3 papers
cs.AI2026
Reducing Hallucinations in LLM-based Scientific Literature Analysis Using Peer Context Outlier Detection
Daniel Xie, Maxwell J. Jacobson, Adil Wazeer +3
Reducing hallucinations in Large Language Models (LLMs) is essential for improving the accuracy of data extraction from large text corpora. Current methods, like prompt engineering…
cs.AI2026
A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization
Maxwell J. Jacobson, Daniel Xie, Jackson Shen +4
Scientific discovery is slowed by fragmented literature that requires excessive human effort to gather, analyze, and understand. AI tools, including autonomous summarization and qu…
cs.LG2026
Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
Jinzhao Li, Nan Jiang, Yexiang Xue
Stochastic Multi-Objective Optimization (SMOO) is critical for decision-making trading off multiple potentially conflicting objectives in uncertain environments. SMOO aims at ident…