@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix sl:    <http://www.semanlink.net/2001/00/semanlink-schema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix tag:   <http://www.semanlink.net/tag/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix dc:    <http://purl.org/dc/elements/1.1/> .

tag:ranking_information_retrieval
        a               sl:Tag ;
        skos:prefLabel  "Ranking (information retrieval)" .

<http://www.semanlink.net/doc/2024/09/engineering_blog_journey_to_su>
        dc:title         "Engineering Blog: Journey to superhuman performance on scientific tasks" ;
        sl:comment       "> TLDR: The decision though to ignore cost and latency led to a very different system than you'll normally see in this kind of work. It takes minutes to answer questions and uses 100k tokens, but that helps us push past human-level on  benchmarks\r\n>\r\n> - A big finding is that the strong effect of chunk size, parsing quality, and embedding choice vanishes with **LLM rerank/context summary** (RCS). It's slower and more compute, but it makes the systems very robust.\r\n> - Another finding was how important it is to do multiple retrieval strategies. Using LLMs, you can get query expansion easily by having LLMs rewrite the question multiple ways. We also found exploiting sci lit metadata - i.e., citation graph - helped a lot" ;
        sl:creationDate  "2024-09-20" ;
        sl:tag           tag:reranker , tag:query_expansion , tag:llms_scientific_papers .

tag:query_expansion  a  sl:Tag ;
        skos:prefLabel  "Query Expansion" .

tag:reranker  a           sl:Tag ;
        rdfs:isDefinedBy  tag:reranker.n3 ;
        skos:broader      tag:ranking_information_retrieval ;
        skos:prefLabel    "Reranking" ;
        foaf:page         tag:reranker.html .

tag:llms_scientific_papers
        a               sl:Tag ;
        skos:prefLabel  "LLMs + scientific papers" .

tag:twitter_thread  a   sl:Tag ;
        skos:prefLabel  "Twitter thread" .

<http://www.semanlink.net/doc/2024/03/benjamin_clavie_sur_x_docume>
        dc:title         "Benjamin Clavié sur X : \"Introducing rerankers: a lightweight library to provide a unified way to use various reranking methods\"" ;
        sl:creationDate  "2024-03-16" ;
        sl:tag           tag:twitter_thread , tag:reranker , tag:benjamin_clavie .

tag:benjamin_clavie  a  sl:Tag ;
        skos:prefLabel  "Benjamin Clavié" .