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Research & Development
AISSISTANT: A Collaborative AI Framework for Scientific Writing
TLDR: AISSISTANT is an open-source human-AI collaborative framework that helps researchers write scientific review and perspective papers in machine learning. It uses specialized AI...
Research & Development
Enhancing Customer Support: How Agentic AI Transforms Contact Center Operations
TLDR: The research paper introduces Agentic AI, a proactive, goal-driven system that supports human agents in contact centers. A case study of Minerva CQ,...
Research & Development
GRRAF: AI Framework Generates Code for Graph Reasoning Tasks
TLDR: GRRAF (Graph Reasoning via Retrieval Augmented Framework) is a novel, training-free method that uses large language models (LLMs) to generate executable code queries...
Research & Development
H2R: Enhancing LLM Agents with Hierarchical Memory for Multi-Task Learning
TLDR: The H2R framework introduces a novel hierarchical memory architecture for LLM-based agents, decoupling high-level planning memory from low-level execution memory. This allows for...
Research & Development
Decoding LLM Preferences: Style Over Substance in AI Alignment
TLDR: Researchers introduce Feature Steering with Reinforcement Learning (FSRL), a new method for aligning large language models (LLMs) that uses a lightweight adapter to...
Research & Development
Protecting Sensitive Data in AI: A New Approach for Continual Learning
TLDR: This research introduces PeCL, a privacy-enhanced continual learning framework designed to help AI models learn new information without forgetting old knowledge, all while...