4 papers
A Systematic Approach for Large Language Models Debugging
Basel Shbita, Anna Lisa Gentile, Bing Zhang +10
Large language models (LLMs) have become central to modern AI workflows, powering applications from open-ended text generation to complex agent-based reasoning. However, debugging…
LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
Farhan Ahmed, Yuya Jeremy Ong, Chad DeLuca
Understanding and quantifying uncertainty in large language model (LLM) outputs is critical for reliable deployment. However, traditional evaluation approaches provide limited insi…
Adaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
Asmita Bhardwaj, Yuya Jeremy Ong, Eelaaf Zahid +1
Decoding strategies largely determine the quality of Large Language Model (LLM) outputs, yet widely used heuristics such as greedy or fixed temperature/top-p decoding are static an…
Augmenting Question Answering with A Hybrid RAG Approach
Tianyi Yang, Nashrah Haque, Vaishnave Jonnalagadda +6
Retrieval-Augmented Generation (RAG) has emerged as a powerful technique for enhancing the quality of responses in Question-Answering (QA) tasks. However, existing approaches often…