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Showing papers from Wrocław University of Science and Technology Show all papers

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KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering

KG-Guard detects KBQA hallucinations via graph-based answer-node classification, achieving 82, 87 F1 with 305x fewer parameters and improving downstream accuracy 13, 15 points via iterative refinement.

Albert Sawczyn, Piotr Bielak, Tomasz Kajdanowicz

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
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AbsoluteDegradation: A Physics-Inspired Synthetic Film-Degradation Pipeline and Archival Film Restoration Benchmark

AbsoluteDegradation synthesizes realistic film degradations via physics-inspired modular pipelines and introduces a large-scale archival benchmark, showing improved real-world generalization and exposing current restoration failure modes.

Mikołaj Jastrzębski, Dawid Glinkowski, Dawid Zieliński, Daniel Borkowski and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5