# Tens

Source: [Tens](<https://www.sota2.com/research/dataset/tens>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Benchmarks

Page 1 of 3. This is an index page, not the full collection.

- [Next index page](<https://www.sota2.com/research/dataset/tens.md?page=2>): Follow this link to discover more pages.

- [Low-rank tensor decomposition on Cardiac MRI tensor](<https://www.sota2.com/research/sota/low-rank-tensor-decomposition-on-cardiac-mri-tensor.md>): Low-rank tensor decomposition; Cardiac MRI tensor.

- [Tucker decomposition on Cardiac MRI tensor](<https://www.sota2.com/research/sota/tucker-decomposition-on-cardiac-mri-tensor.md>): Tucker decomposition; Cardiac MRI tensor.

- [Long-context Recall on SQuAD, FDA, and SWDE Subset](<https://www.sota2.com/research/sota/long-context-recall-on-squad-fda-and-swde-subset.md>): Long-context Recall; Long-context Recall-intensive Tasks Suite SQuAD, FDA, SWDE.

- [Tensor Decomposition on Hyperspectral image tensor](<https://www.sota2.com/research/sota/tensor-decomposition-on-hyperspectral-image-tensor.md>): Tensor Decomposition; Hyperspectral image tensor.

- [Hyperspectral Tensor Reconstruction on Hyperspectral radiance image tensor (full)](<https://www.sota2.com/research/sota/hyperspectral-tensor-reconstruction-on-hyperspectral-radiance-image-tensor-full.md>): Hyperspectral Tensor Reconstruction; Hyperspectral radiance image tensor (full).

- [Refusal Evaluation on Past Tense](<https://www.sota2.com/research/sota/refusal-evaluation-on-past-tense.md>): Refusal Evaluation; Past Tense.

- [Tensor Completion on Order-3 nonnegative tensors n=500 samples (test)](<https://www.sota2.com/research/sota/tensor-completion-on-order-3-nonnegative-tensors-n-500-samples-test.md>): Tensor Completion; Order-3 nonnegative tensors n=500 samples (test).

- [Relative Robustness Analysis on Combined Past Tense, OR-Bench, MMLU](<https://www.sota2.com/research/sota/relative-robustness-analysis-on-combined-past-tense-or-bench-mmlu.md>): Relative Robustness Analysis; Combined Past Tense, OR-Bench, MMLU.

- [Object Detection Performance on Tesla T4 GPU TensorRT 8.2](<https://www.sota2.com/research/sota/object-detection-performance-on-tesla-t4-gpu-tensorrt-8-2.md>): Object Detection; Tesla T4 GPU TensorRT 8.2.

- [Recall-intensive Retrieval on SWDE, SQuAD, FDA, TQA, NQ, and Drop Suite](<https://www.sota2.com/research/sota/recall-intensive-retrieval-on-swde-squad-fda-tqa-nq-and-drop-suite.md>): Recall-intensive retrieval; Recall-intensive retrieval tasks SWDE, SQUADE, FDA, Trivial QA, NQ, Drop.

- [Tool-integrated Reasoning on Computational and Knowledge-Intensive Reasoning Suite (test)](<https://www.sota2.com/research/sota/tool-integrated-reasoning-on-computational-and-knowledge-intensive-reasoning-suite-test.md>): Tool-integrated Reasoning; Computational and Knowledge-Intensive Reasoning Tasks (AIME24, AIME25, MATH500, GSM8K, MATH, WebWalker, HQA, 2Wiki., MuSiQ., Bamb.) latest (test).

- [Knowledge-Intensive Reasoning on Knowledge-Intensive Reasoning Suite (2Wiki, Bamb, HQA, MuSi, SimQA)](<https://www.sota2.com/research/sota/knowledge-intensive-reasoning-on-knowledge-intensive-reasoning-suite-2wiki-bamb-hqa-musi-simqa.md>): Knowledge-Intensive Reasoning; Knowledge-Intensive Reasoning Suite 2Wiki., Bamb., HQA, MuSi., SimQA.

- [Tense Reinflection on tense reinflection without auxiliary do (hierarchical)](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-without-auxiliary-do-hierarchical.md>): Tense Reinflection; tense reinflection without auxiliary do (hierarchical).

