Support vector machines for multi-class pattern recognition. - Jason Weston; Chris Watkins (ESANN, 1999)

Leave-One-Out Support Vector Machines. - Jason Weston (IJCAI, 1999)

Transductive Inference for Estimating Values of Functions. - Olivier Chapelle; Vladimir Vapnik; Jason Weston (NIPS, 1999)

Invariant Feature Extraction and Classification in Kernel Spaces. - Sebastian Mika; Gunnar Rätsch; Jason Weston; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller (NIPS, 1999)

Vicinal Risk Minimization. - Olivier Chapelle; Jason Weston; Léon Bottou; Vladimir Vapnik (NIPS, 2000)

Feature Selection for SVMs. - Jason Weston; Sayan Mukherjee 001; Olivier Chapelle; Massimiliano Pontil; Tomaso A. Poggio; Vladimir Vapnik (NIPS, 2000)

Extensions to the support vector method. - Jason Aaron Edward Weston (2000)

A kernel method for multi-labelled classification. - André Elisseeff; Jason Weston (NIPS, 2001)

Gene functional classification from heterogeneous data. - Paul Pavlidis; Jason Weston; Jinsong Cai; William Noble Grundy (RECOMB, 2001)

Cluster Kernels for Semi-Supervised Learning. - Olivier Chapelle; Jason Weston; Bernhard Schölkopf (NIPS, 2002)

Mismatch String Kernels for SVM Protein Classification. - Christina S. Leslie; Eleazar Eskin; Jason Weston; William Stafford Noble (NIPS, 2002)

Kernel Dependency Estimation. - Jason Weston; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf; Vladimir Vapnik (NIPS, 2002)

A Kernel Approach for Learning from Almost Orthogonal Patterns. - Bernhard Schölkopf; Jason Weston; Eleazar Eskin; Christina S. Leslie; William Stafford Noble (PKDD, 2002)

Learning Gene Functional Classifications from Multiple Data Types. - Paul Pavlidis; Jason Weston; Jinsong Cai; William Stafford Noble (J. Comput. Biol., 2002)

Gene Selection for Cancer Classification using Support Vector Machines. - Isabelle Guyon; Jason Weston; Stephen Barnhill; Vladimir Vapnik (Mach. Learn., 2002)

Learning to Find Pre-Images. - Gökhan H. Bakir; Jason Weston; Bernhard Schölkopf (NIPS, 2003)

Prediction on Spike Data Using Kernel Algorithms. - Jan Eichhorn; Andreas S. Tolias; Alexander Zien; Malte Kuss; Carl Edward Rasmussen; Jason Weston; Nikos K. Logothetis; Bernhard Schölkopf (NIPS, 2003)

Semi-supervised Protein Classification Using Cluster Kernels. - Jason Weston; Christina S. Leslie; Dengyong Zhou; André Elisseeff; William Stafford Noble (NIPS, 2003)

Learning with Local and Global Consistency. - Dengyong Zhou; Olivier Bousquet; Thomas Navin Lal; Jason Weston; Bernhard Schölkopf (NIPS, 2003)

Ranking on Data Manifolds. - Dengyong Zhou; Jason Weston; Arthur Gretton; Olivier Bousquet; Bernhard Schölkopf (NIPS, 2003)

Feature selection and transduction for prediction of molecular bioactivity for drug design. - Jason Weston; Fernando Pérez-Cruz; Olivier Bousquet; Olivier Chapelle; André Elisseeff; Bernhard Schölkopf (Bioinform., 2003)

Use of the Zero-Norm with Linear Models and Kernel Methods. - Jason Weston; André Elisseeff; Bernhard Schölkopf; Michael E. Tipping (J. Mach. Learn. Res., 2003)

Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. - Sebastian Mika; Gunnar Rätsch; Jason Weston; Bernhard Schölkopf; Alexander J. Smola; Klaus-Robert Müller (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Breaking SVM Complexity with Cross-Training. - Gökhan H. Bakir; Léon Bottou; Jason Weston (NIPS, 2004)

Mismatch string kernels for discriminative protein classification. - Christina S. Leslie; Eleazar Eskin; Adiel Cohen; Jason Weston; William Stafford Noble (Bioinform., 2004)

Support vector channel selection in BCI. - Thomas Navin Lal; Michael Schröder 002; Thilo Hinterberger; Jason Weston; Martin Bogdan; Niels Birbaumer; Bernhard Schölkopf (IEEE Trans. Biomed. Eng., 2004)

Online (and Offline) on an Even Tighter Budget. - Jason Weston; Antoine Bordes; Léon Bottou (AISTATS, 2005)

A general regression technique for learning transductions. - Corinna Cortes; Mehryar Mohri; Jason Weston (ICML, 2005)

Multi-class protein fold recognition using adaptive codes. - Eugene Ie; Jason Weston; William Stafford Noble; Christina S. Leslie (ICML, 2005)

Joint Kernel Maps. - Jason Weston; Bernhard Schölkopf; Olivier Bousquet (IWANN, 2005)

Motif-based protein ranking by network propagation. - Rui Kuang; Jason Weston; William Stafford Noble; Christina S. Leslie (Bioinform., 2005)

Semi-supervised protein classification using cluster kernels. - Jason Weston; Christina S. Leslie; Eugene Ie; Dengyong Zhou; André Elisseeff; William Stafford Noble (Bioinform., 2005)

Fast Kernel Classifiers with Online and Active Learning. - Antoine Bordes; Seyda Ertekin; Jason Weston; Léon Bottou (J. Mach. Learn. Res., 2005)

