b'Bei Chen'

research

∙ 08/31/2023

Can Programming Languages Boost Each Other via Instruction Tuning?

When human programmers have mastered a programming language, it would be...

0 Daoguang Zan, et al. ∙

research

∙ 08/25/2023

SoTaNa: The Open-Source Software Development Assistant

Software development plays a crucial role in driving innovation and effi...

0 Ensheng Shi, et al. ∙

research

∙ 07/28/2023

Private-Library-Oriented Code Generation with Large Language Models

Large language models (LLMs), such as Codex and GPT-4, have recently sho...

0 Daoguang Zan, et al. ∙

research

∙ 05/23/2023

Skill-Based Few-Shot Selection for In-Context Learning

In-Context learning is the paradigm that adapts large language models to...

0 Shengnan An, et al. ∙

research

∙ 05/08/2023

How Do In-Context Examples Affect Compositional Generalization?

Compositional generalization–understanding unseen combinations of seen p...

0 Shengnan An, et al. ∙

research

∙ 04/05/2023

Explainable Automated Debugging via Large Language Model-driven Scientific Debugging

Automated debugging techniques have the potential to reduce developer ef...

0 Sungmin Kang, et al. ∙

research

∙ 03/22/2023

RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

The task of repository-level code completion is to continue writing the ...

0 Fengji Zhang, et al. ∙

research

∙ 02/23/2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework

Abstraction is a desirable capability for deep learning models, which me...

0 Shengnan An, et al. ∙

research

∙ 12/19/2022

Large Language Models Meet NL2Code: A Survey

The task of generating code from a natural language description, or NL2C...

0 Daoguang Zan, et al. ∙

research

∙ 10/31/2022

When Language Model Meets Private Library

With the rapid development of pre-training techniques, a number of langu...

0 Daoguang Zan, et al. ∙

research

∙ 07/21/2022

CodeT: Code Generation with Generated Tests

The task of generating code solutions for a given programming problem ca...

0 Bei Chen, et al. ∙

research

∙ 06/14/2022

CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation

Code generation is a longstanding challenge, aiming to generate a code s...

0 Daoguang Zan, et al. ∙

research

∙ 06/06/2022

On the Advance of Making Language Models Better Reasoners

Large language models such as GPT-3 and PaLM have shown remarkable perfo...

0 Yifei Li, et al. ∙

research

∙ 05/25/2022

DialogZoo: Large-Scale Dialog-Oriented Task Learning

Building unified conversational agents has been a long-standing goal of ...

0 Zhi Chen, et al. ∙

research

∙ 04/10/2022

UniDU: Towards A Unified Generative Dialogue Understanding Framework

With the development of pre-trained language models, remarkable success ...

0 Zhi Chen, et al. ∙

research

∙ 03/07/2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

Recently the prompt-tuning paradigm has attracted significant attention....

0 Shengnan An, et al. ∙

research

∙ 01/27/2022

Reasoning Like Program Executors

Reasoning over natural language is a long-standing goal for the research...

0 Xinyu Pi, et al. ∙

research

∙ 01/20/2022

LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training

Language-based environment manipulation requires agents to manipulate th...

0 Qi Shi, et al. ∙

research

∙ 07/16/2021

TAPEX: Table Pre-training via Learning a Neural SQL Executor

Recent years pre-trained language models hit a success on modeling natur...

0 Qian Liu, et al. ∙

research

∙ 07/14/2021

Learning Algebraic Recombination for Compositional Generalization

Neural sequence models exhibit limited compositional generalization abil...

0 Chenyao Liu, et al. ∙

research

∙ 12/08/2020

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Human intelligence exhibits compositional generalization (i.e., the capa...

0 Yinuo Guo, et al. ∙

research

∙ 11/09/2020

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

In Natural Language Interfaces to Databases systems, the text-to-SQL tec...

0 Yuntao Li, et al. ∙

research

∙ 09/28/2020

Incomplete Utterance Rewriting as Semantic Segmentation

Recent years the task of incomplete utterance rewriting has raised a lar...

0 Qian Liu, et al. ∙

research

∙ 07/23/2020

Discovering Traveling Companions using Autoencoders

With the wide adoption of mobile devices, today's location tracking syst...

0 Xiaochang Li, et al. ∙

research

∙ 06/18/2020

Compositional Generalization by Learning Analytical Expressions

Compositional generalization is a basic but essential intellective capab...

0 Qian Liu, et al. ∙

research

∙ 04/11/2020

You Impress Me: Dialogue Generation via Mutual Persona Perception

Despite the continuing efforts to improve the engagingness and consisten...

6 Qian Liu, et al. ∙

research

∙ 02/03/2020

How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context

Recently semantic parsing in context has received a considerable attenti...

0 Qian Liu, et al. ∙

research

∙ 09/19/2019

A Split-and-Recombine Approach for Follow-up Query Analysis

Context-dependent semantic parsing has proven to be an important yet cha...

5 Qian Liu, et al. ∙

research

∙ 09/18/2019

Statistical and machine learning ensemble modelling to forecast sea surface temperature

In situ and remotely sensed observations have huge potential to develop ...

0 Stefan Wolff, et al. ∙

research

∙ 07/22/2019

Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements

Combining data content with visual embellishments, infographics can effe...

0 Weiwei Cui, et al. ∙

research

∙ 05/28/2019

LambdaOpt: Learn to Regularize Recommender Models in Finer Levels

Recommendation models mainly deal with categorical variables, such as us...

0 Yihong Chen, et al. ∙

research

∙ 01/24/2019

FANDA: A Novel Approach to Perform Follow-up Query Analysis

Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...

8 Qian Liu, et al. ∙

research

∙ 11/20/2018

Castor: Contextual IoT Time Series Data and Model Management at Scale

We demonstrate Castor, a cloud-based system for contextual IoT time seri...

0 Bei Chen, et al. ∙

research

∙ 06/22/2018

Learning-to-Ask: Knowledge Acquisition via 20 Questions

Almost all the knowledge empowered applications rely upon accurate knowl...

0 Yihong Chen, et al. ∙

research

∙ 06/01/2017

One button machine for automating feature engineering in relational databases

Feature engineering is one of the most important and time consuming task...

0 Hoang Thanh Lam, et al. ∙

research

∙ 02/24/2016

Max-Margin Nonparametric Latent Feature Models for Link Prediction

Link prediction is a fundamental task in statistical network analysis. R...

0 Jun Zhu, et al. ∙

research

∙ 12/07/2015

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation

We present a discriminative nonparametric latent feature relational mode...

0 Bei Chen, et al. ∙

research

∙ 12/07/2015

Jointly Modeling Topics and Intents with Global Order Structure

Modeling document structure is of great importance for discourse analysi...

0 Bei Chen, et al. ∙

research

∙ 09/17/2015

(Blue) Taxi Destination and Trip Time Prediction from Partial Trajectories

Real-time estimation of destination and travel time for taxis is of grea...

0 Hoang Thanh Lam, et al. ∙

Bei Chen

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