- [Edge Estimation on Synthetic tensor time series](<https://www.sota2.com/research/sota/edge-estimation-on-synthetic-tensor-time-series.md>): Edge estimation; Synthetic tensor time series.

- [Tense Reinflection on tense reinflection without auxiliary do (test)](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-without-auxiliary-do-test.md>): Tense Reinflection; tense reinflection without auxiliary do (test).

- [Prompt Optimization on Logical Reasoning, Mathematical Calculation, and Knowledge Intensive tasks Average](<https://www.sota2.com/research/sota/prompt-optimization-on-logical-reasoning-mathematical-calculation-and-knowledge-intensive-tasks-average.md>): Prompt Optimization; Logical Reasoning, Mathematical Calculation, and Knowledge Intensive tasks Average.

- [Disease Classification on UK Biobank Hypertension (test)](<https://www.sota2.com/research/sota/disease-classification-on-uk-biobank-hypertension-test.md>): Disease Classification; UK Biobank Hypertension (test).

- [Uncertainty Attribution on UA-Bench Reasoning-intensive Tasks](<https://www.sota2.com/research/sota/uncertainty-attribution-on-ua-bench-reasoning-intensive-tasks.md>): Uncertainty Attribution; UA-Bench Reasoning-intensive Tasks.

- [Uncertainty Attribution on UA-Bench Knowledge-intensive Tasks](<https://www.sota2.com/research/sota/uncertainty-attribution-on-ua-bench-knowledge-intensive-tasks.md>): Uncertainty Attribution; UA-Bench Knowledge-intensive Tasks.

- [Recall-Intensive Evaluation on Recall-Intensive Tasks](<https://www.sota2.com/research/sota/recall-intensive-evaluation-on-recall-intensive-tasks.md>): Recall-Intensive Evaluation; Recall-Intensive Tasks.

- [Tensor Completion on Increasing order nonnegative tensors synthetic n = 10,000 samples](<https://www.sota2.com/research/sota/tensor-completion-on-increasing-order-nonnegative-tensors-synthetic-n-10-000-samples.md>): Tensor Completion; Increasing order nonnegative tensors synthetic n = 10,000 samples.

- [Tensor Completion on Nonnegative tensors size 10^6](<https://www.sota2.com/research/sota/tensor-completion-on-nonnegative-tensors-size-10-6.md>): Tensor Completion; Nonnegative tensors size 10^6.

- [Tense reinflection on Tense reinflection (auxiliary do) Generalization Comparison 1.0](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-auxiliary-do-generalization-comparison-1-0.md>): Tense reinflection; Tense reinflection (auxiliary do) Generalization Comparison 1.0.

- [Tense reinflection on Tense reinflection (auxiliary do) 1.0 (Linear generalization)](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-auxiliary-do-1-0-linear-generalization.md>): Tense reinflection; Tense reinflection (auxiliary do) 1.0 (Linear generalization).

- [Tense reinflection on Tense reinflection auxiliary do 1.0 (Hierarchical generalization)](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-auxiliary-do-1-0-hierarchical-generalization.md>): Tense reinflection; Tense reinflection auxiliary do 1.0 (Hierarchical generalization).

- [Tense Reinflection on Tense reinflection auxiliary do 1.0 (test)](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-auxiliary-do-1-0-test.md>): Tense reinflection; Tense reinflection auxiliary do 1.0 (test).

- [Tense Reinflection on tense reinflection without auxiliary do inductive bias](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-without-auxiliary-do-inductive-bias.md>): Tense Reinflection; tense reinflection without auxiliary do inductive bias.

- [Tense Reinflection on Tense Reinflection without auxiliary do (linear)](<https://www.sota2.com/research/sota/tense-reinflection-on-tense-reinflection-without-auxiliary-do-linear.md>): Tense Reinflection; Tense Reinflection without auxiliary do (linear).

- [Graph Expressivity on BREC Extension Graphs v1](<https://www.sota2.com/research/sota/graph-expressivity-on-brec-extension-graphs-v1.md>): Graph Expressivity; BREC Extension Graphs v1.

- [Question Answering on Knowledge-Intensive Question Answering Benchmarks Aggregate](<https://www.sota2.com/research/sota/question-answering-on-knowledge-intensive-question-answering-benchmarks-aggregate.md>): Question Answering; Knowledge-Intensive Question Answering Benchmarks Aggregate.

