Large language models (LLMs) like ChatGPT are transforming how we interact with AI—but they often “make things up.” These fabricated,…
Question Answering
SQuARE: Boost LLM Reasoning with Self-Generated Questions—No Retraining Needed 757
Solving complex reasoning problems is a persistent challenge for Large Language Models (LLMs). While techniques like Chain-of-Thought (CoT) prompting have…
EasyRAG: A Lightweight, High-Accuracy RAG Framework for Resource-Constrained Network Operations and Enterprise QA 584
In today’s fast-paced IT and enterprise environments, teams increasingly rely on retrieval-augmented generation (RAG) systems to provide accurate, context-aware answers…
XLNet: Bidirectional Language Understanding Without Masked Input Limitations 6180
XLNet is a breakthrough in language modeling that effectively bridges the gap between autoregressive (AR) and autoencoding (AE) pretraining paradigms.…