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Towards Real-World Fact-Checking with Large Language Models.
Misinformation poses a growing threat to our society. It has a severe impact on public health by promoting fake cures or vaccine hesitancy, and it is used as a weapon during... -
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversaria...
In this paper, we propose LiOn-XA, an unsupervised domain adaptation (UDA) approach that combines LiDAR-Only Cross-Modal (X) learning with Adversarial training for 3D LiDAR... -
SciLead Dataset (Efficient Performance Tracking: Leveraging Large Language Mo...
The components of this dataset are used in the experiments of the paper "Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of... -
Perspective Argument Retrieval
This dataset covers all three evaluation cycles of the first shared task on Perspective Argument Retrieval, including all labels. Potential Measurements to Counter Negative... -
FEDI Dataset
FEDI is the first task-oriented document-grounded dialogue dataset for learning from demographic information, user emotions and implicit user feedback. In its current version,... -
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text...
The Lou dataset provides gender-fair reformulations for instances from seven German classification tasks. It is intended for non-commercial use, and research is licensed under... -
Few-Shot-150T (FS150T) Corpus
The Few-Shot-150T Corpus includes 21,600 sentences over 150 controversial topics. Each sentence was annotated via crowdsourcing as either a supporting argument, an attacking... -
Are Large Language Models Good Classifiers? A Study on Edit Intent Classifica...
Re3-Sci2.0, a new large-scale dataset of 1,780 scientific document revisions with over 94k labeled edits intent. This dataset is a supplement to the EMNLP24 paper: Are Large... -
Systematic Task Exploration with LLMs: A Study in Citation Text Generation
The components of this dataset are used in the experiments of the paper "Systematic Task Exploration with LLMs: A Study in Citation Text Generation" published at main conference... -
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversaria...
In this paper, we propose LiOn-XA, an unsupervised domain adaptation (UDA) approach that combines LiDAR-Only Cross-Modal (X) learning with Adversarial training for 3D LiDAR... -
A Qualitative Investigation of User Transitions and Frictions in Cross-Realit...
transcripts of the audio from the recordings of users interacting with the cross reality apparatus. With added transition indicators. For more details see readme file -
Podoportation - dataset
Data recorded during the experiment. For additional information see the readme file within. -
DensingQueen - dataset
Dataset of the paper "DensingQueen: Exploration Methods for Spatial Dense Dynamic Data". For more information see the readme file. -
Attribute or Abstain: Large Language Models as Long Document Assistants
This folder contains data to run experiments on LAB, the Long document Attribution Benchmark introduced in "Attribute or Abstain: Large Language Models as Long Document... -
Geovisuelle Ansätze zur Analyse von Raum-Zeit-Zusammenhängen in urbanen Anwen...
Bei diesem Datensatz handelt es sich um die ergänzenden, qualitativen und quantitativen Forschungsdaten der Dissertation „Geovisuelle Ansätze zur Analyse von... -
Real-world misleading visualizations QA dataset
The real-world misleading visualization QA dataset accompanies the paper "'Protecting multimodal large language models againts misleading visualizations". The dataset contains... -
NLPEER: A Unified Resource for the Computational Study of Peer Review
Dataset of peer review reports and paper drafts from diverse domains and venues. We provide multiple versions of the dataset; when in doubt, download the newest version. You can... -
Measurement series of smartphone experiments for recognizing AR markers in th...
In December 2024, experiments were carried out in the Mont Terri underground laboratory in Switzerland as part of the Master's thesis by Ole Woock. The experiments aimed to... -
Scene-Centric Unsupervised Panoptic Segmentation
Unsupervised panoptic segmentation aims to partition an image into semantically meaningful regions and distinct object instances without training on manually annotated data. In... -
ARR Data Collection Initiative 2024
Dataset of peer review reports, meta-reviews, reviewer-author discussions, and paper drafts collected from ACL Rolling Review within the context of the new data collection...
