:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhukova, Anastasia, Ruas, Terry, Wahle, Jan Philip, Gipp, Bela
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2603.00621
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Paraphrase Types for Generation and Detection
by: Wahle, Jan Philip, et al.
Published: (2023)

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
by: Wahle, Jan Philip, et al.
Published: (2022)

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
by: Becker, Jonas, et al.
Published: (2024)

Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains
by: Schmidt, Finn, et al.
Published: (2026)

Paraphrase Types Elicit Prompt Engineering Capabilities
by: Wahle, Jan Philip, et al.
Published: (2024)

What's under the hood: Investigating Automatic Metrics on Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

How Large Language Models are Transforming Machine-Paraphrased Plagiarism
by: Wahle, Jan Philip, et al.
Published: (2022)

Diverse Word Choices, Same Reference: Annotating Lexically-Rich Cross-Document Coreference
by: Zhukova, Anastasia, et al.
Published: (2026)

Towards Human Understanding of Paraphrase Types in Large Language Models
by: Meier, Dominik, et al.
Published: (2024)

CiteAssist: A System for Automated Preprint Citation and BibTeX Generation
by: Kaesberg, Lars Benedikt, et al.
Published: (2024)

SPaRC: A Spatial Pathfinding Reasoning Challenge
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)

What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)
by: Zhukova, Anastasia, et al.
Published: (2025)

Big Tech-Funded AI Papers Have Higher Citation Impact, Greater Insularity, and Larger Recency Bias
by: Gnewuch, Max Martin, et al.
Published: (2025)

You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with a Multi-Agent Conversations
by: Kirstein, Frederic, et al.
Published: (2025)

TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
by: Meier, Dominik, et al.
Published: (2025)

Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language
by: Zhukova, Anastasia, et al.
Published: (2024)

We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
by: Wahle, Jan Philip, et al.
Published: (2023)

Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields
by: Wahle, Jan Philip, et al.
Published: (2024)

Voting or Consensus? Decision-Making in Multi-Agent Debate
by: Kaesberg, Lars Benedikt, et al.
Published: (2025)

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
by: Wahle, Jan Philip, et al.
Published: (2021)

Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym
by: Kaesberg, Lars Benedikt, et al.
Published: (2026)

Stay Focused: Problem Drift in Multi-Agent Debate
by: Becker, Jonas, et al.
Published: (2025)

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator
by: Kirstein, Frederic, et al.
Published: (2024)

What's Wrong? Refining Meeting Summaries with LLM Feedback
by: Kirstein, Frederic, et al.
Published: (2024)

Efficient Domain-adaptive Continual Pretraining for the Process Industry in the German Language
by: Zhukova, Anastasia, et al.
Published: (2025)

MALLM: Multi-Agent Large Language Models Framework
by: Becker, Jonas, et al.
Published: (2025)

Overview of the Plagiarism Detection Task at PAN 2025
by: Greiner-Petter, André, et al.
Published: (2025)

MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
by: Horych, Tomáš, et al.
Published: (2024)

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
by: Kirstein, Frederic, et al.
Published: (2025)

Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science
by: Wahle, Jan Philip, et al.
Published: (2025)

Link Prediction for Event Logs in the Process Industry
by: Zhukova, Anastasia, et al.
Published: (2025)

Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
by: Zhukova, Anastasia, et al.
Published: (2025)

The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
by: Horych, Tomas, et al.
Published: (2024)

Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications
by: Zhukova, Anastasia, et al.
Published: (2023)

The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
by: Spinde, Timo, et al.
Published: (2023)

ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents
by: Yang, Tianyu, et al.
Published: (2025)

DimStance: Multilingual Datasets for Dimensional Stance Analysis
by: Becker, Jonas, et al.
Published: (2026)

Multi-Agent Reasoning Improves Compute Efficiency: Pareto-Optimal Test-Time Scaling
by: Wunderlich, Florian Valentin, et al.
Published: (2026)