| { | |
| "Q/A":[ | |
| { | |
| "dataset": "data0.json", | |
| "question": "Who contribute to the publication of \"Search and Rescue on the Line\"", | |
| "answer": [ | |
| "J Coleman", | |
| "L Cheng", | |
| "B Krishnamachari" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Which year is \"Search and Rescue on the Line\" published>", | |
| "answer": [ | |
| "2023" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Give me the link to \"Search and Rescue on the Line\"", | |
| "answer": [ | |
| "/static/public/papers/search_and_rescue.pdf" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What is the venue of the publication of \"Search and Rescue on the Line\"", | |
| "answer": [ | |
| "SIROCCO 2023 \u2013 30th International Colloquium on Structural Information and Communication Complexity." | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What publications does J Coleman contribute to", | |
| "answer": [ | |
| "Search and Rescue on the Line", | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things", | |
| "\u201cMulti-objective network synthesis for dispersed computing in tactical environments\u201d" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What publications does L Cheng contribute to", | |
| "answer": [ | |
| "Search and Rescue on the Line" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What publications does B Krishnamachari contribute to", | |
| "answer": [ | |
| "Search and Rescue on the Line", | |
| "Solving Math Word Problems Concerning Systems of Equations with GPT-3", | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things", | |
| "Characterizing ML training performance at the tactical edge", | |
| "Optimal Trading on a Dynamic Curve Automated Market Maker", | |
| "Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract)", | |
| "\u201cMulti-objective network synthesis for dispersed computing in tactical environments\u201d", | |
| "\u201cIntelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative Games\u201d", | |
| "DEFER: Distributed Edge Inference for Deep Neural Networks", | |
| "Network Synthesis for Tactical Environments: Scenario, Challenges, and Opportunities", | |
| "Neural Networks for DDoS Attack Detection using an Enhanced Urban IoT Dataset", | |
| "Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning", | |
| "\u201cLearning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning\u201d", | |
| "GCNScheduler: Scheduling distributed computing applications using graph convolutional networks", | |
| "\u201cRevealing a Hidden, Stable Spectral Structure of Urban Vehicular Traffic\u201d", | |
| "\u201cDataset: Large-scale Urban IoT Activity Data for DDoS Attack Emulation\u201d", | |
| "Jupiter: a networked computing architecture\u201d", | |
| "Course Scheduling to Minimize Student Wait Times For University Buildings During Epidemics", | |
| "\u201cSimulation-Based Analysis of COVID-19 Spread Through Classroom Transmission on a University Campus,\u201d", | |
| "A Decentralized Review System for Data Marketplaces", | |
| "DAISIM: A Computational Simulator for the MakerDAO Stablecoin", | |
| "Dynamic Curves for Decentralized Autonomous Cryptocurrency Exchanges", | |
| "Simulating the MakerDAO Stablecoin", | |
| "Dynamic Automated Market Makers for Decentralized Cryptocurrency Exchange", | |
| "CONTAIN: Privacy-oriented Contact Tracing Protocols for Epidemics", | |
| "Large-scale Urban IoT Activity Data for DDoS Attack Emulation", | |
| "TEAM: Trilateration for Exploration and Mapping with Robotic Networks" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Who contribute to the publication of \"Solving Math Word Problems Concerning Systems of Equations with GPT-3\"", | |
| "answer": [ | |
| "M Zong", | |
| "B Krishnamachari" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What is the venue of the publication of \"Solving Math Word Problems Concerning Systems of Equations with GPT-3\"", | |
| "answer": [ | |
| "Thirteenth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-23) to be held February 11-12, 2023." | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Give me the link to \"Solving Math Word Problems Concerning Systems of Equations with GPT-3\"", | |
| "answer": [ | |
| "/static/public/papers/Solving_Math_Word_Problems_with_GPT3-2022.pdf" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Which year is \"Solving Math Word Problems Concerning Systems of Equations with GPT-3\" published", | |
| "answer": [ | |
| "2023" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Who contribute to the publication of \"Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things\"", | |
| "answer": [ | |
| "J Coleman", | |
| "M Kiamari", | |
| "L Clark", | |
| "D DSouza", | |
| "B Krishnamachari" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "In what venue is \"Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things\" published", | |
| "answer": [ | |
| "IEEE MILCOM 2022." | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Give me the link to \"Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things\"", | |
| "answer": [ | |
| "/static/public/papers/edge_gcn_scheduler.pdf" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "In what year is \"Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things\" published", | |
| "answer": [ | |
| "2022" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What publications does M Kiamari contribute to", | |
| "answer": [ | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things", | |
| "GCNScheduler: Scheduling distributed computing applications using graph convolutional networks", | |
| "Distributed Consensus for Mobile Devices using Online Brokers" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What publications does L Clark contribute to", | |
| "answer": [ | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things", | |
| "TEAM: Trilateration for Exploration and Mapping with Robotic Networks", | |
| "A Queue-Stabilizing Framework for Networked Multi-Robot Exploration" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What publications does D DSouza contribute to", | |
| "answer": [ | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Who contribute to the publication of \"Characterizing ML training performance at the tactical edge\"", | |
| "answer": [ | |
| "A Alshabanah", | |
| "K Balasubramanian", | |
| "B Krishnamachari", | |
| "M Annavaram" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "What is the venue of the publication of \"Characterizing ML training performance at the tactical edge\"", | |
| "answer": [ | |
| "Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, vol. 12113, pp. 500-513. SPIE, 2022." | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Give me the link to \"Characterizing ML training performance at the tactical edge\"", | |
| "answer": [ | |
| "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121131N/Characterizing-ML-training-performance-at-the-tactical-edge/10.1117/12.2617773.short?SSO=1" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "Which year is \"Characterizing ML training performance at the tactical edge\" published", | |
| "answer": [ | |
| "2022" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "A Alshabanah contributes to which publications", | |
| "answer": [ | |
| "Characterizing ML training performance at the tactical edge" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "K Balasubramanian contributes to which publications", | |
| "answer": [ | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things" | |
| ] | |
| }, | |
| { | |
| "dataset": "data0.json", | |
| "question": "M Annavaram contributes to which publications", | |
| "answer": [ | |
| "Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things", | |
| "Jupiter: a networked computing architecture\u201d" | |
| ] | |
| } | |
| ] | |
| } |