Paul N. Bennett

Search from Personal to Social Context: Progress and Challenges.

2015

User and behavioral modeling plays a critical role in a variety of online services such as web search, advertising, ecommerce, and news recommendation. For example, our ability to accurately interpret the intent of a web …

Leading Conversational Search by Suggesting Useful Questions

2020

This paper studies a new scenario in conversational search, conversational question suggestion, which leads search engine users to more engaging experiences by suggesting interesting, informative, and useful follow-up questions. We first establish a novel evaluation …

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals

2022 · arXiv (Cornell University)

We present an efficient method of pretraining large-scale autoencoding language models using training signals generated by an auxiliary model. Originated in ELECTRA, this training strategy has demonstrated sample-efficiency to pretrain models at the scale of …

Understanding Causality with Large Language Models: Feasibility and Opportunities

2023 · arXiv (Cornell University)

We assess the ability of large language models (LLMs) to answer causal questions by analyzing their strengths and weaknesses against three types of causal question. We believe that current LLMs can answer causal questions with …

<scp>SummaC</scp>: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

2022 · Transactions of the Association for Computational Linguistics

Abstract In the summarization domain, a key requirement for summaries is to be factually consistent with the input document. Previous work has found that natural language inference (NLI) models do not perform competitively when applied …