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All Leaks Count, Some Count More: Interpretable Temporal Contamination Detection in LLM Backtesting
Arxiv
0+阅读 · 2月19日
VerifiableFL: Verifiable Claims for Federated Learning using Exclaves
Arxiv
0+阅读 · 2月17日
A Calculus of Overlays
Arxiv
0+阅读 · 2月18日
D-SECURE: Dual-Source Evidence Combination for Unified Reasoning in Misinformation Detection
Arxiv
0+阅读 · 2月16日
Inference-Time Rethinking with Latent Thought Vectors for Math Reasoning
Arxiv
0+阅读 · 2月6日
Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies
Arxiv
0+阅读 · 2月7日
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
Arxiv
0+阅读 · 2月13日
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
Arxiv
0+阅读 · 2月12日
Expansive homeomorphisms on complexity quasi-metric spaces
Arxiv
0+阅读 · 2月7日
SciClaimEval: Cross-modal Claim Verification in Scientific Papers
Arxiv
0+阅读 · 2月13日
SciClaimEval: Cross-modal Claim Verification in Scientific Papers
Arxiv
0+阅读 · 2月7日
From Fluent to Verifiable: Claim-Level Auditability for Deep Research Agents
Arxiv
0+阅读 · 2月14日
ISO FastLane: Faster ISO 11783 with Dual Stack Approach as a Short Term Solution
Arxiv
0+阅读 · 2月10日
What do people want to fact-check?
Arxiv
0+阅读 · 2月11日
Permissive-Washing in the Open AI Supply Chain: A Large-Scale Audit of License Integrity
Arxiv
0+阅读 · 2月9日
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