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1 to 10 of 308 Results
Mar 13, 2026 - Guochu XIONG
Wu, Ting; Long, Linbo; Ma, Zhulin; Yu, Qiushuang; Tian, Hang; Liu, Weichen, 2026, "Replication Data for: Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines", https://doi.org/10.21979/N9/BUO9DY, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper "Simulating CXL Shared Coherent Memory Using Shared Memory Among Virtual Machines"
Mar 2, 2026 - Guochu XIONG
Xiong, Guochu, 2026, "Replication Data for: Coherence-Aware Task Graph Modeling for Realistic Application", https://doi.org/10.21979/N9/PZIE8J, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper 'Coherence-Aware Task Graph Modeling for Realistic Application'.
Jan 30, 2026 - PREMANAND Rithwik
Jose, Justin; Premanand, Rithwik; Vishwakarma, Narendra; Madhukumar, A. S., 2026, "Replication Data for: Multi-Pair Full-Duplex D2D with RIS Partitioning: Performance Analysis and Optimization", https://doi.org/10.21979/N9/H1TOEE, DR-NTU (Data), V1
Replication Data for: Multi-Pair Full-Duplex D2D with RIS Partitioning: Performance Analysis and Optimization
Jan 30, 2026 - PREMANAND Rithwik
Premanand, Rithwik, 2026, "RIS-Enhanced Hybrid THz/RF Systems for 6G Networks Over Generalized Fading", https://doi.org/10.21979/N9/X310LF, DR-NTU (Data), V1
This dataset contains MATLAB simulation scripts and supporting functions for analyzing the performance of Reconfigurable Intelligent Surfaces (RIS)-assisted hybrid Terahertz (THz) and Radio Frequency (RF) communication systems operating over generalized fading channels. The simul...
PREMANAND Rithwik(Nanyang Technological University)
Jan 30, 2026
This Dataverse is an organized, long-term archive of the research outputs produced during my PhD at Nanyang Technological University (NTU). It curates the datasets, simulation code, experimental measurement files, figures, and supporting documentation underlying my work on RIS-as...
Jan 16, 2026 - Junqi ZHAO
Li, Miaoyu; Chao, Qin; Li, Boyang, 2025, "Replication Data for: Two Causally Related Needles in a Video Haystack", https://doi.org/10.21979/N9/WCSXMT, DR-NTU (Data), V2
Causal2Needles is a benchmark dataset and evaluation toolkit designed to assess the capabilities of both proprietary and open-source multimodal large language models in long-video understanding. It features a large number of "2-needle" questions, where the model must locate and r...
Dec 10, 2025 - Junqi ZHAO
Chinchure, Aditya; Ravi, Sahithya; Ng, Raymond; Shwartz, Vered; Li, Boyang; Sigal, Leonid, 2025, "Replication Data for: Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events", https://doi.org/10.21979/N9/HOAFUL, DR-NTU (Data), V1
BlackSwanSuite is a benchmark for evaluating VLMs’ ability to reason about unexpected events through abductive and defeasible tasks. The tasks either artificially limit the amount of visual information provided to models while questioning them about hidden unexpected events, or p...
Dec 10, 2025 - Junqi ZHAO
Zhang, Wenyu; Ng, Wei En; Ma, Lixin; Wang, Yuwen; Zhao, Junqi; Koenecke, Allison; Li, Boyang; Wang, Lu, 2025, "Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models", https://doi.org/10.21979/N9/HI9OFD, DR-NTU (Data), V2
SPHERE (Spatial Perception and Hierarchical Evaluation of Reasoning) is a hierarchical evaluation framework built on a new human-annotated dataset of 2,285 question–answer pairs. It systematically probes models across increasing levels of complexity, from fundamental skills to mu...
Dec 10, 2025 - Junqi ZHAO
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...
Junqi ZHAO(Nanyang Technological University)
Dec 10, 2025
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