--- title: "Caiming Xiong — papers" description: "Caiming Xiong: 21 papers in the Elamur Research library (2016–2022) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/caiming-xiong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/caiming-xiong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Caiming Xiong # Caiming Xiong 21 papers on this site (2016–2022) [OpenAlex](https://openalex.org/A5032046813) · [ORCID](https://orcid.org/0000-0003-0349-8628) · h-index 68 · 509 works · 26391 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Binding Language Models in Symbolic Languages](https://md.research.elamur.ai/free/en/papers/cheng-2022-binding-language-models-symbolic-languages/) — Zhoujun Cheng, Tianbao Xie, Peng Shi, et al. · 2022 - [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/li-2022-blip-bootstrapping-language-image-pre/) — Junnan Li, Dongxu Li, Caiming Xiong, et al. · 2022 - [CTRLsum: Towards Generic Controllable Text Summarization](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/) — Junxian He, Wojciech Kryscinski, Bryan McCann, et al. · 2022 - [QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization](https://md.research.elamur.ai/free/en/papers/fabbri-2022-qafacteval-improved-qa-based-factual/) — Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al. · 2022 - [Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/) — Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al. · 2022 - [DocNLI: A Large-scale Dataset for Document-level Natural Language Inference](https://md.research.elamur.ai/free/en/papers/yin-2021-docnli-large-scale-dataset-document/) — Wenpeng Yin, Dragomir Radev, Caiming Xiong · 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 - [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