TriQua: Reconciling Granularity and Context in Factuality Evaluation

arXiv:2608.05228 · cs.AI, cs.CL · Submitted 2026-08-05 · Read on arXiv

Jin Liu, Steffen Thoma, Achim Rettinger

cs.AI, cs.CL

Submitted: 2026-08-05

Code: https://github.com/BerriAI/litellmhttps:

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 58× in this paper · explained in 2 episodes
• Core — 14× in this paper · explained in 2 episodes
• Reinforcement Learning — 11× in this paper · explained in 4 episodes
• Verifier — 8× in this paper · explained in 2 episodes
• Hallucination — 6× in this paper · explained in 4 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Explainability — 5× in this paper · explained in 4 episodes
• Provenance — 5× in this paper · explained in 5 episodes
• Ontology — 4× in this paper · explained in 2 episodes
• Service Level Agreement — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Redundancy — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 2× in this paper · explained in 3 episodes
• F1 Score — 2× in this paper · explained in 4 episodes
• Hallucination Detection — 2× in this paper · explained in 2 episodes
• Papers — 2× in this paper · explained in 3 episodes
• Verifiability — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Error Localization — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 6 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 8 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 4 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Localization — 1× in this paper · explained in 2 episodes
• Mean Absolute Error — 1× in this paper
• Natural Language Inference — 1× in this paper
• Natural Language Inference (NLI) — 1× in this paper · explained in 2 episodes
• Performance Gap — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Sufficiency — 1× in this paper · explained in 2 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes

Sources

• CoverBench: A Challenging Benchmark for Complex Claim Verification
• Handling Wikidata Qualifiers in Reasoning
• GLM-5: from Vibe Coding to Agentic Engineering
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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