René's URL Explorer Experiment


Title: Jonathan Bragg

direct link

Domain: jonathanbragg.com

Hey, it has json ld scripts: 
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Jonathan Bragg",
  "url": "https://www.jonathanbragg.com",
  "image": "https://www.jonathanbragg.com/assets/images/headshot.jpeg",
  "email": "mailto:hi@jonathanbragg.com",
  "jobTitle": "Lead Research Scientist",
  "worksFor": {
    "@type": "Organization",
    "name": "Allen Institute for AI",
    "url": "https://allenai.org"
  },
  "sameAs": ["https://scholar.google.com/citations?user=rNO2Q1kAAAAJ&hl=en","https://www.linkedin.com/in/j-bragg/","https://github.com/jbragg","https://x.com/turingmusician","https://bsky.app/profile/jbragg.bsky.social","https://dblp.org/pid/44/9006.html","https://openreview.net/profile?id=~Jonathan_Bragg1","https://dl.acm.org/profile/81456631418","https://arxiv.org/a/0000-0001-5460-9047","https://orcid.org/0000-0001-5460-9047","https://www.scopus.com/authid/detail.uri?authorId=57188813507","https://www.semanticscholar.org/author/Jonathan-Bragg/2699105","https://huggingface.co/jbragg"]
}
Nonetext/html; charset=utf-8

Links:

Jonathan Bragghttps://jonathanbragg.com/
https://jonathanbragg.com/
https://twitter.com/turingmusician
https://bsky.app/profile/jbragg.bsky.social
https://www.linkedin.com/in/j-bragg/
https://www.semanticscholar.org/author/Jonathan-Bragg/2699105
https://scholar.google.com/citations?user=rNO2Q1kAAAAJ
Allen Institute for AI (AI2)https://allenai.org
Stanfordhttps://cs.stanford.edu/
University of Washingtonhttps://www.washington.edu/
Harvard Collegehttps://college.harvard.edu/
musicianhttps://jonathanbragg.com/music.html
New England Conservatoryhttps://necmusic.edu
Harvard Collegehttps://college.harvard.edu/
Forecasting Scientific Progress with Artificial Intelligencehttps://doi.org/10.48550/arXiv.2605.22681
+5 morehttps://jonathanbragg.com
arXivhttps://doi.org/10.48550/arXiv.2605.22681
AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suitehttps://openreview.net/forum?id=M7TNf5J26u
+33 morehttps://jonathanbragg.com
Publisherhttps://openreview.net/forum?id=M7TNf5J26u
arXivhttps://doi.org/10.48550/arXiv.2510.21652
Bloghttps://allenai.org/blog/astabench
Blog (Update)https://allenai.org/blog/astabench-update-spring-2026
Cocoa: Co-Planning and Co-Execution with AI Agentshttps://doi.org/10.1145/3772318.3791673
Publisherhttps://doi.org/10.1145/3772318.3791673
arXivhttps://doi.org/10.48550/arXiv.2412.10999
Omakase: Proactive Assistance with Actionable Suggestions for Evolving Scientific Research Projectshttps://doi.org/10.48550/arXiv.2604.08898
arXivhttps://doi.org/10.48550/arXiv.2604.08898
LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscapehttps://doi.org/10.48550/arXiv.2604.02600
arXivhttps://doi.org/10.48550/arXiv.2604.02600
Deep Research, Shallow Evaluation: A Case Study in Meta-Evaluation for Long-Form QA Benchmarkshttps://doi.org/10.48550/arXiv.2603.06942
+4 morehttps://jonathanbragg.com
arXivhttps://doi.org/10.48550/arXiv.2603.06942
Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Datasethttps://doi.org/10.48550/arXiv.2602.23335
+7 morehttps://jonathanbragg.com
+9 morehttps://jonathanbragg.com
arXivhttps://doi.org/10.48550/arXiv.2602.23335
Bloghttps://allenai.org/blog/asta-interaction-dataset
Datahttps://huggingface.co/datasets/allenai/asta-user-interactions
SciArena: An Open Evaluation Platform for Foundation Models in Scientific Literature Taskshttps://openreview.net/forum?id=am6RR85mnc
+10 morehttps://jonathanbragg.com
Publisherhttps://openreview.net/forum?id=am6RR85mnc
arXivhttps://doi.org/10.48550/arXiv.2507.01001
Facets, Taxonomies, and Syntheses: Navigating Structured Representations in LLM-Assisted Literature Reviewhttps://doi.org/10.48550/arXiv.2504.18496
arXivhttps://doi.org/10.48550/arXiv.2504.18496
Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generationhttps://doi.org/10.1145/3706598.3713749
Publisherhttps://doi.org/10.1145/3706598.3713749
arXivhttps://doi.org/10.48550/arXiv.2411.02353
IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedbackhttps://doi.org/10.1145/3706598.3714057
Publisherhttps://doi.org/10.1145/3706598.3714057
arXivhttps://doi.org/10.48550/arXiv.2410.04025
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preferencehttps://aclanthology.org/2025.findings-naacl.260/
Publisherhttps://aclanthology.org/2025.findings-naacl.260/
arXivhttps://doi.org/10.48550/arXiv.2501.00560
The Semantic Reader Projecthttps://doi.org/10.1145/3659096
+50 morehttps://jonathanbragg.com
Publisherhttps://doi.org/10.1145/3659096
arXivhttps://doi.org/10.48550/arXiv.2303.14334
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviewshttps://doi.org/10.18653/v1/2024.acl-long.377
Publisherhttps://doi.org/10.18653/v1/2024.acl-long.377
arXivhttps://doi.org/10.48550/arXiv.2306.12587
Let’s Get to the Point: LLM-Supported Planning, Drafting, and Revising of Research-Paper Blog Postshttps://doi.org/10.48550/arXiv.2406.10370
arXivhttps://doi.org/10.48550/arXiv.2406.10370
Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlightshttps://doi.org/10.1145/3665648
+5 morehttps://jonathanbragg.com
Publisherhttps://doi.org/10.1145/3665648
Mitigating Barriers to Public Social Interaction with Meronymous Communicationhttps://doi.org/10.1145/3613904.3642241
Publisherhttps://doi.org/10.1145/3613904.3642241
arXivhttps://doi.org/10.48550/arXiv.2402.17847
PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Papershttps://doi.org/10.1145/3613904.3642196
Publisherhttps://doi.org/10.1145/3613904.3642196
arXivhttps://doi.org/10.48550/arXiv.2403.02939
FigurA11y: AI Assistance for Writing Scientific Alt Texthttps://doi.org/10.1145/3640543.3645212
Publisherhttps://doi.org/10.1145/3640543.3645212
Codehttps://github.com/allenai/figura11y
RCT Rejection Sampling for Causal Estimation Evaluationhttps://openreview.net/forum?id=F74ZZk5hPa
Publisherhttps://openreview.net/forum?id=F74ZZk5hPa