Semi-Supervised Protein Classification Using Cluster Kernels. - Jason Weston; Christina S. Leslie; Eugene Ie; William Stafford Noble (Semi-Supervised Learning, 2006)

Embedded Methods. - Thomas Navin Lal; Olivier Chapelle; Jason Weston; André Elisseeff (Feature Extraction, 2006)

Trading convexity for scalability. - Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou (ICML, 2006)

Inference with the Universum. - Jason Weston; Ronan Collobert; Fabian H. Sinz; Léon Bottou; Vladimir Vapnik (ICML, 2006)

Protein Ranking by Semi-Supervised Network Propagation. - Jason Weston; Rui Kuang; Christina S. Leslie; William Stafford Noble (BMC Bioinform., 2006)

Large Scale Transductive SVMs. - Ronan Collobert; Fabian H. Sinz; Jason Weston; Léon Bottou (J. Mach. Learn. Res., 2006)

Fast Semantic Extraction Using a Novel Neural Network Architecture. - Ronan Collobert; Jason Weston (ACL, 2007)

Solving multiclass support vector machines with LaRank. - Antoine Bordes; Léon Bottou; Patrick Gallinari; Jason Weston (ICML, 2007)

Large-Scale Semi-Supervised Learning. - Jason Weston (NATO ASI Mining Massive Data Sets for Security, 2007)

SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition. - Iain Melvin; Eugene Ie; Rui Kuang; Jason Weston; William Stafford Noble; Christina S. Leslie (BMC Bioinform., 2007)

Multi-class Protein Classification Using Adaptive Codes. - Iain Melvin; Eugene Ie; Jason Weston; William Stafford Noble; Christina S. Leslie (J. Mach. Learn. Res., 2007)

The Need for Open Source Software in Machine Learning. - Sören Sonnenburg; Mikio L. Braun; Cheng Soon Ong; Samy Bengio; Léon Bottou; Geoffrey Holmes 001; Yann LeCun; Klaus-Robert Müller; Fernando Pereira 003; Carl Edward Rasmussen; Gunnar Rätsch; Bernhard Schölkopf; et al. (J. Mach. Learn. Res., 2007)

A unified architecture for natural language processing: deep neural networks with multitask learning. - Ronan Collobert; Jason Weston (ICML, 2008)

Large scale manifold transduction. - Michael Karlen; Jason Weston; Ayse Erkan; Ronan Collobert (ICML, 2008)

Deep learning via semi-supervised embedding. - Jason Weston; Frédéric Ratle; Ronan Collobert (ICML, 2008)

Large-Scale Clustering through Functional Embedding. - Frédéric Ratle; Jason Weston; Matthew L. Miller (ECML/PKDD (2), 2008)

Combining classifiers for improved classification of proteins from sequence or structure. - Iain Melvin; Jason Weston; Christina S. Leslie; William Stafford Noble (BMC Bioinform., 2008)

Supervised semantic indexing. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Olivier Chapelle; Kilian Q. Weinberger (CIKM, 2009)

Combining labeled and unlabeled data with word-class distribution learning. - Yanjun Qi; Ronan Collobert; Pavel P. Kuksa; Koray Kavukcuoglu; Jason Weston (CIKM, 2009)

Supervised Semantic Indexing. - Bing Bai; Jason Weston; Ronan Collobert; David Grangier (ECIR, 2009)

Semi-Supervised Sequence Labeling with Self-Learned Features. - Yanjun Qi; Pavel P. Kuksa; Ronan Collobert; Kunihiko Sadamasa; Koray Kavukcuoglu; Jason Weston (ICDM, 2009)

Curriculum learning. - Yoshua Bengio; Jérôme Louradour; Ronan Collobert; Jason Weston (ICML, 2009)

Deep learning from temporal coherence in video. - Hossein Mobahi; Ronan Collobert; Jason Weston (ICML, 2009)

Polynomial Semantic Indexing. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Corinna Cortes; Mehryar Mohri (NIPS, 2009)

RANKPROP: a web server for protein remote homology detection. - Iain Melvin; Jason Weston; Christina S. Leslie; William Stafford Noble (Bioinform., 2009)

Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences. - Antoine Bordes; Nicolas Usunier; Jason Weston (ICML, 2010)

Label Embedding Trees for Large Multi-Class Tasks. - Samy Bengio; Jason Weston; David Grangier (NIPS, 2010)

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. - Pavel P. Kuksa; Yanjun Qi; Bing Bai; Ronan Collobert; Jason Weston; Vladimir Pavlovic 001; Xia Ning (ECML/PKDD (2), 2010)

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. - Yanjun Qi; Öznur Tastan; Jaime G. Carbonell; Judith Klein-Seetharaman; Jason Weston (Bioinform., 2010)

Learning to rank with (a lot of) word features. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Kunihiko Sadamasa; Yanjun Qi; Olivier Chapelle; Kilian Q. Weinberger (Inf. Retr., 2010)

Half Transductive Ranking. - Bing Bai; Jason Weston; David Grangier; Ronan Collobert; Corinna Cortes; Mehryar Mohri (AISTATS, 2010)

Towards Understanding Situated Natural Language. - Antoine Bordes; Nicolas Usunier; Ronan Collobert; Jason Weston (AISTATS, 2010)

Large scale image annotation: learning to rank with joint word-image embeddings. - Jason Weston; Samy Bengio; Nicolas Usunier (Mach. Learn., 2010)

