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Emmanuele Chersoni

  1. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines
    2024/10/16 by Genta Indra Winata, Winata, Genta Indra, Frederikus Hudi +98 · 1 voice · 14 citations
    Agricultural and Biological Sciences · #Culinary Culture and Tourism
  2. Event knowledge in large language models: the gap between the impossible and the unlikely
    2022/12/02 by Carina Kauf, Kauf, Carina, Anna A. Ivanova +13 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  3. Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models
    2024/03/21 by Carina Kauf, Emmanuele Chersoni, Kauf, Carina +7 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  4. Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
    2022/04/20 by Qingyu Chen, Chen, Qingyu, Alexis Allot +73 · 2 citations
    Biochemistry, Genetics and Molecular Biology · #Biomedical Text Mining and Ontologies #Genetics, Bioinformatics, and Biomedical Research #vaccines and immunoinformatics approaches
  5. Every Time I Hire a Linguist, Inference Costs Go Down: On Linguistic Rules as Effective Prompt Compressors
    2026/07/28 by Jianfei Ma, Zhaoxin Feng, Emmanuele Chersoni +1 · 1 voice
    Computer Science · #cs.AI #cs.CL
  6. A Rank-Based Similarity Metric for Word Embeddings
    2018/05/04 by Enrico Santus, Santus, Enrico, Hongmin Wang +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling