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09/06/2023
Synthetic Text Generation using Hypergraph Representations
Generating synthetic variants of a document is often posed as text-to-te...
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07/14/2023
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data
Domain adaptation is an important and widely studied problem in natural ...
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05/29/2023
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Security vulnerability repair is a difficult task that is in dire need o...
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05/10/2023
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks
The most recent large language models such as ChatGPT and GPT-4 have gar...
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01/21/2023
Bayesian Hierarchical Models for Counterfactual Estimation
Counterfactual explanations utilize feature perturbations to analyze the...
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12/23/2022
Neural Transition-based Parsing of Library Deprecations
This paper tackles the challenging problem of automating code updates to...
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10/07/2022
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
With the recent advance in large pre-trained language models, researcher...
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09/22/2022
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models
This paper presents our submission for the SMM4H 2022-Shared Task on the...
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08/16/2022
Online Learning for Mixture of Multivariate Hawkes Processes
Online learning of Hawkes processes has received increasing attention in...
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02/08/2022
Bandit Sampling for Multiplex Networks
Graph neural networks have gained prominence due to their excellent perf...
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01/11/2022
Structure with Semantics: Exploiting Document Relations for Retrieval
Retrieving relevant documents from a corpus is typically based on the se...
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11/11/2021
Synthetic Document Generator for Annotation-free Layout Recognition
Analyzing the layout of a document to identify headers, sections, tables...
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10/27/2021
Parameterized Explanations for Investor / Company Matching
Matching companies and investors is usually considered a highly speciali...
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09/19/2021
A Framework for Institutional Risk Identification using Knowledge Graphs and Automated News Profiling
Organizations around the world face an array of risks impacting their op...
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09/01/2021
FinQA: A Dataset of Numerical Reasoning over Financial Data
The sheer volume of financial statements makes it difficult for humans t...
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11/04/2020
Debiasing classifiers: is reality at variance with expectation?
Many methods for debiasing classifiers have been proposed, but their eff...
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11/03/2020
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering
Many business applications involve adversarial relationships in which bo...
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10/23/2020
Robust Document Representations using Latent Topics and Metadata
Task specific fine-tuning of a pre-trained neural language model using a...
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08/14/2017