--- title: "Richard Socher — papers" description: "Richard Socher: 25 papers in the Elamur Research library (2011–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/richard-socher/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/richard-socher/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Richard Socher # Richard Socher 25 papers on this site (2011–2024) [OpenAlex](https://openalex.org/A5059955534) · [ORCID](https://orcid.org/0000-0002-3577-639X) · h-index 75 · 211 works · 138119 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/minaee-2024-large-language-models-survey/) — Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al. · 2024 - [GeDi: Generative Discriminator Guided Sequence Generation](https://md.research.elamur.ai/free/en/papers/krause-2021-gedi-generative-discriminator-guided-sequence/) — Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al. · 2021 - [Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing](https://md.research.elamur.ai/free/en/papers/lin-2020-bridging-textual-tabular-data-cross/) — Xi Victoria Lin, Richard Socher, Caiming Xiong · 2020 - [ERASER: A Benchmark to Evaluate Rationalized NLP Models](https://md.research.elamur.ai/free/en/papers/deyoung-2020-eraser-benchmark-evaluate-rationalized-nlp/) — Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, et al. · 2020 - [Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking](https://md.research.elamur.ai/free/en/papers/zhang-2020-find-or-classify-dual-strategy/) — Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, et al. · 2020 - [TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/) — Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al. · 2020 - [CTRL: A Conditional Transformer Language Model for Controllable Generation](https://md.research.elamur.ai/free/en/papers/keskar-2019-ctrl-conditional-transformer-language-model/) — Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al. · 2019 - [Explain Yourself! Leveraging Language Models for Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/rajani-2019-explain-yourself-leveraging-language-models/) — Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al. · 2019 - [Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering](https://md.research.elamur.ai/free/en/papers/asai-2019-learning-retrieve-reasoning-paths-over/) — Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al. · 2019 - [Neural Text Summarization: A Critical Evaluation](https://md.research.elamur.ai/free/en/papers/kryscinski-2019-neural-text-summarization-critical-evaluation/) — Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al. · 2019 - [The Natural Language Decathlon: Multitask Learning as Question Answering](https://md.research.elamur.ai/free/en/papers/mccann-2018-natural-language-decathlon-multitask-learning/) — Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al. · 2018 - [A Deep Reinforced Model for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/paulus-2017-deep-reinforced-model-abstractive-summarization/) — Romain Paulus, Caiming Xiong, Richard Socher · 2017 - [Learned in Translation: Contextualized Word Vectors](https://md.research.elamur.ai/free/en/papers/mccann-2017-learned-translation-contextualized-word-vectors/) — Bryan McCann, James Bradbury, Caiming Xiong, et al. · 2017 - [Non-Autoregressive Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2017-non-autoregressive-neural-machine-translation/) — Jiatao Gu, James Bradbury, Caiming Xiong, et al. · 2017 - [Regularizing and Optimizing LSTM Language Models](https://md.research.elamur.ai/free/en/papers/merity-2017-regularizing-optimizing-lstm-language-models/) — Stephen Merity, Nitish Shirish Keskar, Richard Socher · 2017 - [A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/) — Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al. · 2016 - [Dynamic Coattention Networks For Question Answering](https://md.research.elamur.ai/free/en/papers/xiong-2016-dynamic-coattention-networks-question-answering/) — Caiming Xiong, Victor Zhong, Richard Socher · 2016 - [Pointer Sentinel Mixture Models](https://md.research.elamur.ai/free/en/papers/merity-2016-pointer-sentinel-mixture-models/) — Stephen Merity, Caiming Xiong, James Bradbury, et al. · 2016 - [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/kumar-2015-ask-me-anything-dynamic-memory/) — Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al. · 2015 - [Grounded Compositional Semantics for Finding and Describing Images with Sentences](https://md.research.elamur.ai/free/en/papers/socher-2014-grounded-compositional-semantics-finding-describing/) — Richard Socher, Andrej Karpathy, Quoc V. Le, et al. · 2014 - [Better Word Representations with Recursive Neural Networks for Morphology](https://md.research.elamur.ai/free/en/papers/luong-2013-better-word-representations-recursive-neural/) — Thang Luong, Richard Socher, Christopher Manning · 2013 - [Bilingual Word Embeddings for Phrase-Based Machine Translation](https://md.research.elamur.ai/free/en/papers/zou-2013-bilingual-word-embeddings-phrase-based/) — Will Y. Zou, Richard Socher, Daniel Cer, et al. · 2013 - [Improving Word Representations via Global Context and Multiple Word Prototypes](https://md.research.elamur.ai/free/en/papers/huang-2012-improving-word-representations-global-context/) — Eric Huang, Richard Socher, Christopher Manning, et al. · 2012 - [Semantic Compositionality through Recursive Matrix-Vector Spaces](https://md.research.elamur.ai/free/en/papers/socher-2012-semantic-compositionality-through-recursive-matrix/) — Richard Socher, Brody Huval, Christopher D. Manning, et al. · 2012 - [Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions](https://md.research.elamur.ai/free/en/papers/socher-2011-semi-supervised-recursive-autoencoders-predicting/) — Richard Socher, Jeffrey Pennington, Eric H. Huang, et al. · 2011