- [Network Change Point Detection on Synthetic tensor time series (test)](<https://www.sota2.com/research/sota/network-change-point-detection-on-synthetic-tensor-time-series-test.md>): Network change point detection; Synthetic tensor time series (test).

- [Person Re-identification on Market-1501 Data Extension 10% → 100%](<https://www.sota2.com/research/sota/person-re-identification-on-market-1501-data-extension-10-percent-100-percent.md>): Person Re-identification; Market-1501 Data Extension 10% → 100%.

- [Compiler Optimization on tensorflow](<https://www.sota2.com/research/sota/compiler-optimization-on-tensorflow.md>): Compiler Optimization; tensorflow.

- [Malicious Package Detection on PyPI Extensive Imports (test)](<https://www.sota2.com/research/sota/malicious-package-detection-on-pypi-extensive-imports-test.md>): Malicious Package Detection; PyPI Extensive Imports (test).

- [Long Video Generation on VBench 2x extension 1.0](<https://www.sota2.com/research/sota/long-video-generation-on-vbench-2x-extension-1-0.md>): Long Video Generation; VBench 2x extension 1.0.

- [Person Re-identification on Market-1501 Data Extension 50% → 100%](<https://www.sota2.com/research/sota/person-re-identification-on-market-1501-data-extension-50-percent-100-percent.md>): Person Re-identification; Market-1501 Data Extension 50% → 100%.

- [Image Retrieval on In-shop Backbone Extension (R18 → R50)](<https://www.sota2.com/research/sota/image-retrieval-on-in-shop-backbone-extension-r18-r50.md>): Image Retrieval; In-shop Backbone Extension (R18 → R50).

- [Image Retrieval on In-shop Data Extension (30% → 100%)](<https://www.sota2.com/research/sota/image-retrieval-on-in-shop-data-extension-30-percent-100-percent.md>): Image Retrieval; In-shop Data Extension (30% → 100%).

- [In-context recall on Recall-intensive tasks suite](<https://www.sota2.com/research/sota/in-context-recall-on-recall-intensive-tasks-suite.md>): In-context recall; Recall-intensive tasks suite.

- [Tensor Completion on Synthetic Discrete Data tensor size 30x30x30 (30% Sampling Rate)](<https://www.sota2.com/research/sota/tensor-completion-on-synthetic-discrete-data-tensor-size-30x30x30-30-percent-sampling-rate.md>): Tensor Completion; Synthetic Discrete Data tensor size 30x30x30 (30% Sampling Rate).

- [Tensor Completion on Synthetic Discrete Data tensor size 30x30x30 (20% Sampling Rate)](<https://www.sota2.com/research/sota/tensor-completion-on-synthetic-discrete-data-tensor-size-30x30x30-20-percent-sampling-rate.md>): Tensor Completion; Synthetic Discrete Data tensor size 30x30x30 (20% Sampling Rate).

- [Mathematical Reasoning on MathVerse-Plus Vision Intensive 1.0 (test)](<https://www.sota2.com/research/sota/mathematical-reasoning-on-mathverse-plus-vision-intensive-1-0-test.md>): Mathematical Reasoning; MathVerse-Plus Vision Intensive 1.0 (test).

- [Mathematical Reasoning on MathVerse Vision Intensive (testmini)](<https://www.sota2.com/research/sota/mathematical-reasoning-on-mathverse-vision-intensive-testmini.md>): Mathematical Reasoning; MathVerse Vision Intensive (testmini).

- [CyanoHAB Intensity Forecasting on CyanoHAB intensity forecasting 2023-2024 (test)](<https://www.sota2.com/research/sota/cyanohab-intensity-forecasting-on-cyanohab-intensity-forecasting-2023-2024-test.md>): CyanoHAB intensity forecasting; CyanoHAB intensity forecasting 2023-2024 (test).

- [Relighting on TensoSDF synthetic dataset (full)](<https://www.sota2.com/research/sota/relighting-on-tensosdf-synthetic-dataset-full.md>): Relighting; TensoSDF synthetic dataset (full).

- [Reasoning Quality Evaluation on EmoArt salience extension (test)](<https://www.sota2.com/research/sota/reasoning-quality-evaluation-on-emoart-salience-extension-test.md>): Reasoning Quality Evaluation; EmoArt salience extension (test).

