Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
Buddy Punch reports that tool sprawl is common, with 52% of organizations using too many apps, leading to lost hours and ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
Mob-violence videos circulating are less than a minute long. A man lies on the ground, his face bruised, his shirt torn. A ...
Discover the power of a burn up chart. See examples, learn how to create one, and track scope, progress, and team performance ...
Abstract: Graph pooling plays an indispensable role in graph representation learning by aggregating the node representations on the graph into a compact form. However, the existing graph pooling ...
Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
This repository is the implementation of the following paper: Theoretical Insights into Line Graph Transformation on Graph Learning. This project is built on the BREC dataset which includes 400 pairs ...
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