Semisupervised Neural Networks for Efficient Hyperspectral Image Classification. - Frédéric Ratle; Gustavo Camps-Valls; Jason Weston (IEEE Trans. Geosci. Remote. Sens., 2010)

Learning Structured Embeddings of Knowledge Bases. - Antoine Bordes; Jason Weston; Ronan Collobert; Yoshua Bengio (AAAI, 2011)

WSABIE: Scaling Up to Large Vocabulary Image Annotation. - Jason Weston; Samy Bengio; Nicolas Usunier (IJCAI, 2011)

Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces - Jason Weston; Samy Bengio; Philippe Hamel (CoRR, 2011)

Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (CoRR, 2011)

Natural Language Processing (Almost) from Scratch. - Ronan Collobert; Jason Weston; Léon Bottou; Michael Karlen; Koray Kavukcuoglu; Pavel P. Kuksa (J. Mach. Learn. Res., 2011)

Detecting Remote Evolutionary Relationships among Proteins by Large-Scale Semantic Embedding. - Iain Melvin; Jason Weston; William Stafford Noble; Christina S. Leslie (PLoS Comput. Biol., 2011)

Joint Image and Word Sense Discrimination for Image Retrieval. - Aurélien Lucchi; Jason Weston (ECCV (1), 2012)

Learning improved linear transforms for speech recognition. - Andrew W. Senior; Youngmin Cho; Jason Weston (ICASSP, 2012)

Latent Collaborative Retrieval. - Jason Weston; Chong Wang; Ron J. Weiss; Adam Berenzweig (ICML, 2012)

Latent Structured Ranking. - Jason Weston; John Blitzer (UAI, 2012)

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (AISTATS, 2012)

Deep Learning via Semi-supervised Embedding. - Jason Weston; Frédéric Ratle; Hossein Mobahi; Ronan Collobert (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Statistical Learning Theory in Practice. - Jason Weston (Empirical Inference, 2013)

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction. - Jason Weston; Antoine Bordes; Oksana Yakhnenko; Nicolas Usunier (EMNLP, 2013)

Label Partitioning For Sublinear Ranking. - Jason Weston; Ameesh Makadia; Hector Yee (ICML (2), 2013)

Translating Embeddings for Modeling Multi-relational Data. - Antoine Bordes; Nicolas Usunier; Alberto García-Durán; Jason Weston; Oksana Yakhnenko (NIPS, 2013)

Nonlinear latent factorization by embedding multiple user interests. - Jason Weston; Ron J. Weiss; Hector Yee (RecSys, 2013)

Learning to rank recommendations with the k-order statistic loss. - Jason Weston; Hector Yee; Ron J. Weiss (RecSys, 2013)

A Semantic Matching Energy Function for Learning with Multi-relational Data - Xavier Glorot; Antoine Bordes; Jason Weston; Yoshua Bengio (ICLR (Workshop Poster), 2013)

Affinity Weighted Embedding - Jason Weston; Ron J. Weiss; Hector Yee (ICLR (Workshop), 2013)

Irreflexive and Hierarchical Relations as Translations - Antoine Bordes; Nicolas Usunier; Alberto García-Durán; Jason Weston; Oksana Yakhnenko (CoRR, 2013)

Semantic Frame Identification with Distributed Word Representations. - Karl Moritz Hermann; Dipanjan Das 001; Jason Weston; Kuzman Ganchev (ACL (1), 2014)

Deep Learning for Character-Based Information Extraction. - Yanjun Qi; Sujatha G. Das; Ronan Collobert; Jason Weston (ECIR, 2014)

Question Answering with Subgraph Embeddings. - Antoine Bordes; Sumit Chopra; Jason Weston (EMNLP, 2014)

#TagSpace: Semantic Embeddings from Hashtags. - Jason Weston; Sumit Chopra; Keith Adams (EMNLP, 2014)

Open Question Answering with Weakly Supervised Embedding Models. - Antoine Bordes; Jason Weston; Nicolas Usunier (ECML/PKDD (1), 2014)

Training highly multiclass classifiers. - Maya R. Gupta; Samy Bengio; Jason Weston (J. Mach. Learn. Res., 2014)

Introduction to the special issue on learning semantics. - Antoine Bordes; Léon Bottou; Ronan Collobert; Dan Roth 001; Jason Weston; Luke Zettlemoyer (Mach. Learn., 2014)

A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation. - Antoine Bordes; Xavier Glorot; Jason Weston; Yoshua Bengio (Mach. Learn., 2014)

Learning semantic representations of objects and their parts. - Grégoire Mesnil; Antoine Bordes; Jason Weston; Gal Chechik; Yoshua Bengio (Mach. Learn., 2014)

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution. - Sam Wiseman; Alexander M. Rush; Stuart M. Shieber; Jason Weston (ACL (1), 2015)

A Neural Attention Model for Abstractive Sentence Summarization. - Alexander M. Rush; Sumit Chopra; Jason Weston (EMNLP, 2015)

User Conditional Hashtag Prediction for Images. - Emily Denton; Jason Weston; Manohar Paluri; Lubomir D. Bourdev; Rob Fergus (KDD, 2015)

End-To-End Memory Networks. - Sainbayar Sukhbaatar; Arthur Szlam; Jason Weston; Rob Fergus (NIPS, 2015)

Large-scale Simple Question Answering with Memory Networks. - Antoine Bordes; Nicolas Usunier; Sumit Chopra; Jason Weston (CoRR, 2015)

