20 results for “science communication”
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This paper investigates how PhD students in software engineering perceive and navigate science communication, revealing motivations, communication channels, and barriers.
The paper introduces KnowledgeGain, a novel metric that measures the actual knowledge gained by readers from science news, and demonstrates its use in optimizing news generation to improve reader lear…
Jia Liu, Veena Krishnaraj, Kateryna Vovk, Kosuke Aizawa +17 more
This paper investigates the ability of large language models to assist in scientific project planning and proposal evaluation, finding that human reviewers rate human- and AI-written proposals similar…
This survey provides a comprehensive analysis of Reasoning Language Model (RLM) adoption across 28 scientific disciplines, revealing significant disparities in RLM maturity across different scientific…
This paper proposes a framework for compositional semantic communication (CSC) in physical AI systems, enabling heterogeneous devices to transmit semantic representations that compose meaningfully at…
The paper introduces ProjectionBench, a novel benchmark that progressively discloses information to evaluate LLMs' ability to generate scientific hypotheses, demonstrating that advanced models like GP…
This paper introduces Selective Field Transmission (SFT), a mechanism that dynamically adapts transmitted message components to each receiver's needs in publish-subscribe systems, achieving significan…
The paper proposes a steganographic mechanism, analogous to genetic inheritance, to track the lineage of synthetic information within a cyber ecosystem.
The paper proposes Multi-Order Communication (MOC) to overcome the limitations of standard first-order message passing in LLM-based multi-agent systems, significantly improving performance by capturin…
Xinghao Guo, Yin Xu, Dazhi He, Hanjiang Hong +4 more
This paper proposes a spatial semantic communication (SSC) system using fluid antenna-index modulation (FA-IM) technology, which synergizes residual quantization (RQ) and IM for efficient semantic tra…
Zhe Zhao, Haibin Wen, Yingcheng Wu, Jiaming Ma +9 more
The paper introduces Science Earth, a planet-scale scientific runtime that enables diverse, siloed AI capabilities to connect and collaborate dynamically, demonstrating that scientific discovery can b…
The paper proposes DySCo, a dynamic trust-aware sparse consensus mechanism, to efficiently manage communication in multi-agent LLM systems by selectively connecting agents based on real-time value, th…
Shashwat Sourav, Tanjin. He, Maria K. Y. Chan, Anubhav Jain +1 more
The paper introduces 'Matter to Mechanism,' a novel benchmark designed to rigorously evaluate AI co-scientists' ability to generate plausible, mechanism-grounded solution hypotheses for complex materi…
This paper analyzes top-tier cybersecurity papers to find evidence of generative AI's influence, finding a post-2022 increase in AI-associated marker words and a general drift toward higher lexical co…
Przemyslaw Biecek, Luca Longo, Jianlong Zhou, Thomas Fel +2 more
The paper advocates for the establishment of Model Science, a systematic discipline that moves beyond simple benchmarking to deeply analyze AI models' internal workings and failure modes.
This paper examines how ChatGPT is framed in educational YouTube videos and investigates the relationship between framings and audience response, using multimodal metadata and Epistemic Network Analys…
Rajesh Jayaram, Drew Tyler, David Woodruff, Corinna Cortes +3 more
The paper proposes a taxonomy for AI-human collaboration in scientific evaluation and introduces the Paper Assistant Tool (PAT) to accelerate verification and review process in scientific research.