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Constrained C-Test Generation via Mixed-Integer Programming (Supplementary Ma...
This work proposes a novel method to generate C-Tests; a deviated form of cloze tests (a gap filling exercise) where only the last part of a word is turned into a gap. In... -
TexPrax
Dataset collected and annotated in the project TexPrax -
Common Vulnerability Scoring System Prediction Based on Open Source Intellige...
This repository contains the dataset used to train BERT-based models based on open information sources. We aimed to build a more robust model to predict the Common Vulnerability... -
AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Pred...
Deep learning models play a crucial role in improving driver assistance systems and environmental perception. However, their tendency toward overconfident predictions poses... -
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for U...
Dataset resource released as part of our ACL 2024 paper "SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability... -
SLTrans
The dataset consists of source code and LLVM IR pairs generated from accepted and de-duped programming contest solutions. The dataset is divided into language configs and mode... -
Document Structure in Long Document Transformers
This repository contains the code and data for the paper "Document Structure in Long Document Transformers", accepted at EACL 2024. Please see README.md for more information. -
Outputs for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Thr...
Raw responses from the models, clean answers, post-processed predictions and evaluation results for each model and dataset using in the publication Fine-Tuning with Divergent... -
LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Though...
LLaMA-2 70B Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models -
Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Bo...
Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models -
LLaMA-2 13B-Chat Model checkpoints for Fine-Tuning with Divergent Chains of T...
LLaMA-2 13B-Chat Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models -
Phi-2 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boos...
Phi-2 Model checkpoints for the paper Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models -
LLaMA-2 13B Model checkpoints for Fine-Tuning with Divergent Chains of Though...
LLaMA-2 13B Model checkpoints for the paper Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models -
LLaMA-2 7B Model checkpoints for Fine-Tuning with Divergent Chains of Thought...
LLaMA-2 7B Model checkpoints for the paper Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models -
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... -
Evidence - Computer-assisted Interactive Extraction of Dictionary Examples fr...
Anonymized models from the expert and lay-user studies conducted in the project Evidence. Each model was train for 50-60 iterations on a specific word class (adjective, verb,... -
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Rev...
A dataset of aligned scientific paper revisions manually labeled according to their action and intent, and supplemented with the respective peer reviews and human-written edit... -
Dynamic Direct LiDAR Odometry - Kantplatz dataset
Dataset mentioned in the Dynamic Direct LiDAR Odometry paper. It contains a sequence recorded near the campus of TU Damstadt. Urban scene, many dynamic objects: Pedestrians,... -
5Pils dataset
The 5Pils dataset accompanies the paper "'Image, tell me your story!' Predicting the original meta-context of visual misinformation". The dataset contains the meta-context... -
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...