arXivhttps://doi.org/10.48550/arXiv.2307.15176
Papeos: Augmenting Research Papers with Talk Videoshttps://doi.org/10.1145/3586183.3606770
Publisherhttps://doi.org/10.1145/3586183.3606770
arXivhttps://doi.org/10.48550/arXiv.2308.15224
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processinghttps://doi.org/10.1145/3589955
Publisherhttps://doi.org/10.1145/3589955
arXivhttps://doi.org/10.48550/arXiv.2203.00130
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Contexthttps://doi.org/10.1145/3544548.3580847
Publisherhttps://doi.org/10.1145/3544548.3580847
arXivhttps://doi.org/10.48550/arXiv.2302.07302
ComLittee: Literature Discovery with Personal Elected Author Committeeshttps://doi.org/10.1145/3544548.3581371
Publisherhttps://doi.org/10.1145/3544548.3581371
arXivhttps://doi.org/10.48550/arXiv.2302.06780
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sectionshttps://doi.org/10.1145/3544548.3580841
Publisherhttps://doi.org/10.1145/3544548.3580841
arXivhttps://doi.org/10.48550/arXiv.2302.06754
Beyond Summarization: Designing AI Support for Real-World Expository Writing Taskshttps://doi.org/10.48550/arXiv.2304.02623
arXivhttps://doi.org/10.48550/arXiv.2304.02623
Scim: Intelligent Skimming Support for Scientific Papershttps://doi.org/10.1145/3581641.3584034
Publisherhttps://doi.org/10.1145/3581641.3584034
arXivhttps://doi.org/10.48550/arXiv.2205.04561
The Semantic Scholar Open Data Platformhttps://doi.org/10.48550/arXiv.2301.10140
+42 morehttps://jonathanbragg.com
arXivhttps://doi.org/10.48550/arXiv.2301.10140
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generationhttps://doi.org/10.18653/v1/2022.emnlp-main.787
Publisherhttps://doi.org/10.18653/v1/2022.emnlp-main.787
arXivhttps://doi.org/10.48550/arXiv.2101.06561
Codehttps://github.com/allenai/genie-worker-scoring
Websitehttps://genie.apps.allenai.org/data
Exploring Team-Sourced Hyperlinks to Address Navigation Challenges for Low-Vision Readers of Scientific Papershttps://doi.org/10.1145/3555629
Publisherhttps://doi.org/10.1145/3555629
A Dataset of Alt Texts from HCI Publications: Analyses and Uses Towards Producing More Descriptive Alt Texts of Data Visualizations in Scientific Papershttps://doi.org/10.1145/3517428.3544796
Publisherhttps://doi.org/10.1145/3517428.3544796
arXivhttps://doi.org/10.48550/arXiv.2209.13718
Codehttps://github.com/allenai/hci-alt-texts
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphshttps://doi.org/10.1145/3526113.3545631
Publisherhttps://doi.org/10.1145/3526113.3545631
arXivhttps://doi.org/10.48550/arXiv.2208.07531
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networkshttps://doi.org/10.1145/3491102.3517470
Publisherhttps://doi.org/10.1145/3491102.3517470
CiteRead: Integrating Localized Citation Contexts into Scientific Paper Readinghttps://doi.org/10.1145/3490099.3511162
Publisherhttps://doi.org/10.1145/3490099.3511162
FLEX: Unifying Evaluation for Few-Shot NLPhttps://proceedings.neurips.cc/paper/2021/hash/8493eeaccb772c0878f99d60a0bd2bb3-Abstract.html
Publisherhttps://proceedings.neurips.cc/paper/2021/hash/8493eeaccb772c0878f99d60a0bd2bb3-Abstract.html
arXivhttps://doi.org/10.48550/arXiv.2107.07170
Codehttps://github.com/allenai/flex
SciA11y: Converting Scientific Papers to Accessible HTMLhttps://doi.org/10.1145/3441852.3476545
+5 morehttps://jonathanbragg.com
Publisherhttps://doi.org/10.1145/3441852.3476545
Websitehttps://papertohtml.org
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Usershttps://doi.org/10.48550/arXiv.2105.00076
+5 morehttps://jonathanbragg.com
arXivhttps://doi.org/10.48550/arXiv.2105.00076
Websitehttps://scia11y.org/
Fake It Till You Make It: Learning-Compatible Performance Supporthttp://proceedings.mlr.press/v115/bragg20a.html
Publisherhttp://proceedings.mlr.press/v115/bragg20a.html
Codehttps://github.com/StanfordAI4HI/learning-compatible-performance-support
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcinghttps://doi.org/10.1145/3290605.3300761
Publisherhttps://doi.org/10.1145/3290605.3300761
arXivhttps://doi.org/10.48550/arXiv.1810.10733
Sprout: Crowd-Powered Task Design for Crowdsourcinghttps://doi.org/10.1145/3242587.3242598
Publisherhttps://doi.org/10.1145/3242587.3242598
Videohttps://www.youtube.com/watch?v=W7M4nurKcAE
Codehttps://crowdlab.cs.washington.edu/task-design.html
Slideshttps://jonathanbragg.com/assets/pdf/bragg-uist18-talk.pdf
Self-Improving Crowdsourcing: Near-Effortless Design of Adaptive Distributed Workhttps://hdl.handle.net/1773/43019
Publisherhttps://hdl.handle.net/1773/43019
Subcontracting Microworkhttps://doi.org/10.1145/3025453.3025687
Publisherhttps://doi.org/10.1145/3025453.3025687
PDFhttps://jonathanbragg.com/assets/pdf/morris-chi17.pdf
Worker-Owned Cooperative Models for Training Artificial Intelligencehttps://doi.org/10.1145/3022198.3026356
