EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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4 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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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.
On ChemKGMultiHopQA, iterative retrieval-reasoning outperformed oracle gold-context static RAG for all 11 LLMs tested, with gains up to 25.6 percentage points.
Introduces Ex-HateMM and Ex-ImpliHateVid datasets and the IARE framework using multimodal CoT and DPO to achieve explainable hateful video detection with claimed SOTA performance.
citing papers explorer
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Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
EstGraph benchmark evaluates LLMs on estimating properties of very large graphs from random-walk samples that fit in context limits.
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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.
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When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
On ChemKGMultiHopQA, iterative retrieval-reasoning outperformed oracle gold-context static RAG for all 11 LLMs tested, with gains up to 25.6 percentage points.
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Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
Introduces Ex-HateMM and Ex-ImpliHateVid datasets and the IARE framework using multimodal CoT and DPO to achieve explainable hateful video detection with claimed SOTA performance.