Jiacheng Xu | DeepAI

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∙ 08/30/2023

P2M: A Fast Solver for Querying Distance from Point to Mesh Surface

Most of the existing point-to-mesh distance query solvers, such as Proxi...

0 Chen Zong, et al. ∙

∙ 06/07/2023

Membership inference attack with relative decision boundary distance

Membership inference attack is one of the most popular privacy attacks i...

0 Jiacheng Xu, et al. ∙

∙ 06/01/2023

EEL: Efficiently Encoding Lattices for Reranking

Standard decoding approaches for conditional text generation tasks typic...

0 Prasann Singhal, et al. ∙

∙ 03/05/2023

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing

In recent years, REST API fuzzing has emerged to explore errors on a clo...

0 Chenyang Lyu, et al. ∙

∙ 12/28/2022

One Bad Apple Spoils the Barrel: Understanding the Security Risks Introduced by Third-Party Components in IoT Firmware

Currently, the development of IoT firmware heavily depends on third-part...

0 Binbin Zhao, et al. ∙

∙ 11/22/2022

Best-k Search Algorithm for Neural Text Generation

Modern natural language generation paradigms require a good decoding str...

0 Jiacheng Xu, et al. ∙

∙ 11/08/2022

Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors

Performance of spoken language understanding (SLU) can be degraded with ...

0 Yik-Cheung Tam, et al. ∙

∙ 10/13/2022

Multi-agent Dynamic Algorithm Configuration

Automated algorithm configuration relieves users from tedious, trial-and...

0 Ke Xue, et al. ∙

∙ 07/28/2022

Neural Architecture Search on Efficient Transformers and Beyond

Recently, numerous efficient Transformers have been proposed to reduce t...

28 Zexiang Liu, et al. ∙

∙ 05/25/2022

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors

The propensity of abstractive summarization systems to make factual erro...

0 Liyan Tang, et al. ∙

∙ 12/14/2021

Massive-scale Decoding for Text Generation using Lattices

Neural text generation models like those used for summarization and tran...

0 Jiacheng Xu, et al. ∙

∙ 10/15/2021

Training Dynamics for Text Summarization Models

Pre-trained language models (e.g. BART) have shown impressive results wh...

0 Tanya Goyal, et al. ∙

∙ 10/15/2021

Aspect-Oriented Summarization through Query-Focused Extraction

A reader interested in a particular topic might be interested in summari...

0 Ojas Ahuja, et al. ∙

∙ 06/08/2021

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

Disfluencies is an under-studied topic in NLP, even though it is ubiquit...

0 Aditya Gupta, et al. ∙

∙ 06/03/2021

Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution

Despite the prominence of neural abstractive summarization models, we kn...

0 Jiacheng Xu, et al. ∙

∙ 10/15/2020

Compressive Summarization with Plausibility and Salience Modeling

Compressive summarization systems typically rely on a crafted set of syn...

0 Shrey Desai, et al. ∙

∙ 10/15/2020

Understanding Neural Abstractive Summarization Models via Uncertainty

An advantage of seq2seq abstractive summarization models is that they ge...

0 Jiacheng Xu, et al. ∙

∙ 10/30/2019

Discourse-Aware Neural Extractive Model for Text Summarization

Recently BERT has been adopted in state-of-the-art text summarization mo...

0 Jiacheng Xu, et al. ∙

∙ 02/03/2019

Neural Extractive Text Summarization with Syntactic Compression

Recent neural network approaches to summarization are largely either sen...

0 Jiacheng Xu, et al. ∙

∙ 08/31/2018

Spherical Latent Spaces for Stable Variational Autoencoders

A hallmark of variational autoencoders (VAEs) for text processing is the...

0 Jiacheng Xu, et al. ∙

∙ 02/25/2018

Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method

Generating plausible and fluent sentence with desired properties has lon...

0 Jinyue Su, et al. ∙

∙ 11/26/2016

Knowledge Graph Representation with Jointly Structural and Textual Encoding

The objective of knowledge graph embedding is to encode both entities an...

0 Jiacheng Xu, et al. ∙

∙ 10/17/2016

Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification

Recently, neural networks have achieved great success on sentiment class...

0 Jiacheng Xu, et al. ∙

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