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09/12/2023
Unsupervised Learning of Nanoindentation Data to Infer Microstructural Details of Complex Materials
In this study, Cu-Cr composites were studied by nanoindentation. Arrays ...
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08/29/2023
C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model
Co-speech gesture generation is crucial for automatic digital avatar ani...
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08/17/2023
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
By integrating complementary information from RGB image and depth map, t...
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08/15/2023
Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
Knowledge tracing (KT) aims to monitor students' evolving knowledge stat...
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07/30/2023
User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination
In modern dialogue systems, the use of Large Language Models (LLMs) has ...
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07/14/2023
Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts
Zero-shot text-to-speech aims at synthesizing voices with unseen speech ...
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07/11/2023
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR
Deep neural networks (DNNs) are of critical use in different domains. To...
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07/10/2023
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space
Graph data management is instrumental for several use cases such as reco...
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06/23/2023
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering
Passenger clustering based on travel records is essential for transporta...
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06/22/2023
Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4
The advent and fast development of neural networks have revolutionized t...
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06/12/2023
Dynamic Causal Graph Convolutional Network for Traffic Prediction
Modeling complex spatiotemporal dependencies in correlated traffic serie...
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06/06/2023
Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias
Scaling text-to-speech to a large and wild dataset has been proven to be...
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06/06/2023
Ada-TTA: Towards Adaptive High-Quality Text-to-Talking Avatar Synthesis
We are interested in a novel task, namely low-resource text-to-talking a...
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06/05/2023
Nonparametric Iterative Machine Teaching
In this paper, we consider the problem of Iterative Machine Teaching (IM...
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06/05/2023
MM-DAG: Multi-task DAG Learning for Multi-modal Data – with Application for Traffic Congestion Analysis
This paper proposes to learn Multi-task, Multi-modal Direct Acyclic Grap...
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06/03/2023
Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit
In recent years, medical information technology has made it possible for...
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06/02/2023
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance
The chest X-ray is often utilized for diagnosing common thoracic disease...
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06/01/2023
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension
The multi-answer phenomenon, where a question may have multiple answers ...
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05/30/2023
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Causal reasoning, the ability to identify cause-and-effect relationship,...
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05/29/2023
Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation
Large diffusion models have been successful in text-to-audio (T2A) synth...
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05/24/2023
Lawyer LLaMA Technical Report
Large Language Models (LLMs), like LLaMA, have exhibited remarkable perf...
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05/21/2023
Task-agnostic Distillation of Encoder-Decoder Language Models
Finetuning pretrained language models (LMs) have enabled appealing perfo...
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05/20/2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Pretrained language models (LMs) have shown compelling performance on va...
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05/20/2023
EE-TTS: Emphatic Expressive TTS with Linguistic Information
While Current TTS systems perform well in synthesizing high-quality spee...
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05/20/2023
Chest X-ray Image Classification: A Causal Perspective
The chest X-ray (CXR) is one of the most common and easy-to-get medical ...
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05/20/2023
Instrumental Variable Learning for Chest X-ray Classification
The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesse...
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05/18/2023
Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot
Rehabilitation training for patients with motor disabilities usually req...
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05/14/2023
SongDriver2: Real-time Emotion-based Music Arrangement with Soft Transition
Real-time emotion-based music arrangement, which aims to transform a giv...
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04/20/2023
Phoenix: Democratizing ChatGPT across Languages
This paper presents our efforts to democratize ChatGPT across language. ...
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04/15/2023
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
Transformer-based large language models (LLMs) have achieved great succe...
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03/23/2023
Modular Retrieval for Generalization and Interpretation
New retrieval tasks have always been emerging, thus urging the developme...
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03/22/2023
Road Extraction with Satellite Images and Partial Road Maps
Road extraction is a process of automatically generating road maps mainl...
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02/26/2023
Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
Although many large-scale knowledge bases (KBs) claim to contain multili...
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12/18/2022
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment
Chatbots are expected to be knowledgeable across multiple domains, e.g. ...
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12/13/2022
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster
Artificial intelligence is to teach machines to take actions like humans...
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12/13/2022
Airline service quality ranking based on combined TOPSIS-VIKOR-AISM model
The service quality ranking of airlines is a crucial factor for their su...
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11/23/2022
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing
Knowledge tracing aims to trace students' evolving knowledge states by p...
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11/01/2022
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation
While deep generative models have empowered music generation, it remains...
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10/25/2022
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
Recent model-based reference-free metrics for open-domain dialogue evalu...
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10/21/2022
Analyzing and Evaluating Faithfulness in Dialogue Summarization
Dialogue summarization is abstractive in nature, making it suffer from f...
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10/10/2022
XPrompt: Exploring the Extreme of Prompt Tuning
Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...
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10/09/2022
Does Thermal Really Always Matter for RGB-T Salient Object Detection?
In recent years, RGB-T salient object detection (SOD) has attracted cont...
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10/08/2022
Sparse Teachers Can Be Dense with Knowledge
Recent advances in distilling pretrained language models have discovered...
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10/06/2022
CIR-Net: Cross-modality Interaction and Refinement for RGB-D Salient Object Detection
Focusing on the issue of how to effectively capture and utilize cross-mo...
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09/24/2022
Asset Pricing and Deep Learning
Traditional machine learning methods have been widely studied in financi...
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09/24/2022
A Focused Study on Sequence Length for Dialogue Summarization
Output length is critical to dialogue summarization systems. The dialogu...
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09/22/2022
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training
An activation function is an element-wise mathematical function and play...
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09/13/2022
SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias
Real-time music accompaniment generation has a wide range of application...
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09/07/2022
Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering
Multi-hop Knowledge Base Question Answering(KBQA) aims to find the answe...
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09/07/2022