2 citations · 2 across the 7 of their papers we have counts for
7 papers
Adaptive Time Series Reasoning via Segment Selection
Shvat Messica, Jiawen Zhang, Kevin Li +2
Time series reasoning tasks often start with a natural language question and require targeted analysis of a time series. Evidence may span the full series or appear in a few short…
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…
Using Guided Transfer Learning to Predispose AI Agent to Learn Efficiently from Small RNA-sequencing Datasets
Kevin Li, Danko Nikolić, Vjekoslav Nikolić +3
Given the increasing availability of RNA-seq data and its complex and heterogeneous nature, there has been growing interest in applying AI/machine learning methodologies to work wi…
Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice
Kevin Li, Riya Desai, Ryan T. Scott +8
The adverse effects of microgravity exposure on mammalian physiology during spaceflight necessitate a deep understanding of the underlying mechanisms to develop effective counterme…