no code implementations • EMNLP 2020 • Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang
In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions.
no code implementations • Findings (ACL) 2022 • Xuhang Xie, Xuesong Lu, Bei Chen
The rationale is to capture simultaneously the possible keywords of a source sentence and the relations between them to facilitate the rewriting.
2 code implementations • 7 Mar 2024 • 01. AI, :, Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai
The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models, 200K long context models, depth-upscaled models, and vision-language models.
1 code implementation • 22 Jan 2024 • Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu
We introduce CMMMU, a new Chinese Massive Multi-discipline Multimodal Understanding benchmark designed to evaluate LMMs on tasks demanding college-level subject knowledge and deliberate reasoning in a Chinese context.
1 code implementation • 31 Aug 2023 • Daoguang Zan, Ailun Yu, Bo Shen, Jiaxin Zhang, Taihong Chen, Bing Geng, Bei Chen, Jichuan Ji, Yafen Yao, Yongji Wang, Qianxiang Wang
Results demonstrate that programming languages can significantly improve each other.
1 code implementation • 25 Aug 2023 • Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun
To meet the demands of this dynamic field, there is a growing need for an effective software development assistant.
1 code implementation • 23 May 2023 • Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang
Question answering plays a pivotal role in human daily life because it involves our acquisition of knowledge about the world.
no code implementations • 23 May 2023 • Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
Few-shot selection -- selecting appropriate examples for each test instance separately -- is important for in-context learning.
no code implementations • 8 May 2023 • Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
Compositional generalization--understanding unseen combinations of seen primitives--is an essential reasoning capability in human intelligence.
1 code implementation • 22 Mar 2023 • Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen
The task of repository-level code completion is to continue writing the unfinished code based on a broader context of the repository.
1 code implementation • 23 Feb 2023 • Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou
Abstraction is a desirable capability for deep learning models, which means to induce abstract concepts from concrete instances and flexibly apply them beyond the learning context.
no code implementations • 19 Dec 2022 • Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei guan, Yongji Wang, Jian-Guang Lou
The task of generating code from a natural language description, or NL2Code, is considered a pressing and significant challenge in code intelligence.
1 code implementation • 31 Oct 2022 • Daoguang Zan, Bei Chen, Zeqi Lin, Bei guan, Yongji Wang, Jian-Guang Lou
In this paper, we investigate how to equip pre-trained language models with the ability of code generation for private libraries.
1 code implementation • 21 Jul 2022 • Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
A natural way to evaluate the quality and correctness of a code solution is to run it against a set of test cases, but the manual creation of such test cases is often costly and time-consuming.
Ranked #1 on Code Generation on APPS (Introductory Pass@1 metric)
1 code implementation • 14 Jun 2022 • Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
Usually, expensive text-code paired data is essential for training a code generation model.
Ranked #121 on Code Generation on HumanEval
no code implementations • 6 Jun 2022 • Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
Few-shot learning is a challenging task that requires language models to generalize from limited examples.
Ranked #48 on Arithmetic Reasoning on GSM8K
no code implementations • 25 May 2022 • Zhi Chen, Jijia Bao, Lu Chen, Yuncong Liu, Da Ma, Bei Chen, Mengyue Wu, Su Zhu, Xin Dong, Fujiang Ge, Qingliang Miao, Jian-Guang Lou, Kai Yu
In this work, we aim to build a unified dialogue foundation model (DFM) which can be used to solve massive diverse dialogue tasks.
no code implementations • SIGDIAL (ACL) 2022 • Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu
With the development of pre-trained language models, remarkable success has been witnessed in dialogue understanding (DU).
no code implementations • 7 Mar 2022 • Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou
This motivates us to propose input-tuning, which fine-tunes both the continuous prompts and the input representations, leading to a more effective way to adapt unfamiliar inputs to frozen PLMs.
1 code implementation • 27 Jan 2022 • Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen
Reasoning over natural language is a long-standing goal for the research community.
Ranked #2 on Question Answering on DROP Test (using extra training data)
2 code implementations • 20 Jan 2022 • Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou
In this work, we propose LEMON, a general framework for language-based environment manipulation tasks.
2 code implementations • ICLR 2022 • Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
TAPEX addresses the data scarcity challenge via guiding the language model to mimic a SQL executor on the diverse, large-scale and high-quality synthetic corpus.
Ranked #1 on Semantic Parsing on WikiSQL (Denotation accuracy (test) metric)
2 code implementations • Findings (ACL) 2021 • Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
In this paper, we propose LeAR, an end-to-end neural model to learn algebraic recombination for compositional generalization.
