SciEval is a new benchmark of expert-annotated K-12 science lessons for LLM-based automatic evaluation, where zero-shot models perform poorly but fine-tuning yields up to 11% gains.
arXiv e-prints pp
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A prompting pipeline and statement-level metrics show that six state-of-the-art text-based explainable recommendation models achieve high semantic similarity but very low factual consistency on Amazon review data.
CoNNS uses an LLM-built concept ontology and cross-patient relabeling to filter noisy negatives, improving zero-shot classification and grounding of chest X-ray findings over prior methods.
Hi-GaTA is a hierarchical gated temporal aggregation adapter that uses short-to-long temporal pyramids and gated fusion to enable surgical video report generation, backed by a new 214-video benchmark and a surgical ViViT pretrained on 40,000 minutes of video.
EGM enables 8B VLMs to reach 91.4 IoU on RefCOCO at 737 ms latency, outperforming a 235B model at 4320 ms, by substituting volume of mid-quality tokens for model scale.
PrivSTRUCT extracts more than twice as many data-purpose pairs from privacy policies as prior tools by respecting document structure and finds developers overstate purposes 20.4% more often with global disclosures than local ones on 3,756 Android apps.
citing papers explorer
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SciEval: A Benchmark for Automatic Evaluation of K-12 Science Instructional Materials
SciEval is a new benchmark of expert-annotated K-12 science lessons for LLM-based automatic evaluation, where zero-shot models perform poorly but fine-tuning yields up to 11% gains.
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On the Factual Consistency of Text-based Explainable Recommendation Models
A prompting pipeline and statement-level metrics show that six state-of-the-art text-based explainable recommendation models achieve high semantic similarity but very low factual consistency on Amazon review data.
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Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings
CoNNS uses an LLM-built concept ontology and cross-patient relabeling to filter noisy negatives, improving zero-shot classification and grounding of chest X-ray findings over prior methods.
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Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation
Hi-GaTA is a hierarchical gated temporal aggregation adapter that uses short-to-long temporal pyramids and gated fusion to enable surgical video report generation, backed by a new 214-video benchmark and a surgical ViViT pretrained on 40,000 minutes of video.
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EGM: Efficient Visual Grounding Language Models
EGM enables 8B VLMs to reach 91.4 IoU on RefCOCO at 737 ms latency, outperforming a 235B model at 4320 ms, by substituting volume of mid-quality tokens for model scale.
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PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store
PrivSTRUCT extracts more than twice as many data-purpose pairs from privacy policies as prior tools by respecting document structure and finds developers overstate purposes 20.4% more often with global disclosures than local ones on 3,756 Android apps.