--- title: "AI & machine learning — papers, page 6" description: "AI & machine learning: 209 papers of the Elamur Research library · page 6 of 9 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/ai/page/6/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/ai/page/6/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/) / page 6 # 🤖 AI & machine learning 209 papers · page 6 of 9 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Neural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated. [← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) **6** [7](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/ai/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/ai/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) - [Constitutional AI: Harmlessness from AI Feedback](https://md.research.elamur.ai/free/en/papers/bai-2022-constitutional-ai-harmlessness-ai-feedback/) — Yuntao Bai, Saurav Kadavath, Sandipan Kundu, et al. · 2022 - [Do As I Can, Not As I Say: Grounding Language in Robotic Affordances](https://md.research.elamur.ai/free/en/papers/ahn-2022-i-i-say-grounding-language/) — Michael Ahn, Anthony Brohan, Noah Brown, et al. · 2022 - [StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts](https://md.research.elamur.ai/free/en/papers/shi-2022-stepgame-new-benchmark-robust-multi/) — Zhengxiang Shi, Qiang Zhang, Aldo Lipani · 2022 - [Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/) — Peter West, Chandra Bhagavatula, Jack Hessel, et al. · 2022 - [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) — Markus Freitag, George Foster, David Grangier, et al. · 2021 - [Explaining Answers with Entailment Trees](https://md.research.elamur.ai/free/en/papers/dalvi-2021-explaining-answers-entailment-trees/) — Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al. · 2021 - [Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-intrinsic-dimensionality-explains-effectiveness-language/) — Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer · 2021 - [Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training](https://md.research.elamur.ai/free/en/papers/agarwal-2021-knowledge-graph-based-synthetic-corpus/) — Oshin Agarwal, Heming Ge, Siamak Shakeri, et al. · 2021 - [Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/) — Chao Jia, Yinfei Yang, Ye Xia, et al. · 2021 - [SemLink 2.0: Chasing Lexical Resources](https://md.research.elamur.ai/free/en/papers/stowe-2021-semlink-2-0-chasing-lexical/) — Kevin Stowe, Jenette Preciado, Kathryn Conger, et al. · 2021 - [SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning](https://md.research.elamur.ai/free/en/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/) — Roshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al. · 2021 - [TellMeWhy: A Dataset for Answering Why-Questions in Narratives](https://md.research.elamur.ai/free/en/papers/lal-2021-tellmewhy-dataset-answering-why-questions/) — Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, et al. · 2021 - [Toward a Perspectivist Turn in Ground Truthing for Predictive Computing](https://md.research.elamur.ai/free/en/papers/basile-2021-toward-perspectivist-turn-ground-truthing/) — Valerio Basile, Federico Cabitza, Andrea Campagner, et al. · 2021 - [Big Bird: Transformers for Longer Sequences](https://md.research.elamur.ai/free/en/papers/zaheer-2020-big-bird-transformers-longer-sequences/) — Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al. · 2020 - [Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models](https://md.research.elamur.ai/free/en/papers/lin-2020-birds-have-four-legs-numersense/) — Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, et al. · 2020 - [COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/) — Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al. · 2020 - [Evaluating Models' Local Decision Boundaries via Contrast Sets](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/) — Matt Gardner, Yoav Artzi, Victoria Basmov, et al. · 2020 - [GLUCOSE: GeneraLized and COntextualized Story Explanations](https://md.research.elamur.ai/free/en/papers/commonsense-2020-mostafazadeh-glucose-generalized-contextualized-story-explanations/) — Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al. · 2020 - [Good-Enough Compositional Data Augmentation](https://md.research.elamur.ai/free/en/papers/andreas-2020-good-enough-compositional-data-augmentation/) — Jacob Andreas · 2020 - [How Can We Accelerate Progress Towards Human-like Linguistic Generalization?](https://md.research.elamur.ai/free/en/papers/linzen-2020-how-can-we-accelerate-progress/) — Tal Linzen · 2020 - [Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/) — Apoorv Saxena, Aditay Tripathi, Partha Talukdar · 2020 - [Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) — Aidan Hogan, Eva Blomqvist, Michael Cochez, et al. · 2020 - [Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) — Nitika Mathur, Timothy Baldwin, Trevor Cohn · 2020 - [Temporal Reasoning in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/) — Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al. · 2020 - [Abductive Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/bhagavatula-2019-abductive-commonsense-reasoning/) — Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, et al. · 2019 [← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/ai/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) **6** [7](https://md.research.elamur.ai/free/en/shelves/ai/page/7/) [8](https://md.research.elamur.ai/free/en/shelves/ai/page/8/) [9](https://md.research.elamur.ai/free/en/shelves/ai/page/9/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/7/)