b'Chen Zhang'

research

∙ 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,...

0 Xiao Liu, et al. ∙

research

∙ 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...

0 Jiawei Huang, et al. ∙

research

∙ 05/24/2023

Lawyer LLaMA Technical Report

Large Language Models (LLMs), like LLaMA, have exhibited remarkable perf...

0 Quzhe Huang, et al. ∙

research

∙ 05/21/2023

Task-agnostic Distillation of Encoder-Decoder Language Models

Finetuning pretrained language models (LMs) have enabled appealing perfo...

0 Chen Zhang, et al. ∙

research

∙ 05/20/2023

Lifting the Curse of Capacity Gap in Distilling Language Models

Pretrained language models (LMs) have shown compelling performance on va...

0 Chen Zhang, et al. ∙

research

∙ 05/20/2023

EE-TTS: Emphatic Expressive TTS with Linguistic Information

While Current TTS systems perform well in synthesizing high-quality spee...

0 Yi Zhong, et al. ∙

research

∙ 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 ...

0 Weizhi Nie, et al. ∙

research

∙ 05/20/2023

Instrumental Variable Learning for Chest X-ray Classification

The chest X-ray (CXR) is commonly employed to diagnose thoracic illnesse...

0 Weizhi Nie, et al. ∙

research

∙ 05/18/2023

Adaptive Learning based Upper-Limb Rehabilitation Training System with Collaborative Robot

Rehabilitation training for patients with motor disabilities usually req...

0 Jun Hong Lim, et al. ∙

research

∙ 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...

0 Zihao Wang, et al. ∙

research

∙ 04/20/2023

Phoenix: Democratizing ChatGPT across Languages

This paper presents our efforts to democratize ChatGPT across language. ...

0 Zhihong Chen, et al. ∙

research

∙ 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...

0 Cong Guo, et al. ∙

research

∙ 03/23/2023

Modular Retrieval for Generalization and Interpretation

New retrieval tasks have always been emerging, thus urging the developme...

0 Juhao Liang, et al. ∙

research

∙ 03/22/2023

Road Extraction with Satellite Images and Partial Road Maps

Road extraction is a process of automatically generating road maps mainl...

0 Qianxiong Xu, et al. ∙

research

∙ 02/26/2023

Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension

Although many large-scale knowledge bases (KBs) claim to contain multili...

0 Chen Zhang, et al. ∙

research

∙ 12/18/2022

PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment

Chatbots are expected to be knowledgeable across multiple domains, e.g. ...

0 Chen Zhang, et al. ∙

research

∙ 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...

0 Chen Zhang, et al. ∙

research

∙ 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...

0 Yi Li, et al. ∙

research

∙ 11/23/2022

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing

Knowledge tracing aims to trace students' evolving knowledge states by p...

0 Chaoran Cui, et al. ∙

research

∙ 11/01/2022

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation

While deep generative models have empowered music generation, it remains...

0 Chen Zhang, et al. ∙

research

∙ 10/25/2022

FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation

Recent model-based reference-free metrics for open-domain dialogue evalu...

0 Chen Zhang, et al. ∙

research

∙ 10/21/2022

Analyzing and Evaluating Faithfulness in Dialogue Summarization

Dialogue summarization is abstractive in nature, making it suffer from f...

0 Bin Wang, et al. ∙

research

∙ 10/10/2022

XPrompt: Exploring the Extreme of Prompt Tuning

Prompt tuning learns soft prompts to condition frozen Pre-trained Langua...

0 Fang Ma, et al. ∙

research

∙ 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...

0 Runmin Cong, et al. ∙

research

∙ 10/08/2022

Sparse Teachers Can Be Dense with Knowledge

Recent advances in distilling pretrained language models have discovered...

4 Yi Yang, et al. ∙

research

∙ 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...

8 Runmin Cong, et al. ∙

research

∙ 09/24/2022

Asset Pricing and Deep Learning

Traditional machine learning methods have been widely studied in financi...

0 Chen Zhang, et al. ∙

research

∙ 09/24/2022

A Focused Study on Sequence Length for Dialogue Summarization

Output length is critical to dialogue summarization systems. The dialogu...

0 Bin Wang, et al. ∙

research

∙ 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...

0 Cong Guo, et al. ∙

research

∙ 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...

1 Zihao Wang, et al. ∙

research

∙ 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...

0 Haowei Du, et al. ∙

research

∙ 09/07/2022

A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

Fully-supervised salient object detection (SOD) methods have made great ...

0 Runmin Cong, et al. ∙

research

∙ 09/02/2022

Structural Bias for Aspect Sentiment Triplet Extraction

Structural bias has recently been exploited for aspect sentiment triplet...

0 Chen Zhang, et al. ∙

research

∙ 08/30/2022

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

Quantization is a technique to reduce the computation and memory cost of...

0 Cong Guo, et al. ∙

research

∙ 07/20/2022

Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets

Over-parameterized models, typically pre-trained language models (LMs), ...

2 Yi Yang, et al. ∙

research

∙ 07/17/2022

Aspect-specific Context Modeling for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims at predicting sentiment pola...

0 Fang Ma, et al. ∙

research

∙ 07/12/2022

ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships

Lyric-to-melody generation, which generates melody according to given ly...

0 Chen Zhang, et al. ∙

research

∙ 07/11/2022

SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder

Text summarization models are often trained to produce summaries that me...

0 Wuhang Lin, et al. ∙

research

∙ 05/29/2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

Driven by the teacher-student paradigm, knowledge distillation is one of...

6 Chen Zhang, et al. ∙

research

∙ 05/11/2022

Making Pre-trained Language Models Good Long-tailed Learners

Prompt-tuning has shown appealing performance in few-shot classification...

0 Chen Zhang, et al. ∙

research

∙ 05/09/2022

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

Text to speech (TTS) has made rapid progress in both academia and indust...

18 Xu Tan, et al. ∙

research

∙ 04/27/2022

Adaptable Text Matching via Meta-Weight Regulator

Neural text matching models have been used in a range of applications su...

0 Bo Zhang, et al. ∙

research

∙ 04/05/2022

Split Hierarchical Variational Compression

Variational autoencoders (VAEs) have witnessed great success in performi...

5 Tom Ryder, et al. ∙

research

∙ 03/25/2022

Automatic Song Translation for Tonal Languages

This paper develops automatic song translation (AST) for tonal languages...

0 Fenfei Guo, et al. ∙

research

∙ 03/18/2022

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges

This is a report on the NSF Future Directions Workshop on Automatic Eval...

6 Shikib Mehri, et al. ∙

research

∙ 02/23/2022

Data-Driven Decision Making in COVID-19 Response: A Survey

COVID-19 has spread all over the world, having an enormous effect on our...

0 Shuo Yu, et al. ∙

research

∙ 02/21/2022

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

The L3DAS22 Challenge is aimed at encouraging the development of machine...

5 Eric Guizzo, et al. ∙

research

∙ 02/21/2022

S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification

In this paper, we propose S3T, a self-supervised pre-training method wit...

0 Hang Zhao, et al. ∙

research

∙ 02/14/2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

Quantization of deep neural networks (DNN) has been proven effective for...

0 Cong Guo, et al. ∙

research

∙ 01/26/2022

A two-step backward compatible fullband speech enhancement system

Speech enhancement methods based on deep learning have surpassed traditi...

0 Xu Zhang, et al. ∙

Chen Zhang

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