2 papers
cs.AI2026
Agent Drift: Quantifying Behavioral Degradation in Multi-Agent LLM Systems Over Extended Interactions
Abhishek Rath
Multi-agent Large Language Model (LLM) systems have emerged as powerful architectures for complex task decomposition and collaborative problem-solving. However, their long-term beh…
cs.AI2025
Structured Prompting and Feedback-Guided Reasoning with LLMs for Data Interpretation
Amit Rath
Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and task generalization. However, their application to structured data anal…