- [Classification on Hypertension](<https://www.sota2.com/research/sota/classification-on-hypertension.md>): Classification; Hypertension.

- [Out-of-Distribution Detection on JUMP Intensity Shift](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-jump-intensity-shift.md>): Out-of-Distribution Detection; JUMP Intensity Shift.

- [Out-of-Distribution Detection on BBBC021 Intensity Shift](<https://www.sota2.com/research/sota/out-of-distribution-detection-on-bbbc021-intensity-shift.md>): Out-of-Distribution Detection; BBBC021 Intensity Shift.

- [Clinical Diagnosis on Hypertension (test)](<https://www.sota2.com/research/sota/clinical-diagnosis-on-hypertension-test.md>): Clinical Diagnosis; Hypertension (test).

- [Hypertension Classification on Hypertension Classification Dataset](<https://www.sota2.com/research/sota/hypertension-classification-on-hypertension-classification-dataset.md>): Hypertension Classification; Hypertension Classification Dataset.

- [Novel View Synthesis on TensoIR Synthetic](<https://www.sota2.com/research/sota/novel-view-synthesis-on-tensoir-synthetic.md>): Novel View Synthesis; TensoIR Synthetic.

- [Table Question Answering on ROBUT-WTQ Column Extension (test)](<https://www.sota2.com/research/sota/table-question-answering-on-robut-wtq-column-extension-test.md>): Table Question Answering; ROBUT-WTQ Column Extension (test).

- [In-hospital mortality prediction on MIMIC-III Hypertension](<https://www.sota2.com/research/sota/in-hospital-mortality-prediction-on-mimic-iii-hypertension.md>): In-hospital mortality prediction; MIMIC-III Hypertension.

- [Text-to-Image Generation on SEARCHGEN-BENCH Search-Intensive](<https://www.sota2.com/research/sota/text-to-image-generation-on-searchgen-bench-search-intensive.md>): Text-to-Image Generation; SEARCHGEN-BENCH Search-Intensive.

- [Prescription rate prediction on London Prescription Outcomes Hypertension (Ten-fold cross-validation)](<https://www.sota2.com/research/sota/prescription-rate-prediction-on-london-prescription-outcomes-hypertension-ten-fold-cross-validation.md>): Prescription rate prediction; London Prescription Outcomes Hypertension (Ten-fold cross-validation).

- [Fish Feeding Intensity Quantification on Fish Feeding Intensity Dataset](<https://www.sota2.com/research/sota/fish-feeding-intensity-quantification-on-fish-feeding-intensity-dataset.md>): Fish Feeding Intensity Quantification; Fish Feeding Intensity Dataset.

- [Semantic Segmentation Efficiency on 256x256 Input](<https://www.sota2.com/research/sota/semantic-segmentation-efficiency-on-256x256-input.md>): Semantic Segmentation; Input tensor (1, 3, 256, 256).

- [Object Detection on KITTI-Rain 200mm/hr rain intensity (test)](<https://www.sota2.com/research/sota/object-detection-on-kitti-rain-200mm-hr-rain-intensity-test.md>): Object Detection; KITTI-Rain 200mm/hr rain intensity (test).

- [Prompt Injection Robustness on TensorTrust hijacking and extraction (full dataset)](<https://www.sota2.com/research/sota/prompt-injection-robustness-on-tensortrust-hijacking-and-extraction-full-dataset.md>): Prompt Injection Robustness; TensorTrust hijacking and extraction (full dataset).

- [Multi-step tensor program optimization on Step-TP (100 held-out tensor programs)](<https://www.sota2.com/research/sota/multi-step-tensor-program-optimization-on-step-tp-100-held-out-tensor-programs.md>): Multi-step tensor program optimization; Step-TP (100 held-out tensor programs).

- [Engineering Design Optimization on tension\_spring](<https://www.sota2.com/research/sota/engineering-design-optimization-on-tension_spring.md>): Engineering Design Optimization; tension\_spring.

- [Mathematical Reasoning on GSM8k Tensor-2 (test)](<https://www.sota2.com/research/sota/mathematical-reasoning-on-gsm8k-tensor-2-test.md>): Mathematical Reasoning; GSM8k Tensor-2 (test).

