XHotpotQA (Gold Supporting Facts): leaderboard

XHotpotQA (2026) tests cross-lingual multi-hop question answering in which the question, bridge evidence and answer evidence may be in different languages. A one-shot reader receives the annotated supporting sentences of 7,405 validation items and is scored by answer F1 in percent under the legacy Hotpot normalization; higher is better.

Metric: Answer F1 (%; one-shot reader given the question and the annotated supporting sentences of the audited V1 validation set, 7,405 mixed-language HotpotQA-derived items, legacy Hotpot answer normalization). Source: arxiv.org. Saturation forecast: Estimated already saturated. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o50.82#741
2Llama 3.1 405B Instruct48.32#1114
3GPT-4o Mini45.13#1627
4Gemma 2 27B (IT)39.54#1815
5Qwen 2 72B Instruct37.95#1489
6aya-23-35B36.92#2669
7Gemma 2 9B (IT)35.32#2275
8Llama 3.1 8B Instruct32.12#4277
9Qwen 2 7B Instruct28.12#3238
10aya-23-8B22.29#6778

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

Interactive version: theaggregate.ai/benchmark?slug=xhotpotqa-gold-supporting-facts · How It Works · Data refreshed daily, snapshot 2026-11-12.