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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs

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SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs has 19 facts recorded in Dontopedia across 4 references.

19 facts·14 predicates·4 sources

Mostly:has title(2), rdf:type(2), has author(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (9)

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expressedUncertaintyExpressed Uncertainty(1)

failedToFindExactMatchFailed to Find Exact Match(1)

initiatedPaperReviewRequestInitiated Paper Review Request(1)

isPdfVersionIs Pdf Version(1)

isUnrelatedToSealIs Unrelated to Seal(1)

requestedReviewOfRequested Review of(1)

requestedSummaryOfRequested Summary of(1)

searchedForPaperSearched for Paper(1)

summarizesSummarizes(1)

Other facts (17)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

17 facts
PredicateValueRef
Has TitleSEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs[1]
Has TitleSEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs[2]
Rdf:typeAcademic Paper[3]
Rdf:typeAcademic Paper[4]
Has AuthorHao Wang[3]
Has AuthorHao Wang[4]
Was Not Found Exactlytrue[1]
Concerns Conversational Qatrue[1]
Involves Self Evolving Agentic Learningtrue[1]
Presupposes Existencetrue[1]
Uses Knowledge Graphstrue[1]
Authored byHao Wang Et Al[2]
Cites BenchmarksCqa Datasets[2]
PresentsNovel Approach for Cqa Over Kgs[2]
Belongs to Genre ofAI Research Paper[2]
Addresses Problem ofComplex Multi Turn Query Handling[3]
ProposesSeal Framework[4]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

wasNotFoundExactlyblah/omega/part-675
true
concernsConversationalQablah/omega/part-675
true
hasTitleblah/omega/part-675
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
involvesSelfEvolvingAgenticLearningblah/omega/part-675
true
presupposesExistenceblah/omega/part-675
true
usesKnowledgeGraphsblah/omega/part-675
true
authoredByblah/omega/part-676
ex:hao-wang-et-al
citesBenchmarksblah/omega/part-676
ex:cqa-datasets
presentsblah/omega/part-676
ex:novel-approach-for-cqa-over-kgs
belongsToGenreOfblah/omega/part-676
ex:ai-research-paper
hasTitleblah/omega/part-676
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
typeblah/omega/671
ex:AcademicPaper
labelblah/omega/671
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
hasAuthorblah/omega/671
ex:hao-wang
addressesProblemOfblah/omega/671
ex:complex-multi-turn-query-handling
typedocument/0098b937-f061-4ef9-8c97-5819e2469534
ex:AcademicPaper
labeldocument/0098b937-f061-4ef9-8c97-5819e2469534
SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
hasAuthordocument/0098b937-f061-4ef9-8c97-5819e2469534
ex:hao-wang
proposesdocument/0098b937-f061-4ef9-8c97-5819e2469534
ex:seal-framework

References (4)

4 references
  1. [1]Part 6756 facts
    ctx:discord/blah/omega/part-675
  2. [2]Part 6765 facts
    ctx:discord/blah/omega/part-676
  3. [3]6714 facts
    ctx:discord/blah/omega/671
    • full textomega-671
      text/plain2 KBdoc:agent/omega-671/fa1a5bb6-7b2b-46f8-b509-ade5bebe6590
      Show excerpt
      [2025-12-07 22:06] omega [bot]: The paper "SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs" by Hao Wang et al. presents a novel approach aimed at improving conversational question answering (
  4. ctx:claims/document/0098b937-f061-4ef9-8c97-5819e2469534
    • full textomega-671
      text/plain2 KBdoc:agent/omega-671/fa1a5bb6-7b2b-46f8-b509-ade5bebe6590
      Show excerpt
      [2025-12-07 22:06] omega [bot]: The paper "SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs" by Hao Wang et al. presents a novel approach aimed at improving conversational question answering (

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