Weakly Supervised Memory Networks. - Sainbayar Sukhbaatar; Arthur Szlam; Jason Weston; Rob Fergus (CoRR, 2015)

Memory Networks. - Jason Weston; Sumit Chopra; Antoine Bordes (ICLR, 2015)

Key-Value Memory Networks for Directly Reading Documents. - Alexander H. Miller; Adam Fisch; Jesse Dodge; Amir-Hossein Karimi; Antoine Bordes; Jason Weston (EMNLP, 2016)

Dialog-based Language Learning. - Jason Weston (NIPS, 2016)

Learning End-to-End Goal-Oriented Dialog. - Antoine Bordes; Jason Weston (CoRR, 2016)

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems. - Jesse Dodge; Andreea Gane; Xiang Zhang 013; Antoine Bordes; Sumit Chopra; Alexander H. Miller; Arthur Szlam; Jason Weston (ICLR (Poster), 2016)

The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations. - Felix Hill; Antoine Bordes; Sumit Chopra; Jason Weston (ICLR, 2016)

Learning Through Dialogue Interactions. - Jiwei Li; Alexander H. Miller; Sumit Chopra; Marc'Aurelio Ranzato; Jason Weston (CoRR, 2016)

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks. - Jason Weston; Antoine Bordes; Sumit Chopra; Tomás Mikolov (ICLR (Poster), 2016)

Reading Wikipedia to Answer Open-Domain Questions. - Danqi Chen 001; Adam Fisch; Jason Weston; Antoine Bordes (ACL (1), 2017)

ParlAI: A Dialog Research Software Platform. - Alexander H. Miller; Will Feng; Dhruv Batra; Antoine Bordes; Adam Fisch; Jiasen Lu; Devi Parikh; Jason Weston (EMNLP (System Demonstrations), 2017)

Learning End-to-End Goal-Oriented Dialog. - Antoine Bordes; Y-Lan Boureau; Jason Weston (ICLR, 2017)

Tracking the World State with Recurrent Entity Networks. - Mikael Henaff; Jason Weston; Arthur Szlam; Antoine Bordes; Yann LeCun (ICLR (Poster), 2017)

Dialogue Learning With Human-in-the-Loop. - Jiwei Li; Alexander H. Miller; Sumit Chopra; Marc'Aurelio Ranzato; Jason Weston (ICLR (Poster), 2017)

Learning through Dialogue Interactions by Asking Questions. - Jiwei Li; Alexander H. Miller; Sumit Chopra; Marc'Aurelio Ranzato; Jason Weston (ICLR (Poster), 2017)

Memory Networks for Recommendation. - Jason Weston (RecSys, 2017)

StarSpace: Embed All The Things! - Ledell Yu Wu; Adam Fisch; Sumit Chopra; Keith Adams; Antoine Bordes; Jason Weston (AAAI, 2018)

Personalizing Dialogue Agents: I have a dog, do you have pets too? - Saizheng Zhang; Emily Dinan; Jack Urbanek; Arthur Szlam; Douwe Kiela; Jason Weston (ACL (1), 2018)

Jump to better conclusions: SCAN both left and right. - Jasmijn Bastings; Marco Baroni; Jason Weston; Kyunghyun Cho; Douwe Kiela (BlackboxNLP@EMNLP, 2018)

Retrieve and Refine: Improved Sequence Generation Models For Dialogue. - Jason Weston; Emily Dinan; Alexander H. Miller (SCAI@EMNLP, 2018)

Emergent Translation in Multi-Agent Communication. - Jason Lee 002; Kyunghyun Cho; Jason Weston; Douwe Kiela (ICLR (Poster), 2018)

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent. - Zhilin Yang 001; Saizheng Zhang; Jack Urbanek; Will Feng; Alexander H. Miller; Arthur Szlam; Douwe Kiela; Jason Weston (ICLR (Poster), 2018)

Vehicle Community Strategies. - Cinjon Resnick; Ilya Kulikov; Kyunghyun Cho; Jason Weston (CoRR, 2018)

Talk the Walk: Navigating New York City through Grounded Dialogue. - Harm de Vries; Kurt Shuster 001; Dhruv Batra; Devi Parikh; Jason Weston; Douwe Kiela (CoRR, 2018)

Importance of a Search Strategy in Neural Dialogue Modelling. - Ilya Kulikov; Alexander H. Miller; Kyunghyun Cho; Jason Weston (CoRR, 2018)

Engaging Image Chat: Modeling Personality in Grounded Dialogue. - Kurt Shuster 001; Samuel Humeau 001; Antoine Bordes; Jason Weston (CoRR, 2018)

ELI5: Long Form Question Answering. - Angela Fan; Yacine Jernite; Ethan Perez; David Grangier; Jason Weston; Michael Auli (ACL (1), 2019)

Learning from Dialogue after Deployment: Feed Yourself, Chatbot! - Braden Hancock; Antoine Bordes; Pierre-Emmanuel Mazaré; Jason Weston (ACL (1), 2019)

Dialogue Natural Language Inference. - Sean Welleck; Jason Weston; Arthur Szlam; Kyunghyun Cho (ACL (1), 2019)

Engaging Image Captioning via Personality. - Kurt Shuster 001; Samuel Humeau 001; Hexiang Hu; Antoine Bordes; Jason Weston (CVPR, 2019)

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack. - Emily Dinan; Samuel Humeau 001; Bharath Chintagunta; Jason Weston (EMNLP/IJCNLP (1), 2019)

