NeurIPS 2026 · Evaluations & Datasets Track

SituRecBench: Evaluating Frontier Models as Situated Recommendation Assistants in 3D Environments

1 The Hong Kong Polytechnic University   2 Sichuan University

Main Demo Pending
2Realistic 3D Shopping Environments
479Catalog Products
200Hidden Shopping Goals

Assisting Users from Language Instructions to Physical Actions

Demo Coming Soon

Free Move

Move forward, backward, or sideways while keeping the final facing direction.

Related Benchmarks

BenchmarkSpatial
Environment
Egocentric
View
DialoguePhysical
Action
RecommendationInteractive
Evaluation
Scenario
SIMMC-VR (Wu et al., 2023)IncludedIncludedIncludedNot includedIncludedNot includedVirtual Reality Shopping
SCREEN (Lin et al., 2024)IncludedIncludedIncludedNot includedIncludedNot includedMultimodal Recommendation
MUSE (Wang et al., 2025)Not includedNot includedIncludedNot includedIncludedNot includedMultimodal Recommendation
MarketGen (Hu et al., 2025)IncludedIncludedNot includedIncludedNot includedNot includedEmbodied Retail
DeliveryBench (Mao et al., 2026)IncludedIncludedNot includedIncludedNot includedNot includedFood Delivery
S3IT (Sun et al., 2025)IncludedIncludedIncludedNot includedNot includedIncludedSituated Social Test
Alexa Arena (Gao et al., 2023)IncludedIncludedIncludedIncludedNot includedIncludedGamified Robotics
SimWorld (Ye et al., 2025)IncludedIncludedIncludedIncludedNot includedNot includedUrban Robotics
Virtual Community (Zhou et al., 2026)IncludedIncludedIncludedIncludedNot includedNot includedEmbodied Community
SituRecBench (Ours)IncludedIncludedIncludedIncludedIncludedIncludedSituated Shopping

Benchmark Construction

SituRecBench framework: situated 3D environment construction, user simulation, and interactive evaluation with role-specific observations and actions.

Leaderboard

Gemini
GPT
Claude
Qwen
Gemma
All Environments Supermarket Home Furnishings Store
RankAssistantSROverallAFRLNSRR@5NDCG@10
1
Gemini 3.1 Pro Preview
73.0±6.23.53±0.1480.9±1.164.4±3.957.1±3.649.9±4.2
2
GPT-5.6 Sol
67.0±12.93.41±0.2785.6±1.470.8±3.052.2±10.245.6±8.5
3
Qwen3.6-Plus
59.5±6.62.82±0.1868.8±3.048.4±3.344.5±5.539.0±5.4
4
Claude Opus 5
58.0±3.72.90±0.1175.0±3.154.2±4.243.4±3.038.6±2.3
5
GPT-4o
40.0±8.32.40±0.1059.6±1.934.3±3.527.3±4.623.4±3.7
6
Qwen3-VL-8B-Instruct
31.5±6.41.95±0.0940.8±4.717.7±5.717.8±3.515.7±3.7
7
Gemma 4 E4B (IT)
29.5±6.82.15±0.2344.6±2.318.7±2.817.3±4.115.7±4.6

Citation

BibTeX

@inproceedings{siturecbench2026,
  author       = {Yang, Jingtong and Lin, Dongding and Wang, Jian and Li, Wenjie},
  title        = {SituRecBench: Evaluating Frontier Models as Situated Recommendation Assistants in 3D Environments},
  booktitle    = {NeurIPS 2026 Evaluations and Datasets Track},
  year         = {2026}
}