64 citations · 66 across the 3 of their papers we have counts for
9 papers
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
Victor Zhong, Weijia Shi, Wen-tau Yih +1
We introduce RoMQA, the first benchmark for robust, multi-evidence, multi-answer question answering (QA). RoMQA contains clusters of questions that are derived from related constra…
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su, Jungo Kasai, Chen Henry Wu +8
Many recent approaches to natural language tasks are built on the remarkable abilities of large language models. Large language models can perform in-context learning, where they l…
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions
Weijia Shi, Mandar Joshi, Luke Zettlemoyer
Short textual descriptions of entities provide summaries of their key attributes and have been shown to be useful sources of background knowledge for tasks such as entity linking a…
Cross-lingual Entity Alignment with Incidental Supervision
Muhao Chen, Weijia Shi, Ben Zhou +1
Much research effort has been put to multilingual knowledge graph (KG) embedding methods to address the entity alignment task, which seeks to match entities in different languagesp…
On Tractable Representations of Binary Neural Networks
Weijia Shi, Andy Shih, Adnan Darwiche +1
We consider the compilation of a binary neural network's decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) and Sentential Decision D…
Retrofitting Contextualized Word Embeddings with Paraphrases
Weijia Shi, Muhao Chen, Pei Zhou +1
Contextualized word embedding models, such as ELMo, generate meaningful representations of words and their context. These models have been shown to have a great impact on downstrea…