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. - Dongyeop Kang; Anusha Balakrishnan; Pararth Shah; Paul A. Crook; Y-Lan Boureau; Jason Weston (EMNLP/IJCNLP (1), 2019)

Finding Generalizable Evidence by Learning to Convince Q&A Models. - Ethan Perez; Siddharth Karamcheti; Rob Fergus; Jason Weston; Douwe Kiela; Kyunghyun Cho (EMNLP/IJCNLP (1), 2019)

Learning to Speak and Act in a Fantasy Text Adventure Game. - Jack Urbanek; Angela Fan; Siddharth Karamcheti; Saachi Jain; Samuel Humeau 001; Emily Dinan; Tim Rocktäschel; Douwe Kiela; Arthur Szlam; Jason Weston (EMNLP/IJCNLP (1), 2019)

Wizard of Wikipedia: Knowledge-Powered Conversational Agents. - Emily Dinan; Stephen Roller; Kurt Shuster 001; Angela Fan; Michael Auli; Jason Weston (ICLR (Poster), 2019)

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling. - Ilia Kulikov; Alexander H. Miller; Kyunghyun Cho; Jason Weston (INLG, 2019)

What makes a good conversation? How controllable attributes affect human judgments. - Abigail See; Stephen Roller; Douwe Kiela; Jason Weston (NAACL-HLT (1), 2019)

The Second Conversational Intelligence Challenge (ConvAI2). - Emily Dinan; Varvara Logacheva; Valentin Malykh; Alexander H. Miller; Kurt Shuster 001; Jack Urbanek; Douwe Kiela; Arthur Szlam; Iulian Serban; Ryan Lowe; Shrimai Prabhumoye; Alan W. Black; et al. (CoRR, 2019)

Real-time Inference in Multi-sentence Tasks with Deep Pretrained Transformers. - Samuel Humeau 001; Kurt Shuster 001; Marie-Anne Lachaux; Jason Weston (CoRR, 2019)

Why Build an Assistant in Minecraft? - Arthur Szlam; Jonathan Gray; Kavya Srinet; Yacine Jernite; Armand Joulin; Gabriel Synnaeve; Douwe Kiela; Haonan Yu; Zhuoyuan Chen; Siddharth Goyal; Demi Guo; Danielle Rothermel; et al. (CoRR, 2019)

ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons. - Margaret Li; Jason Weston; Stephen Roller (CoRR, 2019)

Improving Conditioning in Context-Aware Sequence to Sequence Models. - Xinyi Wang 001; Jason Weston; Michael Auli; Yacine Jernite (CoRR, 2019)

All-in-One Image-Grounded Conversational Agents. - Da Ju; Kurt Shuster 001; Y-Lan Boureau; Jason Weston (CoRR, 2019)

Generating Interactive Worlds with Text. - Angela Fan; Jack Urbanek; Pratik Ringshia; Emily Dinan; Emma Qian; Siddharth Karamcheti; Shrimai Prabhumoye; Douwe Kiela; Tim Rocktäschel; Arthur Szlam; Jason Weston (AAAI, 2020)

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training. - Margaret Li; Stephen Roller; Ilia Kulikov; Sean Welleck; Y-Lan Boureau; Kyunghyun Cho; Jason Weston (ACL, 2020)

Adversarial NLI: A New Benchmark for Natural Language Understanding. - Yixin Nie; Adina Williams; Emily Dinan; Mohit Bansal; Jason Weston; Douwe Kiela (ACL, 2020)

Image-Chat: Engaging Grounded Conversations. - Kurt Shuster 001; Samuel Humeau 001; Antoine Bordes; Jason Weston (ACL, 2020)

The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents. - Kurt Shuster 001; Da Ju; Stephen Roller; Emily Dinan; Y-Lan Boureau; Jason Weston (ACL, 2020)

Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills. - Eric Michael Smith; Mary Williamson; Kurt Shuster 001; Jason Weston; Y-Lan Boureau (ACL, 2020)

Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation. - Emily Dinan; Angela Fan; Adina Williams; Jack Urbanek; Douwe Kiela; Jason Weston (EMNLP (1), 2020)

Multi-Dimensional Gender Bias Classification. - Emily Dinan; Angela Fan; Ledell Wu; Jason Weston; Douwe Kiela; Adina Williams (EMNLP (1), 2020)

Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring. - Samuel Humeau 001; Kurt Shuster 001; Marie-Anne Lachaux; Jason Weston (ICLR, 2020)

Neural Text Generation With Unlikelihood Training. - Sean Welleck; Ilia Kulikov; Stephen Roller; Emily Dinan; Kyunghyun Cho; Jason Weston (ICLR, 2020)

I love your chain mail! Making knights smile in a fantasy game world: Open-domain goal-oriented dialogue agents. - Shrimai Prabhumoye; Margaret Li; Jack Urbanek; Emily Dinan; Douwe Kiela; Jason Weston; Arthur Szlam (CoRR, 2020)

Recipes for building an open-domain chatbot. - Stephen Roller; Emily Dinan; Naman Goyal 001; Da Ju; Mary Williamson; Yinhan Liu; Jing Xu; Myle Ott; Kurt Shuster 001; Eric Michael Smith; Y-Lan Boureau; Jason Weston (CoRR, 2020)

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions. - Stephen Roller; Y-Lan Boureau; Jason Weston; Antoine Bordes; Emily Dinan; Angela Fan; David Gunning; Da Ju; Margaret Li; Spencer Poff; Pratik Ringshia; Kurt Shuster 001; et al. (CoRR, 2020)

