2 papers
cs.AI2026
AdMem: Advanced Memory for Task-solving Agents
Runzhe Wang, Huilin Lu, Shengjie Liu +2
Large Language Models (LLMs) show promise as tool-using agents but remain limited in long-horizon tasks that require remembering, organizing, and reusing knowledge. Prior memory ap…
cs.CL2024
Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework
Krishna Aswani, Huilin Lu, Pranav Patankar +4
Recent advancements in prompt engineering strategies, such as Chain-of-Thought (CoT) and Self-Discover, have demonstrated significant potential in improving the reasoning abilities…