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26 changes: 25 additions & 1 deletion pubgen/pubs.json
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[
{
"title": "Watch Your Steps: Observable and Modular Chains of Thought",
"authors": "Cassandra A. Cohen, William W. Cohen",
"venues": "",
"year": "2024",
"topics": "a",
"url": "https://arxiv.org/abs/2409.15359",
"cite": "preparation",
"thread": "",
"doi": "recent.html",
"comment": ""
},
{
"title": "Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation",
"authors": "Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson and William W. Cohen",
"venues": "",
"year": "2024",
"topics": "a",
"url": "https://arxiv.org/abs/2406.04291",
"cite": "progress",
"cite": "NeurIPS-2024",
"thread": "",
"doi": "recent.html",
"comment": ""
},
{
"title": "ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights",
"authors": "Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki",
"venues": "",
"year": "2024",
"topics": "a",
"url": "https://arxiv.org/abs/2406.14596",
"cite": "NeurIPS-2024",
"thread": "",
"doi": "recent.html",
"comment": ""
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6 changes: 5 additions & 1 deletion pubs-a.html
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</head>
<body><h3>William W. Cohen's Papers: Applications</h3>
<ol>
<li>Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson and William W. Cohen (2024): <a href="https://arxiv.org/abs/2406.04291">Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation</a> in progress.
<li>Cassandra A. Cohen, William W. Cohen (2024): <a href="https://arxiv.org/abs/2409.15359">Watch Your Steps: Observable and Modular Chains of Thought</a> in preparation.
</li>
<li>Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson and William W. Cohen (2024): <a href="https://arxiv.org/abs/2406.04291">Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation</a> in NeurIPS-2024.
</li>
<li>Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki (2024): <a href="https://arxiv.org/abs/2406.14596">ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights</a> in NeurIPS-2024.
</li>
<li>R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson and William W. Cohen (2024): <a href="http://arxiv.org/abs/2405.06034">Bayesian Prediction-Powered Inference</a> in progress.
</li>
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120 changes: 7 additions & 113 deletions pubs-g.html
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<html><head><title>William W. Cohen's Papers: Learning in Graphs</title>
<html><head><title>William W. Cohen's Papers: GNAT System</title>
<link rel="stylesheet" type="text/css" href="style.css"/>
</head>
<body><h3>William W. Cohen's Papers: Learning in Graphs</h3>
<body><h3>William W. Cohen's Papers: GNAT System</h3>
<ol>
<li>Wenhu Chen, William W. Cohen, Michiel De Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting (2023): <a href="https://arxiv.org/abs/2207.00630">QA Is the New KR: Question-Answer Pairs as Knowledge Bases</a> in AAAI-2023.<br><ul><li><font size=-1>Proposes that symbolic KBs can be replaced with a collection of question-answer pairs automatically generated from a corpus, augmented with entity-linking annotations. Like a symbolic KB, this representation is well-suited to structured queries involving joins and aggregation, and can support 'multi-hop' reasoning. However, it has the advantage that the information in it is closely aligned to likely user information needs, as modeled by the question generation process.</font></ul>
<li>Lidong Bing, William W. Cohen, Bhuwan Dhingra, and Richard C. Wang (2017): <a href="http://arxiv.org/abs/1703.01557">Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction</a> in IJCAI 2017.
</li>
<li>William W. Cohen, Fan Yang, and Kathryn Rivard Mazaitis (2020): <a href="https://jair.org/index.php/jair/article/view/11944/26561">TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure</a> in JAIR.<br><ul><li><font size=-1>Most complete paper on TensorLog, a predecessor of NQL/EmQL that was a Prolog-like logic, not a dataflow query language.</font></ul>
<li>Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen (2017): <a href="http://arxiv.org/abs/1606.03398">Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora</a> in AAAI 2017.
</li>
<li>William W. Cohen, Haitian Sun, Alex Hofer, Matthew Siegler (2019): <a href="http://arxiv.org/abs/1905.10417">Differentiable Representations For Multihop Inference Rules</a> in arxiv.<br><ul><li><font size=-1>Earlier version of ICLR paper on NQL.</font></ul>
<li>Lidong Bing, William W. Cohen, Bhuwan Dhingra, and Richard C. Wang (2016): <a href="postscript/wakbc-2016.pdf">Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction</a> in WAKBC-2016.
</li>
<li>William W. Cohen, Matthew Siegler, Alex Hofer (2019): <a href="http://arxiv.org/abs/1905.06209">Neural Query Language: A Knowledge Base Query Language for Tensorflow</a> in arxiv.<br><ul><li><font size=-1>Earlier version of ICLR paper on NQL focusing on the language constructs used.</font></ul>
<li>William Yang Wang and William W. Cohen (2016): <a href="postscript/ijcai-2016-yww.pdf">Learning First-Order Logic Embeddings via Matrix Factorization</a> in IJCAI-2016.
</li>
<li>Haitian Sun, Tania Bedrax-Weiss, William W. Cohen (2019): <a href="http://arxiv.org/abs/1904.09537">PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text</a> in EMNLP-2019.
</li>
<li>Haitian Sun, William W. Cohen, Lidong Bing (2018): <a href="http://arxiv.org/abs/1804.09238">Semi-Supervised Learning with Declaratively Specified Entropy Constraints</a> in NIPS-2018.
</li>
<li>Zhilin Yang, Jake (Junbo) Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun (2018): <a href="http://arxiv.org/abs/1806.05662">GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations</a> in NIPS-2018.
</li>
<li>Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, and William W. Cohen (2018): <a href="http://arxiv.org/abs/1809.00782">Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text</a> in EMNLP-2018.
</li>
<li>Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov (2018): <a href="https://www.aclweb.org/anthology/N18-2007/">Neural Models for Reasoning over Multiple Mentions using Coreference</a> in NAACL-2018.
</li>
<li>Fan Yang, Zhilin Yang, William W. Cohen (2017): <a href="postscript/nips-2017-diffrule.pdf">Differentiable Learning of Logical Rules for Knowledge Base Reasoning</a> in NIPS-2017.
</li>
<li>Zihang Dai, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): <a href="postscript/nips-2017-badgan.pdf">Good Semi-supervised Learning that Requires a Bad GAN</a> in NIPS-2017.
</li>
<li>William W. Cohen and Fan Yang (2017): <a href="http://arxiv.org/abs/1707.05390">TensorLog: Deep Learning Meets Probabilistic Databases</a> in arxiv.org 1707.05390.
</li>
<li>Bhuwan Dhingra, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): <a href="http://arxiv.org/abs/1703.02620">Linguistic Knowledge as Memory for Recurrent Neural Networks</a> in arxiv 1703.02620.
</li>
<li>William W. Cohen (2016): <a href="http://arxiv.org/abs/1605.06523">TensorLog: A Differentiable Deductive Database</a> in arxiv.org 1605.06523.
</li>
<li>Douglas R. Pierce, David P. Redlawsk, and William W. Cohen (2016): <a href="http://em.rdcu.be/wf/click?upn=KP7O1RED-2BlD0F9LDqGVeSGkOkKPKLsLE67VQlcXrznM-3D_443SnMoetQVzTlRw2Szaz0NKknJYwbdlHMxFMuGJYi1jbemnhvWISdgE0sI608J7-2F9X5K6SrMGQ5YBhTIfZrUcghyTae3gytqZB9IKnvLz62-2BtGK-2BEp3S3XmNfeqAOnwrgpMFHiji-2BOBwZvpEY5PjIcCLMLJ1Geo8DaYsb5cnSCCh9qNxkO2jXj5yIRypWVrzStRPnw3NFl6BJOBiHsoZ5I0-2BatSbL559SplH3znXmY-3D">Social Influences on Online Political Information Search and Evaluation</a> in Political Behavior DOI 10.1007/s11109-016-9374-4.
</li>
<li>Zhilin Yang, Jei Tang, and William W. Cohen (2016): <a href="postscript/ijcai-2016-zy.pdf">Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs</a> in IJCAI-2016.
<li>Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): <a href="http://arxiv.org/abs/1603.08861">Revisiting Semi-Supervised Learning with Graph Embeddings</a> in ICML-2016.
</li>
<li>Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen (2016): <a href="postscript/aaai-2016.pdf">Distant IE by Bootstrapping Using Lists and Document Structure</a> in AAAI-2016.
</li>
<li>Bhavana Dalvi and Aditya Mishra and William W. Cohen (2016): <a href="postscript/wsdm-2016.pdf">Hierarchical Semi-supervised Classification with Incomplete Class Hierarchies</a> in WSDM-2016.
</li>
<li>Jay Pujara, Hui Miao, Lise Getoor, and William W. Cohen (2015): <a href="postscript/ai-mag-2015.pdf">Using semantics and statistics to turn data into knowledge</a> in AI Magazine 2015.
</li>
<li>Lidong Bing, Sneha Chaudhari, Richard C. Wang, and William W. Cohen (2015): <a href="postscript/emnlp-2015-baidu.pdf">Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists</a> in EMNLP-2015.
</li>
<li>Ramnath Balasubramanyan and William W. Cohen (2014): <a href="http://www.crcpress.com/product/isbn/9781466504080">Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links</a> in Handbook of Mixed Membership Models and Their Applications.
</li>
<li>Partha Pratim Talukdar and William W. Cohen (2014): <a href="postscript/ai-stats-2014.pdf">Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch</a> in AI-Stats 2014.
</li>
<li>Frank Lin and William W. Cohen (2012): <a href="postscript/icdm-2012.pdf">A General and Scalable Approach to Mixed Membership Clustering</a> in ICDM-2012.
</li>
<li>Ramnath Balasubramanyan and William W. Cohen (2012): <a href="postscript/mlg-2012.pdf">Entropic Regularization of Mixed-membership Network Models using Pseudo-observations</a> in MLG-2012.
</li>
<li>Ramnath Balasubramanyan, Kathryn Rivard, William W. Cohen, Jelena Jakovljevic and John Woolford (2012): <a href="postscript/bionlp-2012-network.pdf">Evaluating Joint Modeling of Yeast Biology Literature and Protein-Protein Interaction Networks</a> in BioNLP-2012.
</li>
<li>Ni Lao, Tom Mitchell, and William W. Cohen (2011): <a href="postscript/emnlp-2011.pdf">Random Walk Inference and Learning in A Large Scale Knowledge Base</a> in EMNLP-2011.
</li>
<li>Frank Lin and William W. Cohen (2011): <a href="postscript/mlg-2011.pdf">Adaptation of Graph-Based Semi-Supervised Methods to Large-Scale Text Data</a> in MLG-2011.
</li>
<li>Ramnath Balasubramanyan and William W. Cohen (2011): <a href="postscript/sdm-2011-sub.pdf">Block-LDA: Jointly modeling entity-annotated text and entity-entity links</a> in SDM-2011.
</li>
<li>Ramnath Balasubramanyan, Frank Lin, and William W. Cohen (2010): <a href="postscript/nipsws-2010-sub.pdf">Node Clustering in Graphs: An Empirical Study</a> in NIPS-2010 Workshop on Networks Across Disciplines.
</li>
<li>Philip Stutz, Abraham Bernstein and William W. Cohen (2010): <a href="postscript/iswc-2010.pdf">Signal/Collect: Graph Algorithms for the (Semantic) Web</a> in ISWC-2010.
</li>
<li>Einat Minkov and William W. Cohen (2010): <a href="postscript/tois-ghirl.pdf">Improving Graph-Walk Based Similarity with Reranking: Case Studies for Personal Information Management</a> in TOIS-2010.
