2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator
Hyunji Lee, Kevin Chenhao Li, Matthias Grabmair +1
Prompt optimization aims to systematically refine prompts to enhance a language model's performance on specific tasks. Fairness detection in Terms of Service (ToS) clauses is a cha…
PRAXA: A Grammar for What-If Analysis
Sneha Gathani, Kevin Li, Raghav Thind +5
What-if analysis is widely used to explore hypothetical scenarios and evaluate alternative pathways to desired results. However, current approaches are fragmented: systems implemen…
Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
Kevin Li, Marinka Zitnik
Offline goal-conditioned reinforcement learning methods have shown promise for reach-avoid tasks, where an agent must reach a target state while avoiding undesirable regions of the…
Semantic De-boosting in e-commerce Query Autocomplete
Adithya Rajan, Weiqi Tong, Greg Sharp +2
In ecommerce search, query autocomplete plays a critical role to help users in their shopping journey. Often times, query autocomplete presents users with semantically similar quer…