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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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03/16/2023
Exploring Distributional Shifts in Large Language Models for Code Analysis
We systematically study the capacity of two large language models for co...
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12/20/2022
Generation-Augmented Query Expansion For Code Retrieval
Pre-trained language models have achieved promising success in code retr...
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11/22/2022
HyperTuning: Toward Adapting Large Language Models without Back-propagation
Fine-tuning large language models for different tasks can be costly and ...
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10/15/2022
AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density
DBSCAN has been widely used in density-based clustering algorithms. Howe...
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10/13/2022
Explanations from Large Language Models Make Small Reasoners Better
Integrating free-text explanations to in-context learning of large langu...
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07/08/2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
The information in tables can be an important complement to text, making...
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04/27/2022
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation
Dialog response generation in open domain is an important research topic...
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04/27/2022
An End-to-End Dialogue Summarization System for Sales Calls
Summarizing sales calls is a routine task performed manually by salespeo...
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12/15/2021
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation
Knowledge-grounded dialogue systems are challenging to build due to the ...
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04/18/2021
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Large pretrained generative models like GPT-3 often suffer from hallucin...
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04/17/2021
Quantifying the Need for Attorney Pro Bono Services in Connection with the Social Determinants of Health
The paper estimates the need for additional attorney hours annually to a...
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03/24/2021
Finetuning Pretrained Transformers into RNNs
Transformers have outperformed recurrent neural networks (RNNs) in natur...
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04/29/2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
In this work, we aim at equipping pre-trained language models with struc...
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02/18/2020
Conditional Self-Attention for Query-based Summarization
Self-attention mechanisms have achieved great success on a variety of NL...
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08/21/2019
X-SQL: reinforce schema representation with context
In this work, we present X-SQL, a new network architecture for the probl...
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09/13/2018
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
We present a sequence-to-action parsing approach for the natural languag...
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07/09/2018
Robust Text-to-SQL Generation with Execution-Guided Decoding
We consider the problem of neural semantic parsing, which translates nat...
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10/30/2017
Sample-efficient Policy Optimization with Stein Control Variate
Policy gradient methods have achieved remarkable successes in solving ch...
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06/20/2012
Statistical Translation, Heat Kernels and Expected Distances
High dimensional structured data such as text and images is often poorly...
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05/09/2012