Scientific Communication

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Scientific communication examines how research findings are shaped for readers, from scholarly papers and statistical reports to science news, talks, figures, and translations. Methods include discourse and citation analysis, reader studies, multilingual corpora, and AI systems for summarization, editing, presentation, and claim checking. Current work increasingly evaluates whether communication supports learning, accessibility, and reproducibility, while studying how AI changes scientific language and audience experience. A central tension is how to use automation and audience adaptation without distorting certainty, weakening evidence, or excluding language communities.

Latest papers

50 papers4 papers in the last four weeks, down 60% on the four weeks before. 0.0% of all new papers.

CollabSciReM: Aligning Language Models for Scientific Conversations via Science-Aware Reward Decomposition
Oct 20, 2026Sasi Kiran Gaddipati, Gollam Rabby, Sören AuerLLM Alignment Reward Modeling
TIB—Leibniz Information Centre for Science and Technology, Hannover, Germany · L3S Research Center, Hannover, Germany
Accelerated Drift of Scientific Prose in the LLM Era: Evidence from an Interrupted Time-Series Analysis
Oct 19, 2026Hanna Hubarava, Benjamin V. IneichenScientific Communication AI-Assisted Scientific Research
Department of Clinical Research Department of Digital Medicine University of Bern, Switzerland
Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science
Oct 9, 2026David M. MarkowitzScientific Communication
Associate Professor, Department of Communication, Michigan State University, East Lansing, MI USA
Does AI-Generated Scientific Text Follow Human Argumentation Patterns? A CARS-Based Comparison of Research Article Introductions
Oct 1, 2026Abdelrahman Sadallah, Narjes Sheikh Asadi, Lonneke van der PlasScientific Communication Text Generation
Università della Svizzera italiana (USI)
Beyond Natural Language: An Agent-Native Language for Autonomous Science
Sep 21, 2026Yifeng He, Jiachen LiuAI for Science Scientific Communication
ARA Lab
Social Influence and the Allocation of Scientific Attention in AI Populations
Sep 18, 2026Maxim ChupilkinScientific Communication Computational Social Science
Department of Politics and International Relations University of Oxford
Tracing individual knowledge trajectories in a changing field: the case of general relativity and gravitation
Sep 16, 2026Raphael Schlattmann, Malte VoglHistorical Document Analysis Scientific Communication
Technische Universität Berlin, Berlin, Germany · Berlin-Brandenburgische Akademie der Wissenschaften, Berlin, Germany
What Limits Us? Analyzing Self-Reported Limitations in NLP Research
Sep 14, 2026Tawan Thaepprasit, Peeranuth Kehasukcharoen, Ding Wang +3Scientific Communication
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Thailand · Google Research
How broad is that claim? Mapping Generalisation in NLP Research
Sep 13, 2026Chenxin Diao, Nataliya Stepanova, Emily AllawayScientific Communication Text Classification
School of Informatics, University of Edinburgh
SlideLab: Audience-Centered Scientific Slide Generation and Evaluation
Sep 13, 2026Vidushee Vats, Karun Sharma, Yuxia WangScientific Communication Evidence-Grounded Generation
INSAIT, Sofia University “St. Kliment Ohridski”
CRITICS - Critical Science Without Borders: Language Models to Promote Critical Thinking in Science Education
Sep 12, 2026Rodrigo Agerri, Itziar Aldabe, Elena Cabrio +10Educational Feedback Generation Science Education
HiTZ Center - Ixa, University of the Basque Country EHU · Université Côte d’Azur, Inria, CNRS, I3S, France · Centre for Artificial Intelligence, ZHAW School of Engineering +2
Positioning manuscripts in the scientific landscape with agentic AI
Sep 12, 2026Jiawen Chen, Zichen Zhang, Bingxuan Li +7Scientific Communication Agentic RAG
Department of Statistics and Data Science, University of Pennsylvania · Department of Computer Science, University of Illinois at Urbana-Champaign · Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia +7
An LLM-Associated Register Shift in Korean Journal Abstracts: A Morphology-Aware Excess-Vocabulary Study, 2018-2026
Sep 7, 2026Aron LeeAI-Generated Text Detection Scientific Communication
INTFRAME Research
CWF: A Collaborative Writing Framework for Personalized and Reliable Popular Science Writing
Sep 5, 2026Ruibiao Fu, Di Tang, Yunlong Yang +7Scientific Communication Evidence-Grounded Generation
School of Journalism and Information Communication, Huazhong University of Science and Technology, Wuhan 430074, China · Philosophy and Social Sciences Laboratory of Big Data and National Communication Strategy, Ministry of Education, Wuhan 430074, China · The National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Provenance Before Prose: Claim-Locked Reporting for Statistical Text Generation
Aug 26, 2026Xiao Fan, Jingyuan Li, Hongbin Guo +2Evidence-Grounded Generation Scientific Communication
Xidian University
Expectations and Practices around AI Disclosure in CS Research
Aug 24, 2026Arati Mohapatra, Danish PruthiAI Use Disclosure AI Governance
Indian Institute of Science Bengaluru, KA, India
GenGA: Editable and Data-Grounded Graphical Abstract Generation for Academic Papers
Aug 5, 2026Takuro Kawada, Shunsuke Kitada, Hitoshi IyatomiVector Graphics Generation Scientific Communication
Hosei University · Tokyo, Japan
A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries
Jul 28, 2026Kyuri Im, Michael FärberLLM-Assisted Annotation Scientific Communication
ScaDS.AI, Technische Universität Dresden, Dresden, Germany
Eleven Years of BRACIS: A Meta-Scientific Study of the Brazilian Conference on Intelligent Systems
Jul 26, 2026Thales Sales Almeida, Giovana Kerche Bonás, Thiago Laitz +7Scientific Communication
Tropic AI · Maritaca AI
A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communication
Jul 6, 2026Avina Nakarmi, Sohom Sen, Xun Song +2Multimodal Grounding Scientific Communication
Department of Data Science New Jersey Institute of Technology · Department of Electrical & Computer Engineering New Jersey Institute of Technology · Department of Computer Science New Jersey Institute of Technology +1
The Future of NLP may not be at NLP Conferences: Scholarly Migration Patterns in Natural Language Processing
Jul 2, 2026David JurgensScientific Communication Bibliometric Analysis
School of Information, University of Michigan
Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
Jun 29, 2026M. K. ArabovMultilingual Language Models Arabic NLP
Kazan Federal University, Institute of Computational Mathematics and Information Technologies, Department of Data Analysis, Kazan, Russia
A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks
Jun 26, 2026Ishani Mondal, Aparna Garimella, Ananya Sai +2T2V Generation Scientific Communication
University of Maryland, College Park · Adobe Research
War in the Abstract: The Rise and Consequences of Militarized Language in Scientific Communication
Jun 22, 2026Sovesh Mohapatra, David Lydon-Staley, Dani S. BassettScientific Communication
Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, PA, USA · Annenberg School of Communication, University of Pennsylvania, PA, USA · Departments of Electrical & Systems Engineering and Physics & Astronomy, University of Pennsylvania, PA, USA +2
Agentic Publication Protocol: An Attempt to Modernize Scientific Publication
Jun 15, 2026Sirui Lu, Xiao-Liang QiAI-Assisted Scientific Research Scientific Communication
1Max-Planck-Institut für Quantenoptik, Garching, Germany · 2Munich Center for Quantum Science and Technology (MCQST), Schellingstrasse 4, D-80799 München, Germany · 3Leinweber Institute for Theoretical Physics, Stanford University, Stanford, CA, USA
Detection and Interpretability Analysis of Quotation Errors by Large Language Models
Jun 7, 2026Bei Huang, Yingyi Zhang, Shenghao Huang +1Scientific Communication
School of Social Science, Soochow University, Soochow, China · School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China
Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
Jun 6, 2026Wisdom DogahData Provenance Scholarly Peer Review
Faculty of Computing and Mathematical Sciences, University of Mines and Technology (UMaT), Tarkwa, Ghana. · BlackMatrix AI Research, Accra, Ghana.
From 'May' to 'Is': Certainty Distortion in Language Model Rewriting
Jun 6, 2026Catarina G Belem, Shang Wu, Hongyu Yao +3Scientific Communication Language Model Calibration
Department of Computer Science, University of California Irvine · Massachusetts Institute of Technology · Department of Cognitive Science, University of California Irvine
KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning
May 29, 2026Dominik Soós, Meng Jiang, Jian WuEducational Assessment Scientific Communication
Old Dominion University Norfolk, Virginia, USA · University of Notre Dame Notre Dame, Indiana, USA
Crafter: A Multi-Agent Harness for Editable Scientific Figure Generation from Diverse Inputs
May 28, 2026Haozhe Zhao, Shuzheng Si, Zhenhailong Wang +6Scientific Communication
University of Illinois at Urbana-Champaign · Tsinghua University · Peking University

