TKFQA - Reasoning-Chain Accuracy (Table-Text-KG Order): leaderboard

TKFQA (2026) asks counterfactual multi-hop questions whose evidence is spread over a table, text passages and a knowledge graph. Reasoning-chain accuracy is the entity-level agreement of the generated chain with the annotated counterfactual chain, in percent; higher is better, with the contexts given in table, text, knowledge-graph order.

Metric: Reasoning-chain accuracy (%; entity-level agreement of the generated reasoning chain with the annotated counterfactual chain, for counterfactual multi-hop questions grounded in a table, text passages and a knowledge graph, 1,012 test items; contexts given in table, text, knowledge-graph order; mean of three runs). Source: arxiv.org. Saturation forecast: Around February 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1O379.05#224
2Gemini 2.5 Flash77.93#452
3DeepSeek V3.269.2#403
4O4 Mini68.18#354
5DeepSeek V4 Flash65.26#254
6Kimi K2.564.04#252
7MiniMax-M2.755.34#519
8GPT-551.52#163
9Qwen 3 30B A3B43.31#1124
10Gemini 2.5 Flash Lite37.25#958
11Grok 4.332.61#332
12GPT-4.1 Mini29.59#775
13Qwen 3 8B20.14#1838
14Gemma 3 12B19.95#2013

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=tkfqa-reasoning-chain-accuracy-table-text-kg-order · How It Works · Data refreshed daily, snapshot 2026-11-12.