Yubin Kim

Learning To Rank Resources

2017

We present a learning-to-rank approach for resource selection. We develop features for resource ranking and present a training approach that does not require human judgments. Our method is well-suited to environments with a large number …

Robust Selective Search

2019 · ACM SIGIR Forum

Selective search is a modern distributed search architecture designed to reduce the computational cost of large-scale search. Selective search creates topical shards that are deliberately content-skewed, placing highly similar documents together in the same shard. …

Multipar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations

2023 · arXiv (Cornell University)

As we move closer to real-world AI systems, AI agents must be able to deal with multiparty (group) conversations. Recognizing and interpreting multiparty behaviors is challenging, as the system must recognize individual behavioral cues, deal …