6 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
Sparse Rewards Can Self-Train Dialogue Agents
Barrett Martin Lattimer, Varun Gangal, Ryan McDonald +1
Recent advancements in state-of-the-art (SOTA) Large Language Model (LLM) agents, especially in multi-turn dialogue tasks, have been primarily driven by supervised fine-tuning and…
Fast and Accurate Factual Inconsistency Detection Over Long Documents
Barrett Martin Lattimer, Patrick Chen, Xinyuan Zhang +1
Generative AI models exhibit remarkable potential; however, hallucinations across various tasks present a significant challenge, particularly for longer inputs that current approac…
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
Yuwei Bao, Barrett Martin Lattimer, Joyce Chai
Human language acquisition is an efficient, supervised, and continual process. In this work, we took inspiration from how human babies acquire their first language, and developed a…