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09/12/2023
Digital Twin System for Home Service Robot Based on Motion Simulation
In order to improve the task execution capability of home service robot,...
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08/28/2023
Rep2wav: Noise Robust text-to-speech Using self-supervised representations
Benefiting from the development of deep learning, text-to-speech (TTS) t...
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08/27/2023
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
This paper proposes Text mAtching based SequenTial rEcommendation model ...
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08/23/2023
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Knowledge base question answering (KBQA) is a critical yet challenging t...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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08/07/2023
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Large language models (LLMs) have demonstrated remarkable generalizabili...
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08/04/2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology
Clinical trial matching is a key process in health delivery and discover...
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07/12/2023
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
Large language models (LLMs), such as GPT-4, have demonstrated remarkabl...
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06/22/2023
Swarm of One: Bottom-up Emergence of Stable Robot Bodies from Identical Cells
Unlike most human-engineered systems, biological systems are emergent fr...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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06/09/2023
Mind2Web: Towards a Generalist Agent for the Web
We introduce Mind2Web, the first dataset for developing and evaluating g...
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05/31/2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
This paper presents Structure Aware Dense Retrieval (SANTA) model, which...
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05/29/2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition
Because of the ambiguous and subjective property of the facial expressio...
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05/11/2023
Rhino: An Autonomous Robot for Mapping Underground Mine Environments
There are many benefits for exploring and exploiting underground mines, ...
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05/02/2023
Few-shot In-context Learning for Knowledge Base Question Answering
Question answering over knowledge bases is considered a difficult proble...
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03/07/2023
Feeling Optimistic? Ambiguity Attitudes for Online Decision Making
As autonomous agents enter complex environments, it becomes more difficu...
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12/19/2022
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
A key missing ability of current language models (LMs) is grounding to r...
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09/16/2022
Maximum Likelihood Estimation for Semiparametric Regression Models with Interval-Censored Multi-State Data
Interval-censored multi-state data arise in many studies of chronic dise...
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09/12/2022
Knowledge Base Question Answering: A Semantic Parsing Perspective
Recent advances in deep learning have greatly propelled the research on ...
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07/27/2022
Proprioceptive Slip Detection for Planetary Rovers in Perceptually Degraded Extraterrestrial Environments
Slip detection is of fundamental importance for the safety and efficienc...
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05/06/2022
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
Dense retrievers encode texts and map them in an embedding space using p...
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04/17/2022
ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering
Question answering on knowledge bases (KBQA) poses a unique challenge fo...
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03/23/2022
A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors
We propose a general framework for creating parameterized control scheme...
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02/25/2022
HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction
With the development of temporal networks such as E-commerce networks an...
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12/15/2021
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing
Motivation: A perennial challenge for biomedical researchers and clinica...
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09/20/2021
NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations
Plans for establishing a long-term human presence on the Moon will requi...
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09/17/2021
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is an emerging fine-grained senti...
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07/21/2021
SkyCell: A Space-Pruning Based Parallel Skyline Algorithm
Skyline computation is an essential database operation that has many app...
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06/03/2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Knowledge bases (KBs) and text often contain complementary knowledge: KB...
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03/13/2021
Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization
The zero-velocity update (ZUPT) algorithm provides valuable state inform...
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02/11/2021
Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment
We present a waypoint planning algorithm for an unmanned aerial vehicle ...
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12/10/2020
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition
In recent years, speech emotion recognition technology is of great signi...
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11/16/2020
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
Existing studies on question answering on knowledge bases (KBQA) mainly ...
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07/31/2020
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
Pretraining large neural language models, such as BERT, has led to impre...
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04/23/2020
ByteSing: A Chinese Singing Voice Synthesis System Using Duration Allocated Encoder-Decoder Acoustic Models and WaveRNN Vocoders
This paper presents ByteSing, a Chinese singing voice synthesis (SVS) sy...
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04/21/2020
WiFE: WiFi and Vision based Intelligent Facial-Gesture Emotion Recognition
Emotion is an essential part of Artificial Intelligence (AI) and human m...
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08/27/2019
EmoSense: Computational Intelligence Driven Emotion Sensing via Wireless Channel Data
Emotion is well-recognized as a distinguished symbol of human beings, an...
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08/14/2019
WiFi-based Real-time Breathing and Heart Rate Monitoring during Sleep
Good quality sleep is essential for good health and sleep monitoring bec...
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08/12/2019
SleepGuardian: An RF-based Healthcare System Guarding Your Sleep from Afar
The ever accelerating process of urbanization urges more and more popula...
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07/13/2019
BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior
The ever evolving informatics technology has gradually bounded human and...
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06/21/2019
Flower Interaction Subsystem for a Precision Pollination Robot
Robotic pollinators not only can aid farmers by providing more cost effe...
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06/20/2019
Improved Planetary Rover Inertial Navigation and Wheel Odometry Performance through Periodic Use of Zero-Type Constraints
We present an approach to enhance wheeled planetary rover dead-reckoning...
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06/04/2019
A Hybrid Cache Architecture for Meeting Per-Tenant Performance Goals in a Private Cloud
The in-memory cache system is an important component in a cloud for the ...
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02/02/2019
Learning-based Dynamic Cache Management in a Cloud
Caches are an important component of modern computing systems given thei...
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08/29/2018
Design of an Autonomous Precision Pollination Robot
Precision robotic pollination systems can not only fill the gap of decli...
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07/25/2018
Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee
Massive machine-type communication (mMTC) is a new focus of services in ...
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07/21/2018
Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC
Grant-free transmission is considered as a promising technology to suppo...
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06/22/2018
Multi-task WaveNet: A Multi-task Generative Model for Statistical Parametric Speech Synthesis without Fundamental Frequency Conditions
This paper introduces an improved generative model for statistical param...
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03/29/2018
Effective Capacity Analysis in Ultra-Dense Wireless Networks with Random Interference
Ultra-dense networks (UDNs) provide a promising paradigm to cope with ex...
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02/06/2018