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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...
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06/07/2023
Membership inference attack with relative decision boundary distance
Membership inference attack is one of the most popular privacy attacks i...
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06/01/2023
EEL: Efficiently Encoding Lattices for Reranking
Standard decoding approaches for conditional text generation tasks typic...
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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...
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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...
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11/22/2022
Best-k Search Algorithm for Neural Text Generation
Modern natural language generation paradigms require a good decoding str...
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11/08/2022
Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
Performance of spoken language understanding (SLU) can be degraded with ...
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10/13/2022
Multi-agent Dynamic Algorithm Configuration
Automated algorithm configuration relieves users from tedious, trial-and...
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07/28/2022
Neural Architecture Search on Efficient Transformers and Beyond
Recently, numerous efficient Transformers have been proposed to reduce t...
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05/25/2022
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors
The propensity of abstractive summarization systems to make factual erro...
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12/14/2021
Massive-scale Decoding for Text Generation using Lattices
Neural text generation models like those used for summarization and tran...
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10/15/2021
Training Dynamics for Text Summarization Models
Pre-trained language models (e.g. BART) have shown impressive results wh...
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10/15/2021
Aspect-Oriented Summarization through Query-Focused Extraction
A reader interested in a particular topic might be interested in summari...
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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...
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06/03/2021
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
Despite the prominence of neural abstractive summarization models, we kn...
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10/15/2020
Compressive Summarization with Plausibility and Salience Modeling
Compressive summarization systems typically rely on a crafted set of syn...
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10/15/2020
Understanding Neural Abstractive Summarization Models via Uncertainty
An advantage of seq2seq abstractive summarization models is that they ge...
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10/30/2019
Discourse-Aware Neural Extractive Model for Text Summarization
Recently BERT has been adopted in state-of-the-art text summarization mo...
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02/03/2019
Neural Extractive Text Summarization with Syntactic Compression
Recent neural network approaches to summarization are largely either sen...
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08/31/2018
Spherical Latent Spaces for Stable Variational Autoencoders
A hallmark of variational autoencoders (VAEs) for text processing is the...
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02/25/2018
Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method
Generating plausible and fluent sentence with desired properties has lon...
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11/26/2016
Knowledge Graph Representation with Jointly Structural and Textual Encoding
The objective of knowledge graph embedding is to encode both entities an...
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10/17/2016
