Research map / Large language models / Retrieval and knowledge
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace best fact-finding baseline (Generalized Investment) with ClaimEval joint PSL credibility and claim model | claim evaluation · average over 9 categories | accuracy: 0.72 -> 0.76 | Helped |
| replace Majority Vote with ClaimEval | claim evaluation · Top CS Conferences | accuracy: 0.53 -> 0.68 | Helped |
| replace fact-finders with ClaimEval | claim evaluation · High HDI Growth | accuracy: 0.86 -> 0.76 | Hurt |
| replace Generalized Sums with ClaimEval | claim evaluation · High GDP Growth | accuracy: 0.70 -> 0.60 | Hurt |
| increase number of evidences per claim (ablation) | ClaimEval · Claim evaluation | accuracy | Helped |
| increase number of evidences beyond 30 (ablation) | TruthFinder · Claim evaluation | accuracy | Hurt |
Closest papers by meaning
- AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web (NeurIPS 2025 · similarity 0.85)
- BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking (AAAI 2025 · similarity 0.83)
- Information Discernment in Large Language Models (NeurIPS 2026 · similarity 0.83)
- DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts (ICML 2025 · similarity 0.83)
- Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables (AAAI 2024 · similarity 0.82)
- Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers (AAAI 2025 · similarity 0.82)
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