27 citations · 127 across the 32 of their papers we have counts for
3 papers · 1 filter
Evaluating the Diversity and Quality of LLM Generated Content
Alexander Shypula, Shuo Li, Botong Zhang +3
Recent work suggests that preference-tuning techniques -- such as Reinforcement Learning from Human Feedback (RLHF) methods like PPO and GRPO, as well as alternatives like DPO -- r…
Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting
Halley Young, Yimeng Zeng, Jacob Gardner +1
The capability to generate diverse text is a key challenge facing large language models (LLMs). Thus far, diversity has been studied via metrics such as -gram diversity or diver…
Counterfactual Explanations for Natural Language Interfaces
George Tolkachev, Stephen Mell, Steve Zdancewic +1
A key challenge facing natural language interfaces is enabling users to understand the capabilities of the underlying system. We propose a novel approach for generating explanation…