Wenhan Xiong

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The Regents of the University of California

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Xin Wang
289 publications
William Yang Wang
123 publications
Sebastian Riedel
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Mo Yu
80 publications
Shiyu Chang
76 publications
Jonathan Berant
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Yu-Gang Jiang
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Bowen Zhou
65 publications
Douwe Kiela
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Haoyu Wang
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Ming Zhang
54 publications

∙ 01/10/2022

SCROLLS: Standardized CompaRison Over Long Language Sequences

NLP benchmarks have largely focused on short texts, such as sentences an...

Uri Shaham, et al. ∙

∙ 12/14/2021

Boosted Dense Retriever

We propose DrBoost, a dense retrieval ensemble inspired by boosting. DrB...

Patrick Lewis, et al. ∙

∙ 12/14/2021

Simple Local Attentions Remain Competitive for Long-Context Tasks

Many NLP tasks require processing long contexts beyond the length limit ...

Wenhan Xiong, et al. ∙

∙ 12/10/2021

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation

Most existing vision-language pre-training methods focus on understandin...

Tianyi Liu, et al. ∙

∙ 10/13/2021

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

Since late 2019, COVID-19 has quickly emerged as the newest biomedical d...

Sharon Levy, et al. ∙

∙ 05/31/2021

Zero-shot Fact Verification by Claim Generation

Neural models for automated fact verification have achieved promising re...

Liangming Pan, et al. ∙

∙ 10/23/2020

Unsupervised Multi-hop Question Answering by Question Generation

Obtaining training data for Multi-hop Question Answering (QA) is extreme...

Liangming Pan, et al. ∙

∙ 09/27/2020

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

We propose a simple and efficient multi-hop dense retrieval approach for...

Wenhan Xiong, et al. ∙

∙ 04/30/2020

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering

To extract answers from a large corpus, open-domain question answering (...

Wenhan Xiong, et al. ∙

∙ 04/15/2020

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data

Existing question answering datasets focus on dealing with homogeneous i...

Wenhu Chen, et al. ∙

∙ 04/06/2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games

We propose the new problem of learning to recover reasoning chains from ...

Yufei Feng, et al. ∙

∙ 12/20/2019

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model

Recent breakthroughs of pretrained language models have shown the effect...

Wenhan Xiong, et al. ∙

∙ 10/31/2019

Do Multi-hop Readers Dream of Reasoning Chains?

General Question Answering (QA) systems over texts require the multi-hop...

Haoyu Wang, et al. ∙

∙ 09/17/2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering

A key challenge of multi-hop question answering (QA) in the open-domain ...

Wenhan Xiong, et al. ∙

∙ 09/13/2019

Towards Open-Domain Named Entity Recognition via Neural Correction Models

Named Entity Recognition (NER) plays an important role in a wide range o...

Mengdi Zhu, et al. ∙

∙ 09/09/2019

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification

Many tasks in natural language processing can be viewed as multi-label c...

Jiawei Wu, et al. ∙

∙ 08/13/2019

Meta Reasoning over Knowledge Graphs

The ability to reason over learned knowledge is an innate ability for hu...

Hong Wang, et al. ∙

∙ 07/14/2019

TWEETQA: A Social Media Focused Question Answering Dataset

With social media becoming increasingly pop-ular on which lots of news a...

Wenhan Xiong, et al. ∙

∙ 06/11/2019

Self-Supervised Learning for Contextualized Extractive Summarization

Existing models for extractive summarization are usually trained from sc...

Hong Wang, et al. ∙

∙ 05/17/2019

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader

We propose a new end-to-end question answering model, which learns to ag...

Wenhan Xiong, et al. ∙

∙ 03/06/2019

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

Existing entity typing systems usually exploit the type hierarchy provid...

Wenhan Xiong, et al. ∙

∙ 03/06/2019

Sentence Embedding Alignment for Lifelong Relation Extraction

Conventional approaches to relation extraction usually require a fixed s...

Hong Wang, et al. ∙

∙ 11/03/2018

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

Recent studies show that 85 avoid harassment and assault. Despite this, ...

Sharon Levy, et al. ∙

∙ 08/27/2018

One-Shot Relational Learning for Knowledge Graphs

Knowledge graphs (KGs) are the key components of various natural languag...

Wenhan Xiong, et al. ∙

∙ 06/16/2018

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents

We investigate the task of learning to follow natural language instructi...

Wenhan Xiong, et al. ∙

∙ 03/21/2018

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Existing research studies on vision and language grounding for robot nav...

Xin Wang, et al. ∙

∙ 03/17/2018

Variational Knowledge Graph Reasoning

Inferring missing links in knowledge graphs (KG) has attracted a lot of ...

Wenhu Chen, et al. ∙

∙ 07/20/2017

DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning

We study the problem of learning to reason in large scale knowledge grap...

Wenhan Xiong, et al. ∙