A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, et al.
This paper explores the dual-use of generative AI in cybersecurity, demonstrating attack techniques like jailbreaks and prompt injection, while also proposing defensive applications.
Krzysztof Czarnecki, Ulrich W. Eisenecker
This book introduces generative programming, a paradigm for automating software component assembly using domain engineering, feature modeling, and code generation.
Pranjal Kumar
This survey provides a comprehensive overview of large language models, covering their technical frameworks, applications across domains, and future challenges.
Andrea Matarazzo, Riccardo Torlone
A survey exploring foundational components, scaling mechanisms, and emergent abilities of LLMs, including CoT and PoT reasoning, with applications across sectors.
Unknown
AceCoder improves code generation by using automated large-scale test-case synthesis to train reward models for reinforcement learning.
Unknown
Instructflow uses adaptive symbolic constraints to guide code generation for long-horizon robotic planning.