LLM study of 67 abstracts finds strong local QA, weak global consistency
An evaluation of 67 complete scientific abstracts found high automated scores for local question-answering checks but only 0.07 for document-wide ...
An evaluation of 67 complete scientific abstracts found high automated scores for local question-answering checks but only 0.07 for document-wide ...
A new 200,000-question benchmark from Carnegie Mellon University reveals that leading vision-language models perform at random chance when interpreting engineering ...
Chinese researchers have built an ontology-guided LightRAG framework that converts fragmented precarious rock hazard records into a knowledge graph, achieving ...
Researchers at Xidian University have developed a Topic Semantic Relational Knowledge model that filters dialogue history by topic and matches ...
A new hybrid model called TG-Parser combines Transformer encoders with graph convolutional networks to achieve record-setting accuracy in English grammatical ...
Researchers have developed MORSE, a training-free method that treats evidence selection in retrieval-augmented question answering as a multi-objective subset optimization ...
A new neural framework called CMCE+BK combines extended candidate events with multi-level background knowledge to dramatically improve the mining of ...
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© 2025 Scienmag - Science Magazine