</li>
<li>Ni Lao and William W. Cohen (2010): <a href="postscript/ecml-2010-ni.pdf">Relational Retrieval Using a Combination of Path-Constrained Random Walks</a> in ECML-2010 and MLJ-2010 Special Issue.
</li>
<li>Frank Lin and William W. Cohen (2010): <a href="postscript/asonam2010-final.pdf">Semi-Supervised Classification of Network Data Using Very Few Labels</a> in ASONAM-2010.
</li>
<li>Ramnath Balasubramanyan and William W. Cohen (2010): <a href="postscript/icml-workshop-2010.pdf">Block-LDA: Jointly modeling entity-annotated text and entity-entity links</a> in ICML-2010 Workshop on Topic Modeling.
</li>
<li>Frank Lin and William W. Cohen (2010): <a href="postscript/icml2010-pic-final.pdf">Power Iteration Clustering</a> in ICML-2010.
</li>
<li>Frank Lin and William W. Cohen (2010): <a href="postscript/ecai2010-pic-final.pdf">A Very Fast Method for Clustering Big Text Datasets</a> in ECAI-2010.
</li>
<li>Ni Lao and William W. Cohen (2010): <a href="postscript/kdd-2010-ni.pdf">Fast Query Execution for Retrieval Models based on Path Constrained Random Walks</a> in KDD-2010.
</li>
<li>William Cohen (2009): <a href="http://reports-archive.adm.cs.cmu.edu/anon/ml2010/CMU-ML-10-102.pdf">Graph Walks and Graphical Models</a> in SCS Technical Report Collection.
</li>
<li>Ramnath Balasubramanyan, Frank Lin, William W. Cohen, Noah A. Smith, and Matthew Hurst (2009): <a href="postscript/icwsm-2009-saga-final.pdf">From Episodes to Sagas: Understanding the News by Identifying Temporally Related Story Sequences</a> in ICWSM-2009 (poster).
</li>
<li>Andrew Arnold and William W. Cohen (2009): <a href="postscript/snas-2009.pdf">Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection</a> in WASA-2009.
</li>
<li>Andrew Arnold and William W. Cohen (2009): <a href="postscript/icwsm-2009-aa-final.pdf">Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection</a> in ICWSM-2009 (poster).
</li>
<li>Einat Minkov and William W. Cohen (2008): <a href="postscript/emnlp-2008-einat.pdf">Learning Graph Walk Based Similarity Measures for Parsed Text</a> in EMNLP-2008.
</li>
<li>Einat Minkov, Ramnath Balasubramanyan, and William W. Cohen (2008): <a href="postscript/aaai-ws-2008-einat.pdf">Activity-centric Search in Email</a> in AAAI-2008 Workshop on Enhanced Messaging.
</li>
<li>Einat Minkov and William W. Cohen (2008): <a href="postscript/tr-einat-2008.pdf">Learning to Walk Structured Text Networks</a> in CMU SCS Technical Report Series (CMU-LTI-08-02).
</li>
<li>Ramesh Nallapati, Amr Ahmed, Eric Xing, and William W. Cohen (2008): <a href="postscript/kdd-2008-ramesh.pdf">Joint Latent Topic Models for Text and Citations</a> in KDD-2008.
</li>
<li>Ramesh Nallapati and William W. Cohen (2008): <a href="postscript/icwsm-2007-ramesh.pdf">Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs</a> in ICWSM-2008.
</li>
<li>Frank Lin and William W. Cohen (2008): <a href="postscript/icwsm-2007-frank-abstract.pdf">The MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classification</a> in ICWSM-2008 (poster).
</li>
<li>Frank Lin and William W. Cohen (2008): <a href="postscript/CMU-LTI-08-003.pdf">The MultiRank Bootstrap Algorithm: SemiSupervised Political Blog Classification and Ranking Using SemiSupervised Link Classification</a> in CMU SCS Technical Report Series (CMU-LTI-08-03).