Deploying Lifelong Open-Domain Dialogue Learning. - Kurt Shuster 001; Jack Urbanek; Emily Dinan; Arthur Szlam; Jason Weston (CoRR, 2020)

Recipes for Safety in Open-domain Chatbots. - Jing Xu; Da Ju; Margaret Li; Y-Lan Boureau; Jason Weston; Emily Dinan (CoRR, 2020)

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. - Yixin Nie; Mary Williamson; Mohit Bansal; Douwe Kiela; Jason Weston (ACL/IJCNLP (1), 2021)

Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots. - Kurt Shuster 001; Jack Urbanek; Emily Dinan; Arthur Szlam; Jason Weston (ACL/IJCNLP (Findings), 2021)

Recipes for Building an Open-Domain Chatbot. - Stephen Roller; Emily Dinan; Naman Goyal 001; Da Ju; Mary Williamson; Yinhan Liu; Jing Xu; Myle Ott; Eric Michael Smith; Y-Lan Boureau; Jason Weston (EACL, 2021)

Retrieval Augmentation Reduces Hallucination in Conversation. - Kurt Shuster 001; Spencer Poff; Moya Chen; Douwe Kiela; Jason Weston (EMNLP (Findings), 2021)

Multi-Modal Open-Domain Dialogue. - Kurt Shuster 001; Eric Michael Smith; Da Ju; Jason Weston (EMNLP (1), 2021)

Not All Memories are Created Equal: Learning to Forget by Expiring. - Sainbayar Sukhbaatar; Da Ju; Spencer Poff; Stephen Roller; Arthur Szlam; Jason Weston; Angela Fan (ICML, 2021)

How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds. - Prithviraj Ammanabrolu; Jack Urbanek; Margaret Li; Arthur Szlam; Tim Rocktäschel; Jason Weston (NAACL-HLT, 2021)

Bot-Adversarial Dialogue for Safe Conversational Agents. - Jing Xu; Da Ju; Margaret Li; Y-Lan Boureau; Jason Weston; Emily Dinan (NAACL-HLT, 2021)

Hash Layers For Large Sparse Models. - Stephen Roller; Sainbayar Sukhbaatar; Arthur Szlam; Jason Weston (NeurIPS, 2021)

NormFormer: Improved Transformer Pretraining with Extra Normalization. - Sam Shleifer; Jason Weston; Myle Ott (CoRR, 2021)

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents. - Eric Michael Smith; Orion Hsu; Rebecca Qian; Stephen Roller; Y-Lan Boureau; Jason Weston (ConvAI@ACL, 2022)

Internet-Augmented Dialogue Generation. - Mojtaba Komeili; Kurt Shuster 001; Jason Weston (ACL (1), 2022)

Beyond Goldfish Memory: Long-Term Open-Domain Conversation. - Jing Xu; Arthur Szlam; Jason Weston (ACL (1), 2022)

Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. - Kurt Shuster 001; Mojtaba Komeili; Leonard Adolphs; Stephen Roller; Arthur Szlam; Jason Weston (EMNLP (Findings), 2022)

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. - Leonard Adolphs; Kurt Shuster 001; Jack Urbanek; Arthur Szlam; Jason Weston (EMNLP (Findings), 2022)

Director: Generator-Classifiers For Supervised Language Modeling. - Kushal Arora; Kurt Shuster 001; Sainbayar Sukhbaatar; Jason Weston (AACL/IJCNLP (1), 2022)

Am I Me or You? State-of-the-Art Dialogue Models Cannot Maintain an Identity. - Kurt Shuster 001; Jack Urbanek; Arthur Szlam; Jason Weston (NAACL-HLT (Findings), 2022)

Staircase Attention for Recurrent Processing of Sequences. - Da Ju; Stephen Roller; Sainbayar Sukhbaatar; Jason Weston (NeurIPS, 2022)

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. - Kurt Shuster 001; Jing Xu; Mojtaba Komeili; Da Ju; Eric Michael Smith; Stephen Roller; Megan Ung; Moya Chen; Kushal Arora; Joshua Lane; Morteza Behrooz; William Ngan; et al. (CoRR, 2022)

Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls. - Da Ju; Jing Xu; Y-Lan Boureau; Jason Weston (CoRR, 2022)

The CRINGE Loss: Learning what language not to model. - Leonard Adolphs; Tianyu Gao; Jing Xu; Kurt Shuster 001; Sainbayar Sukhbaatar; Jason Weston (ACL (1), 2023)

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback. - Jing Xu; Megan Ung; Mojtaba Komeili; Kushal Arora; Y-Lan Boureau; Jason Weston (ACL (1), 2023)

Learning to Reason and Memorize with Self-Notes. - Jack Lanchantin; Shubham Toshniwal; Jason Weston; Arthur Szlam; Sainbayar Sukhbaatar (NeurIPS, 2023)

Infusing Commonsense World Models with Graph Knowledge. - Alexander Gurung; Mojtaba Komeili; Arthur Szlam; Jason Weston; Jack Urbanek (CoRR, 2023)

The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. - Kushal Arora; Timothy J. O'Donnell; Doina Precup; Jason Weston; Jackie Chi Kit Cheung (CoRR, 2023)

Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models. - Jimmy Wei; Kurt Shuster 001; Arthur Szlam; Jason Weston; Jack Urbanek; Mojtaba Komeili (CoRR, 2023)

