TUdatalib : Browsing 20 Fachbereich Informatik by Title

On emergence

Lu, Sheng; Bigoulaeva, Irina; Sachdeva, Rachneet; Tayyar Madabushi, Harish; Gurevych, Iryna (2023-08)

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas [Data Set]

Biselli, Tom; Steinbrink, Enno; Herbert, Franziska; Schmidbauer-Wolf, Gina-Maria; Reuter, Christian (2021)

This repository contains the survey data set and the script for the statistical analysis aiming at identifying privacy personas. Please cite the original paper when using this data: "Biselli, T., Steinbrink, E., Herbert, ...

Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic

Beck, Tilman; Lee, Ji-Ung; Viehmann, Christina; Maurer, Marcus; Quiring, Oliver; Gurevych, Iryna (2021-08)

Opposing Arguments in Persuasive Essays

Stab, Christian; Gurevych, Iryna (2016)

Outputs for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)

Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources

Flekova, Lucie; Gurevych, Iryna (2015)

Perspective Argument Retrieval

Falk, Neele; Waldis, Andreas; Gurevych, Iryna (2024)

Phi 1.5 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)

Phi-2 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Puerto, Haritz; Chubakov, Tilek; Zhu, Xiaodan; Tayyar Madabushi, Harish; Gurevych, Iryna (2024-06)

SciLead Dataset (Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards)

Sahinuc, Furkan; Tran, Thy Thy; Grishina, Yulia; Hou, Yufang; Chen, Bei; Gurevych, Iryna (2024-09-12)

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Araslanov, Nikita; Roth, Stefan (2021-06)

Sense Similarity

Erbs, Nicolai; Gurevych, Iryna; Zesch, Torsten (2014)

Browsing 20 Fachbereich Informatik by Title

On emergence

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas [Data Set]

Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic

Opposing Arguments in Persuasive Essays

Outputs for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources

Perspective Argument Retrieval

Phi 1.5 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 Boosts Reasoning Through Self-Correction in Language Models

Pose Prediction for Mobile Ground Robots Evaluation Dataset

Predictive Whittle Networks for Time Series

Quality Flaw Prediction in Wikipedia

Re-rating Studies

Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision

Relation Classification

The Role of Linguistics in Probing Task Design

RWSE Wikipedia Revision Dataset

SciLead Dataset (Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards)

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Sense Similarity

Browsing 20 Fachbereich Informatik by Title

On emergence ﻿

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas [Data Set] ﻿

Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic ﻿

Opposing Arguments in Persuasive Essays ﻿

Outputs for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models ﻿

Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources ﻿

Perspective Argument Retrieval ﻿

Phi 1.5 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 Boosts Reasoning Through Self-Correction in Language Models ﻿

Pose Prediction for Mobile Ground Robots Evaluation Dataset ﻿

Predictive Whittle Networks for Time Series ﻿

Quality Flaw Prediction in Wikipedia ﻿

Re-rating Studies ﻿

Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision ﻿

Relation Classification ﻿

The Role of Linguistics in Probing Task Design ﻿

RWSE Wikipedia Revision Dataset ﻿

SciLead Dataset (Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards) ﻿

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation ﻿

Sense Similarity ﻿

On emergence

On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas [Data Set]

Opinion Mining Corpus on German Tweets about the Covid-19 Pandemic

Opposing Arguments in Persuasive Essays

Outputs for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models

Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources

Perspective Argument Retrieval

Phi 1.5 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 Boosts Reasoning Through Self-Correction in Language Models

Pose Prediction for Mobile Ground Robots Evaluation Dataset

Predictive Whittle Networks for Time Series

Quality Flaw Prediction in Wikipedia

Re-rating Studies

Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision

Relation Classification

The Role of Linguistics in Probing Task Design

RWSE Wikipedia Revision Dataset

SciLead Dataset (Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards)

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation

Sense Similarity