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08/31/2023
Can Programming Languages Boost Each Other via Instruction Tuning?
When human programmers have mastered a programming language, it would be...
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08/25/2023
SoTaNa: The Open-Source Software Development Assistant
Software development plays a crucial role in driving innovation and effi...
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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...
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05/23/2023
Skill-Based Few-Shot Selection for In-Context Learning
In-Context learning is the paradigm that adapts large language models to...
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05/08/2023
How Do In-Context Examples Affect Compositional Generalization?
Compositional generalization–understanding unseen combinations of seen p...
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04/05/2023
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging
Automated debugging techniques have the potential to reduce developer ef...
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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 ...
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02/23/2023
Does Deep Learning Learn to Abstract? A Systematic Probing Framework
Abstraction is a desirable capability for deep learning models, which me...
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12/19/2022
Large Language Models Meet NL2Code: A Survey
The task of generating code from a natural language description, or NL2C...
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10/31/2022
When Language Model Meets Private Library
With the rapid development of pre-training techniques, a number of langu...
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07/21/2022
CodeT: Code Generation with Generated Tests
The task of generating code solutions for a given programming problem ca...
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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...
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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...
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05/25/2022
DialogZoo: Large-Scale Dialog-Oriented Task Learning
Building unified conversational agents has been a long-standing goal of ...
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04/10/2022
UniDU: Towards A Unified Generative Dialogue Understanding Framework
With the development of pre-trained language models, remarkable success ...
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03/07/2022
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models
Recently the prompt-tuning paradigm has attracted significant attention....
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01/27/2022
Reasoning Like Program Executors
Reasoning over natural language is a long-standing goal for the research...
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01/20/2022
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training
Language-based environment manipulation requires agents to manipulate th...
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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...
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07/14/2021
Learning Algebraic Recombination for Compositional Generalization
Neural sequence models exhibit limited compositional generalization abil...
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12/08/2020
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Human intelligence exhibits compositional generalization (i.e., the capa...
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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...
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09/28/2020
Incomplete Utterance Rewriting as Semantic Segmentation
Recent years the task of incomplete utterance rewriting has raised a lar...
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07/23/2020
Discovering Traveling Companions using Autoencoders
With the wide adoption of mobile devices, today's location tracking syst...
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06/18/2020
Compositional Generalization by Learning Analytical Expressions
Compositional generalization is a basic but essential intellective capab...
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04/11/2020
You Impress Me: Dialogue Generation via Mutual Persona Perception
Despite the continuing efforts to improve the engagingness and consisten...
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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...
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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...
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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 ...
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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...
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05/28/2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Recommendation models mainly deal with categorical variables, such as us...
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01/24/2019
FANDA: A Novel Approach to Perform Follow-up Query Analysis
Recent work on Natural Language Interfaces to Databases (NLIDB) has attr...
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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...
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06/22/2018
Learning-to-Ask: Knowledge Acquisition via 20 Questions
Almost all the knowledge empowered applications rely upon accurate knowl...
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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...
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02/24/2016
Max-Margin Nonparametric Latent Feature Models for Link Prediction
Link prediction is a fundamental task in statistical network analysis. R...
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12/07/2015
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation
We present a discriminative nonparametric latent feature relational mode...
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12/07/2015
Jointly Modeling Topics and Intents with Global Order Structure
Modeling document structure is of great importance for discourse analysi...
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09/17/2015