--- title: "Jason Weston — papers and cards" description: "Jason Weston: 2 paper cards in the Research library (2009–2015), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/jason-weston/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jason-weston/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jason Weston # Jason Weston 2 paper cards in the Research library · 2009–2015 Jason Weston wrote 2 of the papers Mova reads, in 2009–2015; often with Alexander M. Rush, Antoine Bordes, Armand Joulin. [OpenAlex](https://openalex.org/A5076635608) · [**h-index 94**](https://openalex.org/authors/A5076635608) · [75284 citations](https://openalex.org/authors/A5076635608) · [308 works](https://openalex.org/works?filter=author.id:A5076635608) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jason+Weston) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jason+Weston) · [dblp](https://dblp.org/search?q=Jason+Weston) · [ACL Anthology](https://aclanthology.org/search/?q=Jason+Weston) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Jason+Weston) ## Papers 1. **[Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)** *(2015)* `measured` The paper proposes bAbI, a suite of 20 synthetic question-answering tasks meant to work like unit tests for text understanding and reasoning. 2. **[Curriculum Learning](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/)** *(2009)* `measured` The paper brings a pedagogical intuition into machine learning: present training examples in a meaningful order, from easy to hard, instead of at random. ## Co-authors (9) - Alexander M. Rush - Antoine Bordes - Armand Joulin - Bart van Merriënboer - Jérôme Louradour - Ronan Collobert - Sumit Chopra - Tomas Mikolov - Yoshua Bengio ## More papers in the library (21) Pages of the Research library: our summary, the ideas, references and who cites each. - [Iterative Reasoning Preference Optimization](https://md.research.elamur.ai/free/en/papers/pang-2024-iterative-reasoning-preference-optimization/) — Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al. · 2024 - [Chain-of-Verification Reduces Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/dhuliawala-2023-chain-verification-reduces-hallucination-large/) — Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, et al. · 2023 - [Self-Alignment with Instruction Backtranslation](https://md.research.elamur.ai/free/en/papers/li-2023-self-alignment-instruction-backtranslation/) — Xian Li, Ping Yu, Chunting Zhou, et al. · 2023 - [Internet-Augmented Dialogue Generation](https://md.research.elamur.ai/free/en/papers/komeili-2022-internet-augmented-dialogue-generation/) — Mojtaba Komeili, Kurt Shuster, Jason Weston · 2022 - [Recipes for Building an Open-Domain Chatbot](https://md.research.elamur.ai/free/en/papers/roller-2021-recipes-building-open-domain-chatbot/) — Stephen Roller, Emily Dinan, Naman Goyal, et al. · 2021 - [Retrieval Augmentation Reduces Hallucination in Conversation](https://md.research.elamur.ai/free/en/papers/shuster-2021-retrieval-augmentation-reduces-hallucination-conversation/) — Kurt Shuster, Spencer Poff, Moya Chen, et al. · 2021 - [Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills](https://md.research.elamur.ai/free/en/papers/smith-2020-can-you-put-it-all/) — Eric Michael Smith, Mary Williamson, Kurt Shuster, et al. · 2020 - [Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training](https://md.research.elamur.ai/free/en/papers/li-2020-don-t-say-that-making/) — Margaret Li, Stephen Roller, Ilia Kulikov, et al. · 2020 - [Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation](https://md.research.elamur.ai/free/en/papers/dinan-2020-queens-are-powerful-too-mitigating/) — Emily Dinan, Angela Fan, Adina Williams, et al. · 2020 - [Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack](https://md.research.elamur.ai/free/en/papers/dinan-2019-build-it-break-it-fix/) — Emily Dinan, Samuel Humeau, Bharath Chintagunta, et al. · 2019 - [Dialogue Natural Language Inference](https://md.research.elamur.ai/free/en/papers/welleck-2019-dialogue-natural-language-inference/) — Sean Welleck, Jason Weston, Arthur Szlam, et al. · 2019 - [ELI5: Long Form Question Answering](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/) — Angela Fan, Yacine Jernite, Ethan Perez, et al. · 2019 - [Neural Text Generation with Unlikelihood Training](https://md.research.elamur.ai/free/en/papers/welleck-2019-neural-text-generation-unlikelihood-training/) — Sean Welleck, Ilia Kulikov, Stephen Roller, et al. · 2019 - [What makes a good conversation? How controllable attributes affect human judgments](https://md.research.elamur.ai/free/en/papers/see-2019-what-makes-good-conversation-how/) — Abigail See, Stephen Roller, Douwe Kiela, et al. · 2019 - [Personalizing Dialogue Agents: I have a dog, do you have pets too?](https://md.research.elamur.ai/free/en/papers/zhang-2018-personalizing-dialogue-agents-i-have/) — Saizheng Zhang, Emily Dinan, Jack Urbanek, et al. · 2018 - [Retrieve and Refine: Improved Sequence Generation Models For Dialogue](https://md.research.elamur.ai/free/en/papers/weston-2018-retrieve-refine-improved-sequence-generation/) — Jason Weston, Emily Dinan, Alexander Miller · 2018 - [ParlAI: A Dialog Research Software Platform](https://md.research.elamur.ai/free/en/papers/miller-2017-parlai-dialog-research-software-platform/) — Alexander Miller, Will Feng, Dhruv Batra, et al. · 2017 - [Reading Wikipedia to Answer Open-Domain Questions](https://md.research.elamur.ai/free/en/papers/chen-2017-reading-wikipedia-answer-open-domain/) — Danqi Chen, Adam Fisch, Jason Weston, et al. · 2017 - [Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wiseman-2015-learning-anaphoricity-antecedent-ranking-features/) — Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al. · 2015 - [The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations](https://md.research.elamur.ai/free/en/papers/hill-2015-goldilocks-principle-reading-children-s/) — Felix Hill, Antoine Bordes, Sumit Chopra, et al. · 2015 - [Natural Language Processing (almost) from Scratch](https://md.research.elamur.ai/free/en/papers/collobert-2011-natural-language-processing-almost-scratch/) — Ronan Collobert, Jason Weston, Leon Bottou, et al. · 2011