Researchers have developed ReLoRA, a knowledge-reusing re-adaptation framework that enables fast recovery of task-specific Low-Rank Adaptation (LoRA) adapters after large language model (LLM) base-mod…
Researchers have developed VFEAgent, an end-to-end multi-agent system that automates finite element analysis (FEA) modeling and simulation directly from input images and problem descriptions. The syst…
Researchers have introduced Micro-Macro Retrieval (M2R), a new framework designed to reduce hallucination in large language models during long-form text generation. The system addresses the problem of…
Researchers have developed GenesisFunc, an automated pipeline that uses a multi-agent framework to generate high-quality, diverse training data for large language model function-calling. An 8B paramet…
Researchers have developed a new Large Language Model (LLM)-based architecture that detects and quantifies human values in text, addressing limitations of previous approaches tied to specific value th…
Researchers have found that hallucinations in small language models (SLMs) can be useful for solving complex multi-step reasoning problems. A new study proposes a "answer first-reason later" framework…
Researchers have developed a framework that uses large language models to deliver just-in-time adaptive feedback to students by grounding the AI with domain-specific expert knowledge. Deployed in a un…
Researchers have developed CoReVAD, a training-free video anomaly detection framework that uses a single frozen Vision-Language Model to generate both anomaly scores and temporal descriptions without …
Limitations of stateless AI systems, which require feeding entire conversation histories into each new request, and introduces the concept of stateful AI agents that maintain persistent memory and sel…
The article argues that Generative AI contributes to a "post-truth" society by presenting incorrect information with certainty, as illustrated by the author's experience where a GenAI search result fa…
While AI tools like LLMs are valuable for automating tasks and boosting productivity, they have limitations such as hallucination and bias that require careful human oversight. It concludes that the e…