173 citations · 2k across the 156 of their papers we have counts for
162 papers
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou +9
We present a novel approach for structured data-to-text generation that addresses the limitations of existing methods that primarily focus on specific types of structured data. Our…
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight
Xiaodong Yu, Ben Zhou, Dan Roth
Information retrieval (IR) or knowledge retrieval, is a critical component for many down-stream tasks such as open-domain question answering (QA). It is also very challenging, as i…
On Regularization and Inference with Label Constraints
Kaifu Wang, Hangfeng He, Tin D. Nguyen +2
Prior knowledge and symbolic rules in machine learning are often expressed in the form of label constraints, especially in structured prediction problems. In this work, we compare…
The Integer Linear Programming Inference Cookbook
Vivek Srikumar, Dan Roth
Over the years, integer linear programs have been employed to model inference in many natural language processing problems. This survey is meant to guide the reader through the pro…
Towards Open-Domain Topic Classification
Hantian Ding, Jinrui Yang, Yuqian Deng +2
We introduce an open-domain topic classification system that accepts user-defined taxonomy in real time. Users will be able to classify a text snippet with respect to any candidate…
Large Language Models as Sous Chefs: Revising Recipes with GPT-3
Alyssa Hwang, Bryan Li, Zhaoyi Hou +1
With their remarkably improved text generation and prompting capabilities, large language models can adapt existing written information into forms that are easier to use and unders…