Daniel S. Weld

research

∙ 05/12/2023

In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making

The current literature on AI-advised decision making – involving explain...

0 Raymond Fok, et al. ∙

research

∙ 03/11/2023

An Interactive UI to Support Sensemaking over Collections of Parallel Texts

Scientists and science journalists, among others, often need to make sen...

0 Joyce Zhou, et al. ∙

research

∙ 02/14/2023

ScatterShot: Interactive In-context Example Curation for Text Transformation

The in-context learning capabilities of LLMs like GPT-3 allow annotators...

0 Tongshuang Wu, et al. ∙

research

∙ 02/14/2023

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context

When reading a scholarly article, inline citations help researchers cont...

0 Joseph Chee Chang, et al. ∙

research

∙ 01/24/2023

The Semantic Scholar Open Data Platform

The volume of scientific output is creating an urgent need for automated...

16 Rodney Kinney, et al. ∙

research

∙ 08/16/2022

FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs

The vast scale and open-ended nature of knowledge graphs (KGs) make expl...

0 Harmanpreet Kaur, et al. ∙

research

∙ 05/14/2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts

Systems that can automatically define unfamiliar terms hold the promise ...

15 Sonia K. Murthy, et al. ∙

research

∙ 05/09/2022

Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers

Researchers are expected to keep up with an immense literature, yet ofte...

0 Raymond Fok, et al. ∙

research

∙ 05/09/2022

Few-shot Mining of Naturally Occurring Inputs and Outputs

Creating labeled natural language training data is expensive and require...

5 Mandar Joshi, et al. ∙

research

∙ 05/04/2022

A Computational Inflection for Scientific Discovery

We stand at the foot of a significant inflection in the trajectory of sc...

6 Tom Hope, et al. ∙

research

∙ 04/27/2022

Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare

An important goal in the field of human-AI interaction is to help users ...

9 Marissa Radensky, et al. ∙

research

∙ 04/21/2022

From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks

The ever-increasing pace of scientific publication necessitates methods ...

0 Hyeonsu B. Kang, et al. ∙

research

∙ 03/16/2022

Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search

Abstractive summarization systems today produce fluent and relevant outp...

5 Daniel King, et al. ∙

research

∙ 09/27/2021

Exploring The Role of Local and Global Explanations in Recommender Systems

Explanations are well-known to improve recommender systems' transparency...

6 Marissa Radensky, et al. ∙

research

∙ 08/31/2021

A Search Engine for Discovery of Scientific Challenges and Directions

Keeping track of scientific challenges, advances and emerging directions...

11 Dan Lahav, et al. ∙

research

∙ 08/04/2021

Goldilocks: Consistent Crowdsourced Scalar Annotations with Relative Uncertainty

Human ratings have become a crucial resource for training and evaluating...

0 Quanze Chen, et al. ∙

research

∙ 06/01/2021

Incorporating Visual Layout Structures for Scientific Text Classification

Classifying the core textual components of a scientific paper-title, aut...

18 Zejiang Shen, et al. ∙

research

∙ 04/30/2021

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

The majority of scientific papers are distributed in PDF, which pose cha...

0 Lucy Lu Wang, et al. ∙

research

∙ 01/17/2021

GENIE: A Leaderboard for Human-in-the-Loop Evaluation of Text Generation

Leaderboards have eased model development for many NLP datasets by stand...

7 Daniel Khashabi, et al. ∙

research

∙ 01/01/2021

Polyjuice: Automated, General-purpose Counterfactual Generation

Counterfactual examples have been shown to be useful for many applicatio...

4 Tongshuang Wu, et al. ∙

research

∙ 06/26/2020

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Increasingly, organizations are pairing humans with AI systems to improv...

20 Gagan Bansal, et al. ∙

research

∙ 06/11/2020

High-Precision Extraction of Emerging Concepts from Scientific Literature

Identification of new concepts in scientific literature can help power f...

0 Daniel King, et al. ∙

research

∙ 05/20/2020

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

The COVID-19 pandemic has sparked unprecedented mobilization of scientis...

0 Tom Hope, et al. ∙

research

∙ 05/04/2020

The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America

Chronicling America is a product of the National Digital Newspaper Progr...

15 Benjamin Charles Germain Lee, et al. ∙

research

∙ 04/30/2020

TLDR: Extreme Summarization of Scientific Documents

We introduce TLDR generation for scientific papers, a new automatic summ...

0 Isabel Cachola, et al. ∙

research

∙ 04/27/2020

Optimizing AI for Teamwork

In many high-stakes domains such as criminal justice, finance, and healt...

9 Gagan Bansal, et al. ∙

research

∙ 04/22/2020

CORD-19: The COVID-19 Open Research Dataset

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of sc...

0 Lucy Lu Wang, et al. ∙

research

∙ 04/15/2020

SPECTER: Document-level Representation Learning using Citation-informed Transformers

Representation learning is a critical ingredient for natural language pr...

0 Arman Cohan, et al. ∙

research

∙ 04/15/2020

Document-level Representation Learning using Citation-informed Transformers

Representation learning is a critical ingredient for natural language pr...

0 Arman Cohan, et al. ∙

research

∙ 03/09/2020

Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation

Research in human-centered AI has shown the benefits of machine-learning...

19 Benjamin Charles Germain Lee, et al. ∙

research

∙ 09/09/2019

Pretrained Language Models for Sequential Sentence Classification

As a step toward better document-level understanding, we explore classif...

0 Arman Cohan, et al. ∙

research

∙ 08/24/2019

BERT for Coreference Resolution: Baselines and Analysis

We apply BERT to coreference resolution, achieving strong improvements o...

0 Mandar Joshi, et al. ∙

research

∙ 07/24/2019

SpanBERT: Improving Pre-training by Representing and Predicting Spans

We present SpanBERT, a pre-training method that is designed to better re...

0 Mandar Joshi, et al. ∙

research

∙ 10/25/2018

Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing

Traditional approaches for ensuring high quality crowdwork have failed t...

0 Quanze Chen, et al. ∙

research

∙ 10/20/2018

pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

Reasoning about implied relationships (e.g. paraphrastic, common sense, ...

0 Mandar Joshi, et al. ∙

research

∙ 08/26/2018

Semi-Supervised Event Extraction with Paraphrase Clusters

Supervised event extraction systems are limited in their accuracy due to...

0 James Ferguson, et al. ∙

research

∙ 03/26/2018

StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

Stack Overflow (SO) has been a great source of natural language question...

0 Ziyu Yao, et al. ∙

research

∙ 03/09/2018

Intelligible Artificial Intelligence

Since Artificial Intelligence (AI) software uses techniques like deep lo...

0 Daniel S. Weld, et al. ∙

research

∙ 05/09/2017

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

We present TriviaQA, a challenging reading comprehension dataset contain...

0 Mandar Joshi, et al. ∙

research

∙ 06/21/2015

Extreme Extraction: Only One Hour per Relation

Information Extraction (IE) aims to automatically generate a large knowl...

0 Raphael Hoffmann, et al. ∙

Daniel S. Weld

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