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• LLMs Among Us: Generative AI Participating in Digital Discourse

  Kristina Radivojevic, Nicholas Clark, Paul Brenner

  209-218

  2024-05-20

• K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries

  Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur

  219-226

  2024-05-20

• Causal Event Graph-Guided Language-based Spatiotemporal Question Answering

  Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, Amit Sheth

  227-233

  2024-05-20

• Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis

  Sagar Srinivas Sakhinana, Geethan Sannidhi, Venkataramana Runkana

  234-242

  2024-05-20

• A Framework for Enhancing Behavioral Science Research with Human-Guided Language Models

  Jaelle Scheuerman, Dina Acklin

  243-247

  2024-05-20

• What Can Computers Do Now? Dreyfus Revisited for the Third Wave of Artificial Intelligence

  Ben Schuering, Thomas Schmid

  248-252

  2024-05-20

• Advancing Ontology Alignment in the Labor Market: Combining Large Language Models with Domain Knowledge

  Lucas L. Snijder, Quirine T. S. Smit, Maaike H. T. de Boer

  253-262

  2024-05-20

• Faithful Reasoning over Scientific Claims

  Neşet Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock

  263-272

  2024-05-20

• Retrieval-Augmented Generation and LLM Agents for Biomimicry Design Solutions

  Christopher Toukmaji, Allison Tee

  273-278

  2024-05-20

• Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge

  Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit Sheth

  279-286

  2024-05-20

• Building Communication Efficient Asynchronous Peer-to-Peer Federated LLMs with Blockchain

  Sree Bhargavi Balija, Amitash Nanda, Debashis Sahoo

  288-292

  2024-05-20

• Is Federated Learning Still Alive in the Foundation Model Era?

  Nathalie Baracaldo

  293-293

  2024-05-20

• Advancing Federated Learning by Addressing Data and System Heterogeneity

  Yiran Chen

  294-294

  2024-05-20

• Operational Environments at the Extreme Tactical Edge

  Mark J. Gerken

  295-295

  2024-05-20

• Confluence of Random Walks, Interacting Particle Systems, and Distributed Machine Learning: Federated Learning through Crawling over Networks

  Seyyedali Hosseinalipour

  296-296

  2024-05-20

• Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems

  Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram

  297-303

  2024-05-20

• Framework for Federated Learning and Edge Deployment of Real-Time Reinforcement Learning Decision Engine on Software Defined Radio

  Jithin Jagannath

  304-304

  2024-05-20

• Resource-aware Federated Data Analytics in Edge-Enabled IoT Systems

  Hana Khamfroush

  305-305

  2024-05-20

• Towards Fault-Tolerant Federated and Distributed Machine Learning

  Sanmi Koyejo

  306-306

  2024-05-20

• Federated Learning of Things - Expanding the Heterogeneity in Federated Learning

  Scott Kuzdeba

  307-307

  2024-05-20

• Towards Robust Multi-Agent Reinforcement Learning

  Aritra Mitra

  308-308

  2024-05-20

• Adaptive Federated Learning for Automatic Modulation Classification Under Class and Noise Imbalance

  Jose Angel Sanchez Viloria, Dimitris Stripelis, Panos P. Markopoulos, George Sklivanitis, Dimitris A. Pados

  309-309

  2024-05-20

• Now It Sounds Like You: Learning Personalized Vocabulary On Device

  Ashish Shenoy, Sid Wang, Pierce Chuang, John Nguyen

  310-315

  2024-05-20

• You Can Have Your Cake and Eat It Too: Ensuring Practical Robustness and Privacy in Federated Learning

  Nojan Sheybani, Farinaz Koushanfar

  316-316

  2024-05-20

• Advancing Neuro-Inspired Lifelong Learning for Edge with Co-Design

  Nicholas Soures, Vedant Karia, Dhireesha Kudithipudi

  317-317

  2024-05-20