</li>
<li>Einat Minkov and William Cohen (2007): <a href="postscript/webkdd-2007.pdf">Learning to Rank Typed Graph Walks: Local and Global Approaches</a> in WebKDD-2007.
</li>
<li>Vitor Carvalho, Wen Wu and William Cohen (2007): <a href="postscript/ceas-2007.pdf">Discovering Leadership Roles in Email Workgroups</a> in CEAS-2007.
</li>
<li>Zhenzhen Kou, Vitor Carvalho and William Cohen (2007): <a href="postscript/nipsws-2007.pdf">Online Stacked Graphical Learning</a> in NIPS-07 Workshop on Efficient Machine Learning .
</li>
<li>Zhenzhen Kou and William W. Cohen (2007): <a href="postscript/sdm-2007-stack.pdf">Stacked Graphical Models for Efficient Inference in Markov Random Fields</a> in SDM-2007.
</li>
<li>Zhenzhen Kou, William W. Cohen, and Robert F. Murphy (2007): <a href="postscript/psb-2007-stack.pdf">A Stacked Graphical Model for Associating Information from Text And Images In Figures</a> in PSB-2007.
</li>
<li>Einat Minkov and William W. Cohen (2006): <a href="postscript/ceas2006.pdf">An Email and Meeting Assistant using Graph Walks</a> in CEAS-2006.
</li>
<li>Einat Minkov, Andrew Ng and William W. Cohen (2006): <a href="postscript/sigir2006.pdf">Contextual Search and Name Disambiguation in Email using Graphs </a> in SIGIR-2006.
</li>
<li>William W. Cohen (2006): <a href="postscript/bio-ont-ws-2006.pdf">A Graph-Search Framework for GeneId Ranking (Extended Abstract)</a> in BioNLP'06.
</li>
<li>William W. Cohen & Einat Minkov (2006): <a href="http://www.biomedcentral.com/content/pdf/1471-2105-7-440.pdf">A Graph-Search Framework for Associating Gene Identifiers with Documents</a> in BMC Bioinformatics.
</li>
<li>William W. Cohen (2003): <a href="postscript/deb-2003.pdf">Learning and Discovering Structure in Web Pages</a> in IEEE Data Eng. Bull. 26(3): 3-10 (2003).
</li>
<li>William W. Cohen, Andrew McCallum, Dallan Quass (2000): <a href="http://www.research.microsoft.com/research/db/debull/A00sept/cohen.ps">Learning to Understand the Web</a> in IEEE Data Eng. Bull. 23(3): 17-24 (2000).
</li>
<li>William W. Cohen (1998): <a href="http://www.computer.org/intelligent/ex1998/pdf/x5012.pdf">The WHIRL Approach to Information Integration</a> in IEEE Intelligent Systems, Sept/Oct 1998, pp 20--23.
</li>
</ol>
<p align="center">[<a href="pubs-s.html">Selected papers</a>| By topic: <a href="pubs-G.html">GNAT System</a>| <a href="pubs-R.html">Retrieval Augmented LMs</a>| <a href="pubs-a.html">Applications</a>| <a href="pubs-c.html">Collaborative Filtering</a>| <a href="pubs-d.html">Intelligent Tutoring</a>| <a href="pubs-e.html">Explanation-Based Learning</a>| <a href="pubs-f.html">Formal Results</a>| <a href="pubs-g.html">Learning in Graphs</a>| <a href="pubs-i.html">Inductive Logic Programming</a>| <a href="pubs-k.html">Neural Knowledge Representation</a>| <a href="pubs-l.html">Topic Modeling</a>| <a href="pubs-m.html">Matching/Data Integration</a>| <a href="pubs-n.html">Deep Learning</a>| <a href="pubs-p.html">Prediction-powered inference</a>| <a href="pubs-r.html">Rule Learning</a>| <a href="pubs-t.html">Text Categorization</a>| <a href="pubs-x.html">Info Extraction/Reading/QA</a>| By year: <a href="pubs.html">All papers</a>]</p>
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