- [Relighting on TensoIR (test)](<https://www.sota2.com/research/sota/relighting-on-tensoir-test.md>): Relighting; TensoIR (test).

- [Indirect Illumination Reconstruction on TensoIR-derived Indirect Illumination Dataset 1.0 (test)](<https://www.sota2.com/research/sota/indirect-illumination-reconstruction-on-tensoir-derived-indirect-illumination-dataset-1-0-test.md>): Indirect Illumination Reconstruction; TensoIR-derived Indirect Illumination Dataset 1.0 (test).

- [Spatio-temporal forecasting on Intensity-22 (3-day)](<https://www.sota2.com/research/sota/spatio-temporal-forecasting-on-intensity-22-3-day.md>): Spatio-temporal forecasting; Intensity-22 (3-day).

- [Contact Force Estimation on Tensioned String Tactile Sensor Dataset (test)](<https://www.sota2.com/research/sota/contact-force-estimation-on-tensioned-string-tactile-sensor-dataset-test.md>): Contact Force Estimation; Tensioned String Tactile Sensor Dataset (test).

- [Outfit Recommendation on Real fashion data utb-tensor](<https://www.sota2.com/research/sota/outfit-recommendation-on-real-fashion-data-utb-tensor.md>): Outfit Recommendation; Real fashion data utb-tensor.

- [Outfit Recommendation on Real fashion data utb-tensor (offline)](<https://www.sota2.com/research/sota/outfit-recommendation-on-real-fashion-data-utb-tensor-offline.md>): Outfit recommendation; Real fashion data utb-tensor (offline).

- [Tensor Compression on 6th-order synthetic tensors](<https://www.sota2.com/research/sota/tensor-compression-on-6th-order-synthetic-tensors.md>): Tensor Compression; 6th-order synthetic tensors.

- [Detection of LLM-generated text on M4 extension (Generation: Polish 4o-mini, Regeneration: Para 4o-mini)](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-polish-4o-mini-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension Generation: Polish 4o-mini, Regeneration: Para 4o-mini.

- [Detection of LLM-generated text on M4 extension Generation Revise 4.1 Regeneration Para 4o-mini](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-revise-4-1-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension Generation Revise 4.1 Regeneration Para 4o-mini.

- [Detection of LLM-generated text on M4 extension Generation: Revise 4o-mini, Regeneration: Para 4o-mini](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-revise-4o-mini-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension Generation: Revise 4o-mini, Regeneration: Para 4o-mini.

- [Detection of LLM-generated text on M4 extension Generation: Para Phi, Regeneration: Para 4o-mini](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-para-phi-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension Generation: Para Phi, Regeneration: Para 4o-mini.

- [Detection of LLM-generated text on M4 extension (Generation: Para Grok, Regeneration: Para 4o-mini)](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-para-grok-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension (Generation: Para Grok, Regeneration: Para 4o-mini).

- [Detection of LLM-generated text on M4 extension Generation Para DeepSeek Regeneration Para 4o-mini](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-para-deepseek-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension Generation Para DeepSeek Regeneration Para 4o-mini.

- [Detection of LLM-generated text on M4 extension Generation: Para 4.1, Regeneration: Para 4o-mini](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-extension-generation-para-4-1-regeneration-para-4o-mini.md>): Detection of LLM-generated text; M4 extension Generation: Para 4.1, Regeneration: Para 4o-mini.

- [Detection of LLM-generated text on M4 (Para 4o-mini Gen/Regen)](<https://www.sota2.com/research/sota/detection-of-llm-generated-text-on-m4-para-4o-mini-gen-regen.md>): Detection of LLM-generated text; M4 extension Generation: Para 4o-mini, Regeneration: Para 4o-mini.

- [Knowledge-intensive language tasks evaluation on Knowledge Intensive Tasks (test)](<https://www.sota2.com/research/sota/knowledge-intensive-language-tasks-evaluation-on-knowledge-intensive-tasks-test.md>): Knowledge-intensive language tasks evaluation; Knowledge Intensive Tasks (test).

- [Material Decomposition on TensorIR](<https://www.sota2.com/research/sota/material-decomposition-on-tensorir.md>): Material Decomposition; TensorIR.