Large Language Model Programs. - Imanol Schlag; Sainbayar Sukhbaatar; Asli Celikyilmaz; Wen-tau Yih; Jason Weston; Jürgen Schmidhuber; Xian Li 003 (CoRR, 2023)

Improving Open Language Models by Learning from Organic Interactions. - Jing Xu; Da Ju; Joshua Lane; Mojtaba Komeili; Eric Michael Smith; Megan Ung; Morteza Behrooz; William Ngan; Rashel Moritz; Sainbayar Sukhbaatar; Y-Lan Boureau; Jason Weston; et al. (CoRR, 2023)

The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges. - Morteza Behrooz; William Ngan; Joshua Lane; Giuliano Morse; Benjamin Babcock; Kurt Shuster 001; Mojtaba Komeili; Moya Chen; Melanie Kambadur; Y-Lan Boureau; Jason Weston (CoRR, 2023)

Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading. - Howard Chen 003; Ramakanth Pasunuru; Jason Weston; Asli Celikyilmaz (CoRR, 2023)

System 2 Attention (is something you might need too). - Jason Weston; Sainbayar Sukhbaatar (CoRR, 2023)

Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss. - Jing Xu; Andrew Lee 001; Sainbayar Sukhbaatar; Jason Weston (CoRR, 2023)

Chain-of-Verification Reduces Hallucination in Large Language Models. - Shehzaad Dhuliawala; Mojtaba Komeili; Jing Xu; Roberta Raileanu; Xian Li 003; Asli Celikyilmaz; Jason Weston (ACL (Findings), 2024)

Leveraging Implicit Feedback from Deployment Data in Dialogue. - Richard Yuanzhe Pang; Stephen Roller; Kyunghyun Cho; He He 001; Jason Weston (EACL (2), 2024)

System-Level Natural Language Feedback. - Weizhe Yuan; Kyunghyun Cho; Jason Weston (EACL (1), 2024)

TOOLVERIFIER: Generalization to New Tools via Self-Verification. - Dheeraj Mekala; Jason Weston; Jack Lanchantin; Roberta Raileanu; Maria Lomeli; Jingbo Shang; Jane Dwivedi-Yu (EMNLP (Findings), 2024)

Better Alignment with Instruction Back-and-Forth Translation. - Thao Nguyen; Jeffrey Li; Sewoong Oh; Ludwig Schmidt; Jason Weston; Luke Zettlemoyer; Xian Li 003 (EMNLP (Findings), 2024)

Self-Alignment with Instruction Backtranslation. - Xian Li 003; Ping Yu; Chunting Zhou; Timo Schick; Omer Levy; Luke Zettlemoyer; Jason Weston; Mike Lewis (ICLR, 2024)

Self-Rewarding Language Models. - Weizhe Yuan; Richard Yuanzhe Pang; Kyunghyun Cho; Xian Li 003; Sainbayar Sukhbaatar; Jing Xu; Jason Weston (ICML, 2024)

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. - Swarnadeep Saha; Omer Levy; Asli Celikyilmaz; Mohit Bansal; Jason Weston; Xian Li 003 (NAACL-HLT, 2024)

When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels. - Weiyan Shi; Emily Dinan; Kurt Shuster 001; Jason Weston; Jing Xu (NAACL-HLT, 2024)

The ART of LLM Refinement: Ask, Refine, and Trust. - Kumar Shridhar; Koustuv Sinha; Andrew Cohen; Tianlu Wang; Ping Yu; Ramakanth Pasunuru; Mrinmaya Sachan; Jason Weston; Asli Celikyilmaz (NAACL-HLT, 2024)

Iterative Reasoning Preference Optimization. - Richard Yuanzhe Pang; Weizhe Yuan; He He 001; Kyunghyun Cho; Sainbayar Sukhbaatar; Jason Weston (NeurIPS, 2024)

Self-Rewarding Language Models. - Weizhe Yuan; Richard Yuanzhe Pang; Kyunghyun Cho; Sainbayar Sukhbaatar; Jing Xu; Jason Weston (CoRR, 2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. - Sainbayar Sukhbaatar; Olga Golovneva; Vasu Sharma; Hu Xu 001; Xi Victoria Lin; Baptiste Rozière; Jacob Kahn; Daniel Li 006; Wen-tau Yih; Jason Weston; Xian Li 003 (CoRR, 2024)

Reverse Training to Nurse the Reversal Curse. - Olga Golovneva; Zeyuan Allen-Zhu; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

Contextual Position Encoding: Learning to Count What's Important. - Olga Golovneva; Tianlu Wang; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

Following Length Constraints in Instructions. - Weizhe Yuan; Ilia Kulikov; Ping Yu; Kyunghyun Cho; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2024)

Distilling System 2 into System 1. - Ping Yu; Jing Xu; Jason Weston; Ilia Kulikov (CoRR, 2024)

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. - Tianhao Wu 002; Weizhe Yuan; Olga Golovneva; Jing Xu; Yuandong Tian; Jiantao Jiao; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

Self-Taught Evaluators. - Tianlu Wang; Ilia Kulikov; Olga Golovneva; Ping Yu; Weizhe Yuan; Jane Dwivedi-Yu; Richard Yuanzhe Pang; Maryam Fazel-Zarandi; Jason Weston; Xian Li 003 (CoRR, 2024)

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources. - Alisia Maria Lupidi; Carlos Gemmell; Nicola Cancedda; Jane Dwivedi-Yu; Jason Weston; Jakob N. Foerster; Roberta Raileanu; Maria Lomeli (CoRR, 2024)

