62 citations · 66 across the 4 of their papers we have counts for
5 papers
A Sequential Decision Framework for Evaluating LLM-Guided Search
Siqing Huo, Andrew Parry, Debasis Ganguly +2
Recent systems applying retrieval-augmented generation (RAG) and "deep research" iteratively generate queries, retrieve documents, and examine their contents, using the resulting i…
Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
Yiran Hu, Huanghai Liu, Chong Wang +15
Large language models (LLMs) are being increasingly integrated into legal applications, including judicial decision support, legal practice assistance, and public-facing legal serv…
Assessing and Verifying Task Utility in LLM-Powered Applications
Negar Arabzadeh, Siqing Huo, Nikhil Mehta +5
The rapid development of Large Language Models (LLMs) has led to a surge in applications that facilitate collaboration among multiple agents, assisting humans in their daily tasks.…
Retrieving Supporting Evidence for Generative Question Answering
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
Current large language models (LLMs) can exhibit near-human levels of performance on many natural language-based tasks, including open-domain question answering. Unfortunately, at…
Retrieving Supporting Evidence for LLMs Generated Answers
Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke
Current large language models (LLMs) can exhibit near-human levels of performance on many natural language tasks, including open-domain question answering. Unfortunately, they also…