Research [ASAP] Rapid Adaptation of Chemical Named Entity Recognition Using Few-Shot Learning and LLM Distillation LikeLiked Date: May 1, 2025 Less than 1 MinRead Views: 59 Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.5c00248 Source: http://dx.doi.org/10.1021/acs.jcim.5c00248 Tags:Materials Industry FacebookTwitterLinkedinWhatsAppTelegramEmail ALT-Lab-Ad-1ALT-Lab-Ad-2ALT-Lab-Ad-3ALT-Lab-Ad-4ALT-Lab-Ad-5ALT-Lab-Ad-6ALT-Lab-Ad-7ALT-Lab-Ad-8ALT-Lab-Ad-9ALT-Lab-Ad-10ALT-Lab-Ad-11ALT-Lab-Ad-12ALT-Lab-Ad-13 Recent Articles The asymmetric impact of geopolitical risk on maritime trade: empirical evidence from the Russo-Ukrainian tensions Research May 15, 2026 9 Wilson Ave Apartment / MA+Co + Neometro Built Environment May 14, 2026 A self-healing hydrogel electrolyte based on carboxymethyl cellulose with synergistic structural reinforcement and ion transport regulation for flexible zinc-ion batteries Research May 14, 2026 Sustainable cathode material screening for sodium-ion batteries using a hesitant fuzzy-intuitionistic MCDM framework Research May 14, 2026 PH7 Technologies targets tough ores with cleaner, closed-loop processing Materials & Chemicals May 14, 2026 Mapped: America’s Gender Earnings Gap by State Finance & investments May 14, 2026 Recycling gains and material losses: A panel analysis of household waste trends in a decade of disruption Research May 14, 2026 Plastic packaging converters raise red flags over Iran war impact Packaging May 14, 2026 Ford’s New Energy Business Targets Tesla’s Storage Empire, Sending Stock (F) Upward Climate & Resource May 14, 2026 Growing Sorghum During a Drought Food & Agriculture May 14, 2026 Load more