Publisherhttps://doi.org/10.1145/3022198.3026356
PDFhttps://jonathanbragg.com/assets/pdf/sriraman-cscw17.pdf
MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracyhttps://doi.org/10.1609/hcomp.v4i1.13270
Publisherhttps://doi.org/10.1609/hcomp.v4i1.13270
Effective Crowd Annotation for Relation Extractionhttps://doi.org/10.18653/v1/n16-1104
Publisherhttps://doi.org/10.18653/v1/n16-1104
Optimal Testing for Crowd Workershttp://dl.acm.org/citation.cfm?id=2937066
Publisherhttp://dl.acm.org/citation.cfm?id=2937066
Codehttps://www.github.com/uwcrowdlab/guru
Slideshttps://jonathanbragg.com/assets/pdf/bragg-aamas16-talk.pdf
Toward Automatic Bootstrapping of Online Communities Using Decision-theoretic Optimizationhttps://doi.org/10.1145/2818048.2820024
Publisherhttps://doi.org/10.1145/2818048.2820024
PDFhttps://jonathanbragg.com/assets/pdf/huang-cscw16.pdf
Slideshttps://jonathanbragg.com/assets/pdf/huang-cscw16-talk.pdf
Artificial Intelligence and Collective Intelligencehttps://mitpress.mit.edu/9780262545846/handbook-of-collective-intelligence/
Publisherhttps://mitpress.mit.edu/9780262545846/handbook-of-collective-intelligence/
PDFhttps://homes.cs.washington.edu/ weld/papers/ci-chapter2014.pdf
Learning on the Job: Optimal Instruction for Crowdsourcinghttps://crowdml.cc/icml2015/papers/CrowdML-Paper17.pdf
Publisherhttps://crowdml.cc/icml2015/papers/CrowdML-Paper17.pdf
Parallel Task Routing for Crowdsourcinghttps://doi.org/10.1609/hcomp.v2i1.13170
Publisherhttps://doi.org/10.1609/hcomp.v2i1.13170
Slideshttps://jonathanbragg.com/assets/pdf/bragg-hcomp14-talk.pdf
Crowdsourcing Multi-Label Classification for Taxonomy Creationhttps://doi.org/10.1609/hcomp.v1i1.13091
Publisherhttps://doi.org/10.1609/hcomp.v1i1.13091
Neo-Riemannian Cycle Detection with Weighted Finite-State Transducershttp://ismir2011.ismir.net/papers/PS3-8.pdf
Publisherhttp://ismir2011.ismir.net/papers/PS3-8.pdf
Posterhttps://jonathanbragg.com/assets/pdf/bragg-ismir11-poster.pdf
Mathematics and Computation in Music 2009: John Clough Memorial Conferencehttps://doi.org/10.1162/comj.2010.34.1.100
HTMLhttp://www.computermusicjournal.org/reviews/34-1/bragg+huang-mcm09.html
Publisherhttps://doi.org/10.1162/comj.2010.34.1.100
Detection of Neo-Riemannian Cycles: A Finite State Approachhttp://id.lib.harvard.edu/aleph/012561176/catalog
Publisherhttp://id.lib.harvard.edu/aleph/012561176/catalog
Arnavi Chheda-Kotharyhttps://arnavick.com/
https://scholar.google.com/citations?user=AVxybcgAAAAJ
Peiling Jianghttps://jiang.pl/
https://scholar.google.com/citations?user=1GLLuzQAAAAJ
Hita Kambhamettuhttps://hita-k.github.io/
https://scholar.google.com/citations?user=YB4kR8wAAAAJ
Kevin Fenghttps://kjfeng.me/
https://scholar.google.com/citations?user=CNrJuz8AAAAJ
Kevin Puhttps://kevinpjk.github.io/
https://scholar.google.com/citations?user=TsENWEIAAAAJ
https://www.semanticscholar.org/author/2181196014
Jeongyeon Kimhttps://www.jeongyeon.kim/
https://scholar.google.com/citations?user=IxemFj0AAAAJ
Yoonjoo Leehttps://yoonjoolee.com/
https://scholar.google.com/citations?user=VpkNR9EAAAAJ
Marissa Radenskyhttps://sites.google.com/view/marissaradensky
https://scholar.google.com/citations?user=YRCUN_UAAAAJ
Nikhil Singhhttps://web.media.mit.edu/~nsingh1/
https://scholar.google.com/citations?user=h3YzYXwAAAAJ
https://www.semanticscholar.org/author/Nikhil-Singh/2110097630
Nayha Auradkarhttps://www.linkedin.com/in/nayhaauradkar/
Tae Soo Kimhttps://taesookim.com/
https://scholar.google.com/citations?user=CsBoGvMAAAAJ
https://www.semanticscholar.org/author/1410132100
Srishti Palanihttps://www.tableau.com/research/people/srishti-palani
https://scholar.google.com/citations?user=VQV7AYUAAAAJ
Nouran Solimanhttps://www.nouransoliman.com/
https://scholar.google.com/citations?user=JtSAIqgAAAAJ
Hyeonsu Kanghttps://www.hyeonsukang.com/
https://scholar.google.com/citations?user=NBcNOCAAAAAJ
https://www.semanticscholar.org/author/Hyeonsu-Kang/26997666
Sanjana Chintalapatihttps://www.linkedin.com/in/sanjanachintalapati/
Napol Rachatasumrithttps://www.linkedin.com/in/napol-rachatasumrit/
https://scholar.google.com/citations?user=a9l8VDAAAAAJ
Tal Augusthttps://talaugust.github.io/
https://scholar.google.com/citations?user=DkOW1PwAAAAJ
https://www.semanticscholar.org/author/Tal-August/50509991
Soya Parkhttps://people.csail.mit.edu/soya/
https://scholar.google.com/citations?user=Gz8lsIwAAAAJ
Raymond Fokhttps://rayfok.github.io/
https://scholar.google.com/citations?user=BuE1X6oAAAAJ
Rafal Kocielnikhttps://www.rkocielnik.com/
https://scholar.google.com/citations?user=FkFfXZsAAAAJ
Harmanpreet Kaurhttps://harmanpk.github.io/
https://scholar.google.com/citations?user=2VIgrGIAAAAJ

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