TrustGen - Dynamic Fact Checking: leaderboard

TrustGen - Dynamic Fact Checking. TrustGen paper 2502.14296v2 provides native accuracy measurements and exact model versions in Table 5. Internal question answering uses parametric knowledge; fact checking classifies claims against supplied evidence rather than using a live retrieval system. Dynamic QA comes from Wikipedia and dynamic fact checking from fact-checking websites, with varied prompt formats. TrustLLM columns use the paper’s dataset pool and LLM judging against reference answers. HallusionBench and AutoHallusion are the paper’s visual-question evaluations, with their reported subsets kept separate. These source-specific runs are not automatically fused with another publisher’s results. QwQ-32B is held because the table does not distinguish its preview or released checkpoint. Reported metric: Accuracy (%).

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Estimated already saturated. 18 models tracked.

Top models

#ModelScoreOverall rank
1GPT-3.5 Turbo (0125)79.33#984
2Yi Lightning76.54#423
3O1 Mini (2024-09-12)76#411
4Qwen 2.5 72B Instruct75.42#463
5Mixtral 8x22B Instruct (v0.1)74.86#755
6GPT-4o Mini (2024-07-18)74.3#562
7Claude 3 Haiku (20240307)72.63#781
8O1 Preview (2024-09-12)72.5#215
9GLM-4 Plus71.51#397
10GPT-4o (2024-08-06)70.95#339
11DeepSeek V2.569.83#490
12Gemini 1.5 Flash (002)69.43#589
13Claude 3.5 Sonnet (20240620)68.72#305
14Gemini 1.5 Pro (002)68.16#361
15Gemma 2 27B (IT)62.57#653

No result here: #5 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=trustgen-dynamic-fact-checking · How It Works · Data refreshed daily, snapshot 2026-10-25.