sequential recommendation models to fixed content-based item representations to capture stable preferences and ensure version compatibility, resulting in uplifts in user engagement and financial metrics.
-
Ishigaki-IDS: An Open-Weight Verifier-Aware Model for Information Delivery Specification Drafting in Building Information Modeling
Ishigaki-IDS is a verifier-aware LLM for generating validator-passing IDS files in BIM, reaching IDSAuditPass scores of 0.651-0.753 on a 166-case benchmark and cutting practitioner work time by 54.7%.
-
Peerispect: Claim Verification in Scientific Peer Reviews
Peerispect extracts claims from peer reviews, retrieves evidence from the manuscript, and verifies them via NLI in a modular pipeline with a visual interface.