Towards Adequate Knowledge and Natural Inference. - Lenhart K. Schubert; Jonathan Gordon 001; Karl Stratos; Adina Rubinoff (AAAI Fall Symposium: Advances in Cognitive Systems, 2011)

Episodic Logic: Natural Logic + Reasoning. - Karl Stratos; Lenhart K. Schubert; Jonathan Gordon 001 (KEOD, 2011)

Spectral Learning of Latent-Variable PCFGs. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (ACL (1), 2012)

Understanding and predicting importance in images. - Alexander C. Berg; Tamara L. Berg; Hal Daumé III; Jesse Dodge; Amit Goyal 001; Xufeng Han; Alyssa C. Mensch; Margaret Mitchell; Aneesh Sood; Karl Stratos; Kota Yamaguchi (CVPR, 2012)

Midge: Generating Image Descriptions From Computer Vision Detections. - Margaret Mitchell; Jesse Dodge; Amit Goyal 001; Kota Yamaguchi; Karl Stratos; Xufeng Han; Alyssa C. Mensch; Alexander C. Berg; Tamara L. Berg; Hal Daumé III (EACL, 2012)

Detecting Visual Text. - Jesse Dodge; Amit Goyal 001; Xufeng Han; Alyssa C. Mensch; Margaret Mitchell; Karl Stratos; Kota Yamaguchi; Yejin Choi 001; Hal Daumé III; Alexander C. Berg; Tamara L. Berg (HLT-NAACL, 2012)

Spectral Learning of Refinement HMMs. - Karl Stratos; Alexander M. Rush; Shay B. Cohen; Michael Collins 001 (CoNLL, 2013)

Spectral Learning Algorithms for Natural Language Processing. - Shay B. Cohen; Michael Collins 001; Dean P. Foster; Karl Stratos; Lyle H. Ungar (HLT-NAACL, 2013)

Experiments with Spectral Learning of Latent-Variable PCFGs. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (HLT-NAACL, 2013)

A Spectral Algorithm for Learning Class-Based n-gram Models of Natural Language. - Karl Stratos; Do-kyum Kim; Michael Collins 001; Daniel J. Hsu (UAI, 2014)

Spectral learning of latent-variable PCFGs: algorithms and sample complexity. - Shay B. Cohen; Karl Stratos; Michael Collins 001; Dean P. Foster; Lyle H. Ungar (J. Mach. Learn. Res., 2014)

Compact Lexicon Selection with Spectral Methods. - Young-Bum Kim; Karl Stratos; Xiaohu Liu; Ruhi Sarikaya (ACL (2), 2015)

Pre-training of Hidden-Unit CRFs. - Young-Bum Kim; Karl Stratos; Ruhi Sarikaya (ACL (2), 2015)

New Transfer Learning Techniques for Disparate Label Sets. - Young-Bum Kim; Karl Stratos; Ruhi Sarikaya; Minwoo Jeong (ACL (1), 2015)

Model-based Word Embeddings from Decompositions of Count Matrices. - Karl Stratos; Michael Collins 001; Daniel J. Hsu (ACL (1), 2015)

Weakly Supervised Slot Tagging with Partially Labeled Sequences from Web Search Click Logs. - Young-Bum Kim; Minwoo Jeong; Karl Stratos; Ruhi Sarikaya (HLT-NAACL, 2015)

Simple Semi-Supervised POS Tagging. - Karl Stratos; Michael Collins 001 (VS@HLT-NAACL, 2015)

LN-Annote: An Alternative Approach to Information Extraction from Emails using Locally-Customized Named-Entity Recognition. - YoungHoon Jung; Karl Stratos; Luca P. Carloni (WWW, 2015)

Scalable Semi-Supervised Query Classification Using Matrix Sketching. - Young-Bum Kim; Karl Stratos; Ruhi Sarikaya (ACL (2), 2016)

Frustratingly Easy Neural Domain Adaptation. - Young-Bum Kim; Karl Stratos; Ruhi Sarikaya (COLING, 2016)

Domainless Adaptation by Constrained Decoding on a Schema Lattice. - Young-Bum Kim; Karl Stratos; Ruhi Sarikaya (COLING, 2016)

A Probabilistic Ranking Model for Audio Stream Retrieval. - YoungHoon Jung; Jaehwan Koo; Karl Stratos; Luca P. Carloni (MARMI@ICMR, 2016)

Mention2Vec: Entity Identification as Multitasking. - Karl Stratos (CoRR, 2016)

Large Scale Retrieval and Generation of Image Descriptions. - Vicente Ordonez; Xufeng Han; Polina Kuznetsova; Girish Kulkarni; Margaret Mitchell; Kota Yamaguchi; Karl Stratos; Amit Goyal 001; Jesse Dodge; Alyssa C. Mensch; Hal Daumé III; Alexander C. Berg; et al. (Int. J. Comput. Vis., 2016)

Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models. - Karl Stratos; Michael Collins 001; Daniel J. Hsu (Trans. Assoc. Comput. Linguistics, 2016)

Spectral Methods for Natural Language Processing. - Karl Stratos (2016)

Domain Attention with an Ensemble of Experts. - Young-Bum Kim; Karl Stratos; Dongchan Kim (ACL (1), 2017)

Adversarial Adaptation of Synthetic or Stale Data. - Young-Bum Kim; Karl Stratos; Dongchan Kim (ACL (1), 2017)