Thinking LLMs: General Instruction Following with Thought Generation. - Tianhao Wu 002; Janice Lan; Weizhe Yuan; Jiantao Jiao; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

Self-Consistency Preference Optimization. - Archiki Prasad; Weizhe Yuan; Richard Yuanzhe Pang; Jing Xu; Maryam Fazel-Zarandi; Mohit Bansal; Sainbayar Sukhbaatar; Jason Weston; Jane A. Yu (CoRR, 2024)

Adaptive Decoding via Latent Preference Optimization. - Shehzaad Dhuliawala; Ilia Kulikov; Ping Yu; Asli Celikyilmaz; Jason Weston; Sainbayar Sukhbaatar; Jack Lanchantin (CoRR, 2024)

ALMA: Alignment with Minimal Annotation. - Michihiro Yasunaga; Leonid Shamis; Chunting Zhou; Andrew Cohen; Jason Weston; Luke Zettlemoyer; Marjan Ghazvininejad (CoRR, 2024)

Training Large Language Models to Reason in a Continuous Latent Space. - Shibo Hao; Sainbayar Sukhbaatar; DiJia Su; Xian Li 003; Zhiting Hu; Jason Weston; Yuandong Tian (CoRR, 2024)

Byte Latent Transformer: Patches Scale Better Than Tokens. - Artidoro Pagnoni; Ramakanth Pasunuru; Pedro Rodríguez 001; John Nguyen; Benjamin Muller; Margaret Li; Chunting Zhou; Lili Yu; Jason E. Weston; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; et al. (ACL (1), 2025)

Backtracking Improves Generation Safety. - Yiming Zhang; Jianfeng Chi; Hailey Nguyen; Kartikeya Upasani; Daniel M. Bikel; Jason E. Weston; Eric Michael Smith (ICLR, 2025)

Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback. - Yen-Ting Lin; Di Jin; Tengyu Xu; Tianhao Wu 002; Sainbayar Sukhbaatar; Chen Zhu; Yun He; Yun-Nung Chen; Jason Weston; Yuandong Tian; Arash Rahnama; Sinong Wang; et al. (CoRR, 2025)

Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge. - Swarnadeep Saha; Xian Li 003; Marjan Ghazvininejad; Jason Weston; Tianlu Wang (CoRR, 2025)

Diverse Preference Optimization. - Jack Lanchantin; Angelica Chen; Shehzaad Dhuliawala; Ping Yu; Jason Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

R.I.P.: Better Models by Survival of the Fittest Prompts. - Ping Yu; Weizhe Yuan; Olga Golovneva; Tianhao Wu 002; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2025)

LLM Pretraining with Continuous Concepts. - Jihoon Tack; Jack Lanchantin; Jane Yu; Andrew Cohen; Ilia Kulikov; Janice Lan; Shibo Hao; Yuandong Tian; Jason Weston; Xian Li 003 (CoRR, 2025)

NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions. - Weizhe Yuan; Jane Yu; Song Jiang; Karthik Padthe; Yang Li; Dong Wang; Ilia Kulikov; Kyunghyun Cho; Yuandong Tian; Jason E. Weston; Xian Li 003 (CoRR, 2025)

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation. - Zi Lin; Sheng Shen 016; Jingbo Shang; Jason Weston; Yixin Nie (CoRR, 2025)

An Overview of Large Language Models for Statisticians. - Wenlong Ji; Weizhe Yuan; Emily J. Getzen; Kyunghyun Cho; Michael I. Jordan; Song Mei; Jason Aaron Edward Weston; Weijie J. Su; Jing Xu; Linjun Zhang (CoRR, 2025)

SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks. - Yifei Zhou; Song Jiang; Yuandong Tian; Jason Weston; Sergey Levine; Sainbayar Sukhbaatar; Xian Li 003 (CoRR, 2025)

Multi-Token Attention. - Olga Golovneva; Tianlu Wang; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2025)

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning. - Chenxi Whitehouse; Tianlu Wang; Ping Yu; Xian Li 003; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)

Self-Challenging Language Model Agents. - Yifei Zhou; Sergey Levine; Jason Weston; Xian Li 003; Sainbayar Sukhbaatar (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)

NaturalThoughts: Selecting and Distilling Reasoning Traces for General Reasoning Tasks. - Yang Li; Youssef Emad; Karthik Padthe; Jack Lanchantin; Weizhe Yuan; Thao Nguyen; Jason Weston; Shang-Wen Li 001; Dong Wang; Ilia Kulikov; Xian Li 003 (CoRR, 2025)

Meta CLIP 2: A Worldwide Scaling Recipe. - Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James Glass 001; Lifei Huang; Jason Weston; Luke Zettlemoyer; Xinlei Chen; Zhuang Liu; et al. (CoRR, 2025)

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks. - Ping Yu; Jack Lanchantin; Tianlu Wang; Weizhe Yuan; Olga Golovneva; Ilia Kulikov; Sainbayar Sukhbaatar; Jason Weston; Jing Xu (CoRR, 2025)

Learning to Reason for Factuality. - Xilun Chen 002; Ilia Kulikov; Vincent-Pierre Berges; Barlas Oguz; Rulin Shao; Gargi Ghosh; Jason Weston; Wen-tau Yih (CoRR, 2025)

OptimalThinkingBench: Evaluating Over and Underthinking in LLMs. - Pranjal Aggarwal; Seungone Kim; Jack Lanchantin; Sean Welleck; Jason Weston; Ilia Kulikov; Swarnadeep Saha (CoRR, 2025)