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08/31/2023
In-class Data Analysis Replications: Teaching Students while Testing Science
Science is facing a reproducibility crisis. Previous work has proposed i...
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08/30/2023
Food Choice Mimicry on a Large University Campus
Social influence is a strong determinant of food consumption, which in t...
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08/23/2023
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology
Prostate cancer pathology plays a crucial role in clinical management bu...
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08/11/2023
Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling
Generative language models (LMs) have become omnipresent across data sci...
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08/02/2023
Flows: Building Blocks of Reasoning and Collaborating AI
Recent advances in artificial intelligence (AI) have produced highly cap...
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06/29/2023
Tube2Vec: Social and Semantic Embeddings of YouTube Channels
Research using YouTube data often explores social and semantic dimension...
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06/13/2023
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
Large language models (LLMs) are remarkable data annotators. They can be...
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06/06/2023
Orphan Articles: The Dark Matter of Wikipedia
With 60M articles in more than 300 language versions, Wikipedia is the l...
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05/24/2023
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
Large Language Models (LLMs) have democratized synthetic data generation...
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05/23/2023
Flexible Grammar-Based Constrained Decoding for Language Models
LLMs have shown impressive few-shot performance across many tasks. Howev...
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05/23/2023
Wikipedia and open access
Wikipedia is a well-known platform for disseminating knowledge, and scie...
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05/16/2023
Curious Rhythms: Temporal Regularities of Wikipedia Consumption
Wikipedia, in its role as the world's largest encyclopedia, serves a bro...
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04/04/2023
REFINER: Reasoning Feedback on Intermediate Representations
Language models (LMs) have recently shown remarkable performance on reas...
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03/07/2023
Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
Large language models (LLMs) show great potential for synthetic data gen...
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02/22/2023
The Amplification Paradox in Recommender Systems
Automated audits of recommender systems found that blindly following rec...
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10/27/2022
Quotatives Indicate Decline in Objectivity in U.S. Political News
According to journalistic standards, direct quotes should be attributed ...
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10/19/2022
Automated Content Moderation Increases Adherence to Community Guidelines
Online social media platforms use automated moderation systems to remove...
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10/13/2022
Language Model Decoding as Likelihood-Utility Alignment
A critical component of a successful language generation pipeline is the...
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10/08/2022
An Ordinal Latent Variable Model of Conflict Intensity
For the quantitative monitoring of international relations, political ev...
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10/05/2022
Differentially Private Propensity Scores for Bias Correction
In surveys, it is typically up to the individuals to decide if they want...
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09/27/2022
On the Choice of Databases in Differential Privacy Composition
Differential privacy (DP) is a widely applied paradigm for releasing dat...
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09/18/2022
Distribution inference risks: Identifying and mitigating sources of leakage
A large body of work shows that machine learning (ML) models can leak se...
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08/31/2022
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
Automatic evaluation metrics capable of replacing human judgments are cr...
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08/30/2022
Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces
Given that measuring food consumption at a population scale is a challen...
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08/30/2022
Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter's Character Limit
The design of online platforms is both critically important and challeng...
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08/26/2022
ESC-Rules: Explainable, Semantically Constrained Rule Sets
We describe a novel approach to explainable prediction of a continuous v...
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07/17/2022
United States Politicians' Tone Became More Negative with 2016 Primary Campaigns
There is a widespread belief that the tone of US political language has ...
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07/07/2022
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
The use of attributed quotes is the most direct and least filtered pathw...
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07/06/2022
Strong Heuristics for Named Entity Linking
Named entity linking (NEL) in news is a challenging endeavour due to the...
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06/30/2022
Efficient Entity Candidate Generation for Low-Resource Languages
Candidate generation is a crucial module in entity linking. It also play...
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05/20/2022
Descartes: Generating Short Descriptions of Wikipedia Articles
We introduce and tackle the problem of automatically generating short de...
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05/06/2022
Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds
Differential privacy (DP) is a widely used notion for reasoning about pr...
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03/18/2022
Characterizing Alternative Monetization Strategies on YouTube
One of the key emerging roles of the YouTube platform is providing creat...
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03/14/2022
Going Down the Rabbit Hole: Characterizing the Long Tail of Wikipedia Reading Sessions
"Wiki rabbit holes" are informally defined as navigation paths followed ...
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01/17/2022
On the Context-Free Ambiguity of Emoji: A Data-Driven Study of 1,289 Emojis
Emojis come with prepacked semantics making them great candidates to cre...
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01/10/2022
Language-Agnostic Website Embedding and Classification
Currently, publicly available models for website classification do not o...
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01/03/2022
Wikipedia Reader Navigation: When Synthetic Data Is Enough
Every day millions of people read Wikipedia. When navigating the vast sp...
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12/22/2021
A Large-Scale Characterization of How Readers Browse Wikipedia
Despite the importance and pervasiveness of Wikipedia as one of the larg...
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12/15/2021
GenIE: Generative Information Extraction
Structured and grounded representation of text is typically formalized b...
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10/20/2021
Better than Average: Paired Evaluation of NLP Systems
Evaluation in NLP is usually done by comparing the scores of competing s...
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10/16/2021
Invariant Language Modeling
Modern pretrained language models are critical components of NLP pipelin...
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09/27/2021
Classifying Dyads for Militarized Conflict Analysis
Understanding the origins of militarized conflict is a complex, yet impo...
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09/20/2021
What do fact checkers fact-check when?
Recent research suggests that not all fact checking efforts are equal: w...
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05/19/2021
Laughing Heads: Can Transformers Detect What Makes a Sentence Funny?
The automatic detection of humor poses a grand challenge for natural lan...
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04/18/2021
Low-rank Subspaces for Unsupervised Entity Linking
Entity linking is an important problem with many applications. Most prev...
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04/17/2021
Recursive input and state estimation: A general framework for learning from time series with missing data
Time series with missing data are signals encountered in important setti...
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04/16/2021
Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets
The learning of a new language remains to this date a cognitive task tha...
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04/09/2021
Political Polarization in Online News Consumption
Political polarization appears to be on the rise, as measured by voting ...
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02/25/2021
Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTube
Researchers have suggested that "the Manosphere," a conglomerate of men-...
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02/19/2021