research
∙
07/31/2023
Virtual Prompt Injection for Instruction-Tuned Large Language Models
We present Virtual Prompt Injection (VPI) for instruction-tuned Large La...
share
research
∙
07/20/2023
Instruction-following Evaluation through Verbalizer Manipulation
While instruction-tuned models have shown remarkable success in various ...
research
∙
07/17/2023
AlpaGasus: Training A Better Alpaca with Fewer Data
Large language models (LLMs) obtain instruction-following capability thr...
research
∙
04/12/2023
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA
Recent works demonstrate a remarkable ability to customize text-to-image...
research
∙
04/06/2023
To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement
Keyword spotting systems continuously process audio streams to detect ke...
research
∙
01/30/2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
The ability to accurately locate and navigate to a specific object is a ...
research
∙
01/13/2023
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer
The recently proposed Vision transformers (ViTs) have shown very impress...
research
∙
12/20/2022
Hybrid Rule-Neural Coreference Resolution System based on Actor-Critic Learning
A coreference resolution system is to cluster all mentions that refer to...
research
∙
12/18/2022
Neural Coreference Resolution based on Reinforcement Learning
The target of a coreference resolution system is to cluster all mentions...
research
∙
12/18/2022
A Robust Semantic Frame Parsing Pipeline on a New Complex Twitter Dataset
Most recent semantic frame parsing systems for spoken language understan...
research
∙
10/19/2022
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling
Joint intent detection and slot filling is a key research topic in natur...
research
∙
06/30/2022
Language model compression with weighted low-rank factorization
Factorizing a large matrix into small matrices is a popular strategy for...
research
∙
01/25/2022
MGA-VQA: Multi-Granularity Alignment for Visual Question Answering
Learning to answer visual questions is a challenging task since the mult...
research
∙
01/05/2022
Hyperparameter-free Continuous Learning for Domain Classification in Natural Language Understanding
Domain classification is the fundamental task in natural language unders...
research
∙
12/30/2021
Automatic Mixed-Precision Quantization Search of BERT
Pre-trained language models such as BERT have shown remarkable effective...
research
∙
12/13/2021
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs
Conversational Information Seeking (CIS) is a relatively new research ar...
research
∙
10/28/2021
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data
Moving beyond testing on in-distribution data works on Out-of-Distributi...
research
∙
08/23/2021
Using Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
Information Extraction from visual documents enables convenient and inte...
research
∙
06/28/2021
Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU
Intent classification is a major task in spoken language understanding (...
research
∙
06/01/2021
A Coarse to Fine Question Answering System based on Reinforcement Learning
In this paper, we present a coarse to fine question answering (CFQA) sys...
research
∙
04/16/2021
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase
We introduce a data augmentation technique based on byte pair encoding a...
research
∙
03/29/2021
Entity Context Graph: Learning Entity Representations fromSemi-Structured Textual Sources on the Web
Knowledge is captured in the form of entities and their relationships an...
research
∙
02/09/2021
Negative Data Augmentation
Data augmentation is often used to enlarge datasets with synthetic sampl...
research
∙
10/16/2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN
One major task of spoken language understanding (SLU) in modern personal...
research
∙
10/04/2020
Generating Dialogue Responses from a Semantic Latent Space
Existing open-domain dialogue generation models are usually trained to m...
research
∙
05/22/2020
A Complex KBQA System using Multiple Reasoning Paths
Multi-hop knowledge based question answering (KBQA) is a complex task fo...
research
∙
05/04/2020
Reward Constrained Interactive Recommendation with Natural Language Feedback
Text-based interactive recommendation provides richer user feedback and ...
research
∙
05/04/2020
Customizable and Rigorous Location Privacy through Policy Graph
Location privacy has been extensively studied in the literature. However...
research
∙
02/26/2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Deep neural networks have attained remarkable performance when applied t...
research
∙
10/15/2019
Iterative Delexicalization for Improved Spoken Language Understanding
Recurrent neural network (RNN) based joint intent classification and slo...
research
∙
02/11/2019
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded
Many vision and language models suffer from poor visual grounding - ofte...
research
∙
12/26/2018
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Intent detection and slot filling are two main tasks for building a spok...
research
∙
12/26/2018
A New Concept of Deep Reinforcement Learning based Augmented General Sequence Tagging System
In this paper, a new deep reinforcement learning based augmented general...
research
∙
10/03/2018
A Neural Transition-based Model for Nested Mention Recognition
It is common that entity mentions can contain other mentions recursively...
research
∙
09/18/2018
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks
Semantic frame parsing is a crucial component in spoken language underst...
research
∙
09/17/2018
Robust Spoken Language Understanding via Paraphrasing
Learning intents and slot labels from user utterances is a fundamental s...
research
∙
01/01/2018
Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases
Text representation using neural word embeddings has proven efficacy in ...
research
∙
10/21/2017
Deep Neural Network Approximation using Tensor Sketching
Deep neural networks are powerful learning models that achieve state-of-...
research
∙
01/04/2017