Copertina

Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wahle, Jan Philip, Ruas, Terry, Abdalla, Mohamed, Gipp, Bela, Mohammad, Saif M.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Digital Libraries Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

Is there really a Citation Age Bias in NLP?
di: Nguyen, Hoa, et al.
Pubblicazione: (2024)

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

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

Piecing Together Cross-Document Coreference Resolution Datasets: Systematic Dataset Analysis and Unification
di: Zhukova, Anastasia, et al.
Pubblicazione: (2026)

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

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

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

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

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

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

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
di: Lan, Jiayin, et al.
Pubblicazione: (2025)

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

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

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

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
di: Li, Xiangyu, et al.
Pubblicazione: (2025)

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

CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
di: Obadage, Rochana R., et al.
Pubblicazione: (2025)

Improving Citation Text Generation: Overcoming Limitations in Length Control
di: Mandal, Biswadip, et al.
Pubblicazione: (2024)

Semantically Orthogonal Framework for Citation Classification: Disentangling Intent and Content
di: Duan, Changxu, et al.
Pubblicazione: (2026)

Overview of SCIDOCA 2025 Shared Task on Citation Prediction, Discovery, and Placement
di: Dao, An, et al.
Pubblicazione: (2025)

BibTeX Citation Hallucinations in Scientific Publishing Agents: Evaluation and Mitigation
di: Rao, Delip, et al.
Pubblicazione: (2026)

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

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research
di: Abdalla, Mohamed, et al.
Pubblicazione: (2023)

Digging Up Citations: FOSSIL, a Dataset and Workflow for Reference Extraction in Law and the Humanities
di: Foppiano, Luca, et al.
Pubblicazione: (2026)

SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature
di: Ding, Hang, et al.
Pubblicazione: (2025)

SemanticCite: Citation Verification with AI-Powered Full-Text Analysis and Evidence-Based Reasoning
di: Haan, Sebastian
Pubblicazione: (2025)

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

Sentiment Analysis of Citations in Scientific Articles Using ChatGPT: Identifying Potential Biases and Conflicts of Interest
di: Hariri, Walid
Pubblicazione: (2024)

Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs
di: Koloveas, Paris, et al.
Pubblicazione: (2025)

Citation Grounding: Detecting and Reducing LLM Citation Hallucinations via Legal Citation Graphs
di: Ovcharov, Volodymyr
Pubblicazione: (2026)

Hybrid X-Linker: Automated Data Generation and Extreme Multi-label Ranking for Biomedical Entity Linking
di: Ruas, Pedro, et al.
Pubblicazione: (2024)

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

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

SciNLP: A Domain-Specific Benchmark for Full-Text Scientific Entity and Relation Extraction in NLP
di: Duan, Decheng, et al.
Pubblicazione: (2025)

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