Ranked #2 on Semantic Parsing on CFQ
no code implementations • 24 Feb 2021 • Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculin, Petros Zerfos
We present AutoAI for Time Series Forecasting (AutoAI-TS) that provides users with a zero configuration (zero-conf ) system to efficiently train, optimize and choose best forecasting model among various classes of models for the given dataset.
no code implementations • 8 Dec 2020 • Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
Human intelligence exhibits compositional generalization (i. e., the capacity to understand and produce unseen combinations of seen components), but current neural seq2seq models lack such ability.
1 code implementation • 9 Nov 2020 • Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang
In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions.
1 code implementation • EMNLP 2020 • Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
Recent years the task of incomplete utterance rewriting has raised a large attention.
Ranked #1 on Dialogue Rewriting on Rewrite
no code implementations • 23 Jul 2020 • Xiaochang Li, Bei Chen, Xuesong Lu
The ability to discover moving objects that travel together, i. e., traveling companions, from their trajectories is desired by many applications such as intelligent transportation systems and location-based services.
1 code implementation • NeurIPS 2020 • Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
Compositional generalization is a basic and essential intellective capability of human beings, which allows us to recombine known parts readily.
1 code implementation • ACL 2020 • Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang
Despite the continuing efforts to improve the engagingness and consistency of chit-chat dialogue systems, the majority of current work simply focus on mimicking human-like responses, leaving understudied the aspects of modeling understanding between interlocutors.
Ranked #2 on Dialogue Generation on Persona-Chat (using extra training data)
1 code implementation • 3 Feb 2020 • Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
Recently semantic parsing in context has received considerable attention, which is challenging since there are complex contextual phenomena.
no code implementations • NeurIPS 2019 • Akihiro Kishimoto, Beat Buesser, Bei Chen, Adi Botea
Search techniques, such as Monte Carlo Tree Search (MCTS) and Proof-Number Search (PNS), are effective in playing and solving games.
no code implementations • IJCNLP 2019 • Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li
One key component in text-to-SQL is to predict the comparison relations between columns and their values.
1 code implementation • IJCNLP 2019 • Qian Liu, Bei Chen, Haoyan Liu, Lei Fang, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
To leverage the advances in context-independent semantic parsing, we propose to perform follow-up query analysis, aiming to restate context-dependent natural language queries with contextual information.
no code implementations • 18 Sep 2019 • Stefan Wolff, Fearghal O'Donncha, Bei Chen
Training data consisted of satellite-derived SST and atmospheric data from The Weather Company.
1 code implementation • 28 May 2019 • Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
We show how to employ LambdaOpt on matrix factorization, a classical model that is representative of a large family of recommender models.
1 code implementation • 24 Jan 2019 • Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang
NLIDB allow users to search databases using natural language instead of SQL-like query languages.
1 code implementation • 20 Nov 2018 • Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi
The main features of Castor are: (1) an efficient pipeline for ingesting IoT time series data in real time; (2) a scalable, hybrid data management service for both time series and contextual data; (3) a versatile semantic model for contextual information which can be easily adopted to different application domains; (4) an abstract framework for developing and storing predictive models in R or Python; (5) deployment services which automatically train and/or score predictive models upon user-defined conditions.
Computation Other Statistics
no code implementations • 22 Jun 2018 • Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao
Almost all the knowledge empowered applications rely upon accurate knowledge, which has to be either collected manually with high cost, or extracted automatically with unignorable errors.
no code implementations • 1 Jun 2017 • Hoang Thanh Lam, Johann-Michael Thiebaut, Mathieu Sinn, Bei Chen, Tiep Mai, Oznur Alkan
Feature engineering is one of the most important and time consuming tasks in predictive analytics projects.
no code implementations • 24 Feb 2016 • Jun Zhu, Jiaming Song, Bei Chen
Our approach attempts to unite the ideas of max-margin learning and Bayesian nonparametrics to discover discriminative latent features for link prediction.
no code implementations • 7 Dec 2015 • Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
We present a discriminative nonparametric latent feature relational model (LFRM) for link prediction to automatically infer the dimensionality of latent features.
no code implementations • 7 Dec 2015 • Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang
Modeling document structure is of great importance for discourse analysis and related applications.
no code implementations • 17 Sep 2015 • Hoang Thanh Lam, Ernesto Diaz-Aviles, Alessandra Pascale, Yiannis Gkoufas, Bei Chen
Real-time estimation of destination and travel time for taxis is of great importance for existing electronic dispatch systems.
no code implementations • NeurIPS 2012 • Mathieu Sinn, Bei Chen
Conditional Markov Chains (also known as Linear-Chain Conditional Random Fields in the literature) are a versatile class of discriminative models for the distribution of a sequence of hidden states conditional on a sequence of observable variables.