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Understand new AI research with readable explanations and links to the original papers.
Large Language Models (LLMs) have shown great promise in Knowledge Graph Completion (KGC)—the task of inferring missing links in structured data—but they str...
This paper introduces a new logic-based framework designed to transform raw, timestamped clinical data into meaningful, high-level events.
How English Print Media Frames Human–Elephant Conflicts in India This research investigates how English-language news media in India portrays human-elephant...
The CriticalSet problem: Identifying Critical Contributors in Bipartite Dependency Networks addresses the challenge of finding the most influential "contribu...
Tool Attention Is All You Need: Dynamic Tool Gating and Lazy Schema Loading for Eliminating the MCP/Tools Tax in Scalable Agentic Workflows This paper addres...
Satisfying Rationality Postulates of Structured Argumentation Through Deductive Support – Technical Report This paper introduces Deductive ASPIC$^{\ominus}$,...
Thinking with Reasoning Skills: Fewer Tokens, More Accuracy Reasoning-focused AI models often solve complex math and coding problems by "thinking from scratc...
Nemobot Games: Crafting Strategic AI Gaming Agents for Interactive Learning with Large Language Models This paper introduces Nemobot, an interactive engineer...
Enabling and Inhibitory Pathways of University Students' Willingness to Disclose AI Use: A Cognition-Affect-Conation Perspective As artificial intelligence b...
Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement Deep learning models desig...
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