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Paper Section Experimental Results

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Paper Section Experimental Results has 17 facts recorded in Dontopedia across 1 reference, with 3 live disagreements.

17 facts·14 predicates·1 sources·3 in dispute

Mostly:quoted as saying(2), has statement(2), mentions quality(2)

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Quoted As Sayingin disputequotedAsSaying

  • The adaptability of SEAL allows it to deal effectively with user intent shifts and ambiguous queries.[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534
  • The authors demonstrate SEAL's superior performance on benchmark CQA datasets, achieving higher accuracy and robustness compared to static or non-agentic baselines.[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534

Has Statementin disputehasStatement

  • The adaptability of SEAL allows it to deal effectively with user intent shifts and ambiguous queries.[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534
  • The authors demonstrate SEAL's superior performance on benchmark CQA datasets, achieving higher accuracy and robustness compared to static or non-agentic baselines.[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534

Mentions Qualityin disputementionsQuality

  • Accuracy[1]all time · 0098b937 F061 4ef9 8c97 5819e2469534
  • Robustness[1]all time · 0098b937 F061 4ef9 8c97 5819e2469534

Is Section ofisSectionOf

  • Paper Seal[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534

Followsfollows

Precedesprecedes

Section IndexsectionIndex

  • 5[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534

Part ofpartOf

Rdfs:labelrdfs:label

  • Experimental Results[1]sourceall time · 0098b937 F061 4ef9 8c97 5819e2469534

Rdf:typerdf:type

Has Claim CounthasClaimCount

  • 2[1]all time · 0098b937 F061 4ef9 8c97 5819e2469534

Is in MessageisInMessage

Inbound mentions (6)

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containsSectionContains Section(2)

followsFollows(1)

hasMemberHas Member(1)

hasSectionHas Section(1)

precedesPrecedes(1)

Other facts (2)

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.

2 facts
PredicateValueRef
Mentions DatasetBenchmark Cqa Datasets[1]
Attested byChat Message 2025 12 07 2206[1]

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.

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hasStatementdocument/0098b937-f061-4ef9-8c97-5819e2469534
The adaptability of SEAL allows it to deal effectively with user intent shifts and ambiguous queries.
hasStatementdocument/0098b937-f061-4ef9-8c97-5819e2469534
The authors demonstrate SEAL's superior performance on benchmark CQA datasets, achieving higher accuracy and robustness compared to static or non-agentic baselines.
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mentionsQualitydocument/0098b937-f061-4ef9-8c97-5819e2469534
ex:accuracy
mentionsQualitydocument/0098b937-f061-4ef9-8c97-5819e2469534
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quotedAsSayingdocument/0098b937-f061-4ef9-8c97-5819e2469534
The adaptability of SEAL allows it to deal effectively with user intent shifts and ambiguous queries.
quotedAsSayingdocument/0098b937-f061-4ef9-8c97-5819e2469534
The authors demonstrate SEAL's superior performance on benchmark CQA datasets, achieving higher accuracy and robustness compared to static or non-agentic baselines.
labeldocument/0098b937-f061-4ef9-8c97-5819e2469534
Experimental Results
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References (1)

1 references
  1. [1]omega-67117 facts
    customctx: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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