🧑🔬 Caiming Xiong19 papers on this site (2016–2022)OpenAlex · ORCID · 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 LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationJunnan Li, Dongxu Li, Caiming Xiong, et al.2022QAFactEval: Improved QA-Based Factual Consistency Evaluation for SummarizationAlexander Fabbri, Chien-Sheng Wu, Wenhao Liu, et al.2022Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceWenpeng Yin, Dragomir Radev, Caiming Xiong2021Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic ParsingXi Victoria Lin, Richard Socher, Caiming Xiong2020Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State TrackingJianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, et al.2020TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented DialogueChien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.2020CTRL: A Conditional Transformer Language Model for Controllable GenerationNitish Shirish Keskar, Bryan McCann, Lav R. Varshney, et al.2019Explain Yourself! Leveraging Language Models for Commonsense ReasoningNazneen Fatema Rajani, Bryan McCann, Caiming Xiong, et al.2019Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringAkari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, et al.2019Neural Text Summarization: A Critical EvaluationWojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019The Natural Language Decathlon: Multitask Learning as Question AnsweringBryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018A Deep Reinforced Model for Abstractive SummarizationRomain Paulus, Caiming Xiong, Richard Socher2017Learned in Translation: Contextualized Word VectorsBryan McCann, James Bradbury, Caiming Xiong, et al.2017Non-Autoregressive Neural Machine TranslationJiatao Gu, James Bradbury, Caiming Xiong, et al.2017A Joint Many-Task Model: Growing a Neural Network for Multiple NLP TasksKazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.2016Dynamic Coattention Networks For Question AnsweringCaiming Xiong, Victor Zhong, Richard Socher2016Pointer Sentinel Mixture ModelsStephen Merity, Caiming Xiong, James Bradbury, et al.2016This page in Markdown → https://md.research.elamur.ai/free/en/authors/caiming-xiong/