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09/15/2023
Investigating Answerability of LLMs for Long-Form Question Answering
As we embark on a new era of LLMs, it becomes increasingly crucial to un...
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08/24/2023
Exploring the Integration Strategies of Retriever and Large Language Models
The integration of retrieved passages and large language models (LLMs), ...
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07/27/2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation
Due to the absence of fine structure and texture information, existing f...
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05/23/2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
Question-answering (QA) tasks often investigate specific question types,...
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05/18/2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Achieving machine autonomy and human control often represent divergent o...
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05/12/2023
Answering Complex Questions over Text by Hybrid Question Parsing and Execution
The dominant paradigm of textual question answering systems is based on ...
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05/03/2023
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages
Large language models (LLMs) have demonstrated remarkable abilities in r...
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04/03/2023
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
Cross-lingual transfer of language models trained on high-resource langu...
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01/28/2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Since random initial models in Federated Learning (FL) can easily result...
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12/17/2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Dense retrievers have made significant strides in obtaining state-of-the...
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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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11/09/2022
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
Parsing natural language questions into executable logical forms is a us...
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10/22/2022
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models
Pre-trained multilingual language models show significant performance ga...
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08/20/2022
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
Training keyphrase generation (KPG) models requires a large amount of an...
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07/21/2022
BigIssue: A Realistic Bug Localization Benchmark
As machine learning tools progress, the inevitable question arises: How ...
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07/05/2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control
Abstractive summarization systems leveraging pre-training language model...
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05/18/2022
Modeling Multi-hop Question Answering as Single Sequence Prediction
Fusion-in-decoder (Fid) (Izacard and Grave, 2020) is a generative questi...
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05/17/2022
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval
Aligning parallel sentences in multilingual corpora is essential to cura...
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03/25/2022
A Conversational Paradigm for Program Synthesis
Program synthesis strives to generate a computer program as a solution t...
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03/15/2022
Long Document Summarization with Top-down and Bottom-up Inference
Text summarization aims to condense long documents and retain key inform...
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03/14/2022
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering
While both extractive and generative readers have been successfully appl...
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02/22/2022
Efficient and Differentiable Conformal Prediction with General Function Classes
Quantifying the data uncertainty in learning tasks is often done by lear...
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10/28/2021
Dense Hierarchical Retrieval for Open-Domain Question Answering
Dense neural text retrieval has achieved promising results on open-domai...
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10/21/2021
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization
In Domain Generalization (DG) settings, models trained on a given set of...
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09/20/2021
Merlion: A Machine Learning Library for Time Series
We introduce Merlion, an open-source machine learning library for time s...
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09/17/2021
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering
Existing KBQA approaches, despite achieving strong performance on i.i.d....
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04/26/2021
Focused Attention Improves Document-Grounded Generation
Document grounded generation is the task of using the information provid...
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10/24/2020
Unsupervised Paraphrase Generation via Dynamic Blocking
We propose Dynamic Blocking, a decoding algorithm which enables large-sc...
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10/24/2020
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Dialogue state trackers have made significant progress on benchmark data...
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10/22/2020
Online Structured Meta-learning
Learning quickly is of great importance for machine intelligence deploye...
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10/07/2020
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
We propose Deep Autoencoding Predictive Components (DAPC) – a self-super...
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06/05/2020
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
Online action detection in untrimmed videos aims to identify an action a...
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05/04/2020
Fast and Robust Unsupervised Contextual Biasing for Speech Recognition
Automatic speech recognition (ASR) system is becoming a ubiquitous techn...
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03/01/2020
Differentially Private Deep Learning with Smooth Sensitivity
Ensuring the privacy of sensitive data used to train modern machine lear...
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06/05/2019
Private Deep Learning with Teacher Ensembles
Privacy-preserving deep learning is crucial for deploying deep neural ne...
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03/31/2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Addressing catastrophic forgetting is one of the key challenges in conti...
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07/01/2018
Augmented Cyclic Adversarial Learning for Domain Adaptation
Training a model to perform a task typically requires a large amount of ...
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04/03/2018
End-to-End Dense Video Captioning with Masked Transformer
Dense video captioning aims to generate text descriptions for all events...
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03/27/2018
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation
Domain adaptation plays an important role for speech recognition models,...
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12/19/2017
Improved Regularization Techniques for End-to-End Speech Recognition
Regularization is important for end-to-end speech models, since the mode...
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12/19/2017
Improving End-to-End Speech Recognition with Policy Learning
Connectionist temporal classification (CTC) is widely used for maximum l...
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05/21/2017
Spelling Correction as a Foreign Language
In this paper, we reformulated the spell correction problem as a machine...
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05/23/2016
On Optimality Conditions for Auto-Encoder Signal Recovery
Auto-Encoders are unsupervised models that aim to learn patterns from ob...
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03/04/2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
While the authors of Batch Normalization (BN) identify and address an im...
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12/05/2015
Maximum Entropy Binary Encoding for Face Template Protection
In this paper we present a framework for secure identification using dee...
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06/14/2015
Deep Secure Encoding: An Application to Face Recognition
In this paper we present Deep Secure Encoding: a framework for secure cl...
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05/21/2015
Why Regularized Auto-Encoders learn Sparse Representation?
While the authors of Batch Normalization (BN) identify and address an im...
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05/06/2014
Is Joint Training Better for Deep Auto-Encoders?
Traditionally, when generative models of data are developed via deep arc...
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07/01/2013