Xifeng Yan

Decentralized search in expert networks: Generic models and performance bounds

2016

We investigate the problem of query answering in expert networks, which are composed of inter-connected experts with various specialties. Upon receiving a query, the expert network is tasked to route this query to experts with …

Cross-domain Semantic Parsing via Paraphrasing

2017

Existing studies on semantic parsing mainly focus on the in-domain setting. We formulate cross-domain semantic parsing as a domain adaptation problem: train a semantic parser on some source domains and then adapt it to the …

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification

2020 · arXiv (Cornell University)

Graph classification aims to extract accurate information from graph-structured data for classification and is becoming more and more important in graph learning community. Although Graph Neural Networks (GNNs) have been successfully applied to graph classification …

MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

2024 · arXiv (Cornell University)

Scientific figure interpretation is a crucial capability for AI-driven scientific assistants built on advanced Large Vision Language Models. However, current datasets and benchmarks primarily focus on simple charts or other relatively straightforward figures from limited …

On Generating Characteristic-rich Question Sets for QA Evaluation

2016

We present a semi-automated framework for constructing factoid question answering (QA) datasets, where an array of question characteristics are formalized, including structure complexity, function, commonness, answer cardinality, and paraphrasing. Instead of collecting questions and manually …