Junqi ZHAO

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791 to 800 of 802 Results

prepare_parquet.py Dec 10, 2025 - Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models Python Source Code - 1.1 KB - MD5: be6cc43459c395092bedec002122cb7c
README.md Dec 10, 2025 - Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models Markdown Text - 6.8 KB - MD5: 056581180352a3b0066a30384177affa Documentation
size_only.parquet Dec 10, 2025 - Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models Unknown - 9.7 MB - MD5: 4f92f265e202534071ce255be532ef94
Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases Dec 10, 2025 Tiong, Anthony Meng Huat; Zhao, Junqi; Li, Boyang; Li, Junnan; Hoi, Steven C.H.; Xiong, Caiming, 2025, "Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases", https://doi.org/10.21979/N9/SL0VV1, DR-NTU (Data), V1 The OLIVE dataset is a highly diverse, human-corrected multi-modal collection designed to simulate the variety and idiosyncrasies of user queries vision-language models (VLMs) face in real-world scenarios. It supports the training and evaluation of VLMs in conditions that more cl...
olive_test_v1.0.json Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases JSON - 16.0 MB - MD5: fee1650812796db2c2cc9ff327265699
olive_test_v2.0.json Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases JSON - 20.1 MB - MD5: 2c512dc2b32605935cefe114816f349c
olive_train.json Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases JSON - 4.0 MB - MD5: 4194ad7f1a9c647064918b6a9c147a3a
olive_val.json Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases JSON - 4.0 MB - MD5: 75560dac21c1a292322abbbee0ad3b46
README.txt Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases Plain Text - 991 B - MD5: d002b0243142e9e6343d8bf40102497c Documentation
test.zip Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases ZIP Archive - 290.6 MB - MD5: ceffa4a09f0c6249822c969cc0df2708

prepare_parquet.py

Dec 10, 2025 - Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models

Python Source Code - 1.1 KB -

README.md

Dec 10, 2025 - Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models

Markdown Text - 6.8 KB -

Documentation

size_only.parquet

Dec 10, 2025 - Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models

Unknown - 9.7 MB -

Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases

Dec 10, 2025

Tiong, Anthony Meng Huat; Zhao, Junqi; Li, Boyang; Li, Junnan; Hoi, Steven C.H.; Xiong, Caiming, 2025, "Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases", https://doi.org/10.21979/N9/SL0VV1, DR-NTU (Data), V1

The OLIVE dataset is a highly diverse, human-corrected multi-modal collection designed to simulate the variety and idiosyncrasies of user queries vision-language models (VLMs) face in real-world scenarios. It supports the training and evaluation of VLMs in conditions that more cl...

olive_test_v1.0.json

Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases

JSON - 16.0 MB -

olive_test_v2.0.json

Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases

JSON - 20.1 MB -

olive_train.json

Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases

JSON - 4.0 MB -

olive_val.json

Dec 10, 2025 - Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases

JSON - 4.0 MB -