ONENET: Joint domain, intent, slot prediction for spoken language understanding. - Young-Bum Kim; Sungjin Lee; Karl Stratos (ASRU, 2017)

A Sub-Character Architecture for Korean Language Processing. - Karl Stratos (EMNLP, 2017)

Reconstruction of Word Embeddings from Sub-Word Parameters. - Karl Stratos (SWCN@EMNLP, 2017)

Entity Identification as Multitasking. - Karl Stratos (SPNLP@EMNLP, 2017)

A Framework for pre-training hidden-unit conditional random fields and its extension to long short term memory networks. - Young-Bum Kim; Karl Stratos; Ruhi Sarikaya (Comput. Speech Lang., 2017)

Inter-Annotator Agreement Networks. - Karl Stratos (CoRR, 2018)

Label-Agnostic Sequence Labeling by Copying Nearest Neighbors. - Sam Wiseman; Karl Stratos (ACL (1), 2019)

EntEval: A Holistic Evaluation Benchmark for Entity Representations. - Mingda Chen; Zewei Chu; Yang Chen; Karl Stratos; Kevin Gimpel (EMNLP/IJCNLP (1), 2019)

Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction. - Karl Stratos (NAACL-HLT (1), 2019)

Discrete Latent Variable Representations for Low-Resource Text Classification. - Shuning Jin; Sam Wiseman; Karl Stratos; Karen Livescu (ACL, 2020)

Formal Limitations on the Measurement of Mutual Information. - David McAllester; Karl Stratos (AISTATS, 2020)

Mining Knowledge for Natural Language Inference from Wikipedia Categories. - Mingda Chen; Zewei Chu; Karl Stratos; Kevin Gimpel (EMNLP (Findings), 2020)

Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information. - Karl Stratos; Sam Wiseman (ICML, 2020)

Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets. - Zewei Chu; Karl Stratos; Kevin Gimpel (CoRR, 2020)

kōan: A Corrected CBOW Implementation. - Ozan Irsoy; Adrian Benton; Karl Stratos (CoRR, 2020)

Fast and Effective Biomedical Entity Linking Using a Dual Encoder. - Rajarshi Bhowmik; Karl Stratos; Gerard de Melo (LOUHI@EACL, 2021)

Unsupervised Label Refinement Improves Dataless Text Classification. - Zewei Chu; Karl Stratos; Kevin Gimpel (ACL/IJCNLP (Findings), 2021)

NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources. - Zewei Chu; Karl Stratos; Kevin Gimpel (AKBC, 2021)

Data-to-text Generation by Splicing Together Nearest Neighbors. - Sam Wiseman; Arturs Backurs; Karl Stratos (EMNLP (1), 2021)

Understanding Hard Negatives in Noise Contrastive Estimation. - Wenzheng Zhang 003; Karl Stratos (NAACL-HLT, 2021)

Generating (Formulaic) Text by Splicing Together Nearest Neighbors. - Sam Wiseman; Arturs Backurs; Karl Stratos (CoRR, 2021)

EntQA: Entity Linking as Question Answering. - Wenzheng Zhang 003; Wenyue Hua; Karl Stratos (ICLR, 2022)

Seq2seq is All You Need for Coreference Resolution. - Wenzheng Zhang 003; Sam Wiseman; Karl Stratos (EMNLP, 2023)

Improving Multitask Retrieval by Promoting Task Specialization. - Wenzheng Zhang 003; Chenyan Xiong; Karl Stratos; Arnold Overwijk (Trans. Assoc. Comput. Linguistics, 2023)

Model Editing by Standard Fine-Tuning. - Govind Krishnan Gangadhar; Karl Stratos (ACL (Findings), 2024)

Model Editing by Pure Fine-Tuning. - Govind Krishnan Gangadhar; Karl Stratos (CoRR, 2024)

The Impact of Visual Information in Chinese Characters: Evaluating Large Models' Ability to Recognize and Utilize Radicals. - Xiaofeng Wu; Karl Stratos; Wei Xu (NAACL (Long Papers), 2025)

Rethinking Reflection in Pre-Training. - Darsh J. Shah; Peter Rushton; Somanshu Singla; Mohit Parmar; Kurt Smith; Yash Vanjani; Ashish Vaswani; Adarsh Chaluvaraju; Andrew Hojel; Andrew Ma; Anil Thomas; Anthony M. Polloreno; et al. (CoRR, 2025)

Practical Efficiency of Muon for Pretraining. - Ishaan Shah; Anthony M. Polloreno; Karl Stratos; Philip Monk; Adarsh Chaluvaraju; Andrew Hojel; Andrew Ma; Anil Thomas; Ashish Tanwer; Darsh J. Shah; Khoi Nguyen; Kurt Smith; et al. (CoRR, 2025)

ImpRAG: Retrieval-Augmented Generation with Implicit Queries. - Wenzheng Zhang; Xi Victoria Lin; Karl Stratos; Wen-tau Yih; Mingda Chen (CoRR, 2025)

Essential-Web v1.0: 24T tokens of organized web data. - Andrew Hojel; Michael Pust; Tim Romanski; Yash Vanjani; Ritvik Kapila; Mohit Parmar; Adarsh Chaluvaraju; Alok Tripathy; Anil Thomas; Ashish Tanwer; Darsh J. Shah; Ishaan Shah; et al. (CoRR, 2025)