Oct 20, 2026J/K move · Enter open · S save

CollabSciReM: Aligning Language Models for Scientific Conversations via Science-Aware Reward Decomposition

Sasi Kiran Gaddipati, Gollam Rabby, Sören Auer

TIB—Leibniz Information Centre for Science and Technology, Hannover, Germany · L3S Research Center, Hannover, Germany

LLM Alignment Reward Modeling Scientific Reasoning in Language Models Multi-Turn Language Model Reasoning Scientific Communication

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Large Language Models (LLMs) are increasingly used as research collaborators for hypothesis refinement, methodological planning, and technical analysis across multi-turn interactions. In this setting, a useful assistant must be accurate, methodologically justified, logically consistent, and token-efficient. Current alignment approaches rarely achieve all of these together. Instruction-tuned models gain conversational quality through verbosity, and we show that science-agnostic general collaborative rewards compress responses at the expense of scientific rigor. We propose CollabSciReM, a goal-conditioned reward framework that decomposes the session-level reward into conversational quality, scientific rigor, and structural efficiency. We also introduce SciQuality, a pairwise evaluation of multi-turn research conversations grounded in 300 held-out scientific papers and scored on six dimensions: methodological soundness, justification, logical consistency, factual correctness, novelty, and responsiveness. Fine-tuned on 8.62K synthetic research conversations, CollabSciReM is preferred on SciQuality over a science-agnostic reward baseline trained on the same data for all four Llama and Qwen models, including a 65.3% win rate at matched response length. For the 7B and 8B models, CollabSciReM outperforms the science-agnostic reward baseline on the primary metric in 8 of 10 single- and multi-turn benchmark settings. In a blind study, domain experts rated CollabSciReM significantly higher on novelty than the general-reward variant and reported fewer hallucinated responses than both the general-reward variant and the base model.