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09/12/2023
Re-Reading Improves Reasoning in Language Models
Reasoning presents a significant and challenging issue for Large Languag...
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09/04/2023
A Survey for Graphic Design Intelligence
Graphic design is an effective language for visual communication. Using ...
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08/24/2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Creating layouts is a fundamental step in graphic design. In this work, ...
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05/25/2023
Uncovering and Categorizing Social Biases in Text-to-SQL
Content Warning: This work contains examples that potentially implicate ...
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05/24/2023
Uncovering and Quantifying Social Biases in Code Generation
With the popularity of automatic code generation tools, such as Copilot,...
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05/24/2023
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering
Hybrid Question-Answering (HQA), which targets reasoning over tables and...
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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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03/21/2023
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Creating graphic layouts is a fundamental step in graphic designs. In th...
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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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01/03/2023
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
In this paper, we study the problem of knowledge-intensive text-to-SQL, ...
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12/27/2022
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing
Text-to-SQL semantic parsing is an important NLP task, which greatly fac...
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12/20/2022
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
The robustness of Text-to-SQL parsers against adversarial perturbations ...
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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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12/17/2022
Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL
The task of text-to-SQL is to convert a natural language question to its...
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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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08/17/2022
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation
To satisfy various user needs, different subtasks of graphic layout gene...
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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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05/18/2022
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
We present LogiGAN, an unsupervised adversarial pre-training framework f...
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04/18/2022
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding
Due to high data demands of current methods, attention to zero-shot cros...
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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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03/15/2022
UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL
Existing text-to-SQL semantic parsers are typically designed for particu...
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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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10/26/2021
Part Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text
We study the problem of quantitative facts extraction for text with perc...
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09/22/2021
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Recent years pretrained language models (PLMs) hit a success on several ...
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08/15/2021
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Tables are often created with hierarchies, but existing works on table r...
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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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12/13/2020
Iterative Utterance Segmentation for Neural Semantic Parsing
Neural semantic parsers usually fail to parse long and complex utterance...
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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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10/15/2020
Hierarchical Poset Decoding for Compositional Generalization in Language
We formalize human language understanding as a structured prediction tas...
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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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07/31/2020
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
Infographic is a data visualization technique which combines graphic and...
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07/15/2020
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Prior works in cross-lingual named entity recognition (NER) with no/litt...
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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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04/26/2020
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
To better tackle the named entity recognition (NER) problem on languages...
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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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10/23/2019
A Hybrid Semantic Parsing Approach for Tabular Data Analysis
This paper presents a novel approach to translating natural language que...
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10/23/2019
AnnaParser: Semantic Parsing for Tabular Data Analysis
This paper presents a novel approach to translating natural language que...
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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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05/28/2019
