Search Results for author: Nuo Chen

Found 46 papers, 17 papers with code

A Transformer-based Threshold-Free Framework for Multi-Intent NLU

no code implementations COLING 2022 Lisung Chen, Nuo Chen, Yuexian Zou, Yong Wang, Xinzhong Sun

Furthermore, we propose a threshold-free intent multi-intent classifier that utilizes the output of IND task and detects the multiple intents without depending on the threshold.

Multi-Task Learning Natural Language Understanding

Structure-aware Fine-tuning for Code Pre-trained Models

no code implementations11 Apr 2024 Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

Over the past few years, we have witnessed remarkable advancements in Code Pre-trained Models (CodePTMs).

Multi-Task Learning

Decoy Effect In Search Interaction: Understanding User Behavior and Measuring System Vulnerability

no code implementations27 Mar 2024 Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu

This study examines the decoy effect's underexplored influence on user search interactions and methods for measuring information retrieval (IR) systems' vulnerability to this effect.

Information Retrieval Retrieval

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People

1 code implementation6 Mar 2024 Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang

Despite the vast repository of global medical knowledge predominantly being in English, local languages are crucial for delivering tailored healthcare services, particularly in areas with limited medical resources.

GraphWiz: An Instruction-Following Language Model for Graph Problems

no code implementations25 Feb 2024 Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li

Large language models (LLMs) have achieved impressive success across several fields, but their proficiency in understanding and resolving complex graph problems is less explored.

Instruction Following Language Modelling

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting

no code implementations18 Dec 2023 Nuo Chen, Hongguang Li, Baoyuan Wang, Jia Li

IMP-TIP follows the ``From Good to Great" concept, collecting multiple potential solutions from both LLMs and their Tool-Augmented counterparts for the same math problem, and then selecting or re-generating the most accurate answer after cross-checking these solutions via tool-augmented interleaf prompting.

GSM8K Math +1

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers

1 code implementation7 Dec 2023 Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li

This paper presents an in-depth analysis of Large Language Models (LLMs), focusing on LLaMA, a prominent open-source foundational model in natural language processing.

Math Multiple-choice +1

Decoy Effect in Search Interaction: A Pilot Study

no code implementations4 Nov 2023 Nuo Chen, Jiqun Liu, Tetsuya Sakai, Xiao-Ming Wu

In recent years, the influence of cognitive effects and biases on users' thinking, behaving, and decision-making has garnered increasing attention in the field of interactive information retrieval.

Decision Making Information Retrieval +1

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations

1 code implementation31 Oct 2023 Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li

This indicates that crafting multilingual corpora can be regarded as a vital strategy for enhancing model performance in a specific language, especially in mathematical reasoning tasks.

GSM8K Math +1

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding

1 code implementation19 Oct 2023 Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li

The recent success of large pre-trained language models (PLMs) heavily hinges on massive labeled data, which typically produces inferior performance in low-resource scenarios.

A Meta-Evaluation of C/W/L/A Metrics: System Ranking Similarity, System Ranking Consistency and Discriminative Power

no code implementations6 Jul 2023 Nuo Chen, Tetsuya Sakai

In this study, we investigate the statistical stability of C/W/L/A metrics from the perspective of: (1) the system ranking similarity among aggregations, (2) the system ranking consistency of aggregations and (3) the discriminative power of aggregations.

Information Retrieval

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

no code implementations10 Jun 2023 Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao

To mitigate this brittleness, we propose a novel Chain-of-Knowledge (CoK) prompting, where we aim at eliciting LLMs to generate explicit pieces of knowledge evidence in the form of structure triple.

Arithmetic Reasoning

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills

no code implementations23 May 2023 Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao

To tackle the issue, in this paper, we present TransCoder, a unified Transferable fine-tuning strategy for Code representation learning.

Clone Detection Code Summarization +2

ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models

2 code implementations11 May 2023 Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu

Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommendation services.

Navigate News Generation +3

Alleviating Over-smoothing for Unsupervised Sentence Representation

1 code implementation9 May 2023 Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li

Currently, learning better unsupervised sentence representations is the pursuit of many natural language processing communities.

Contrastive Learning Semantic Textual Similarity +1

Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision

1 code implementation CVPR 2023 Xinyi Ying, Li Liu, Yingqian Wang, Ruojing Li, Nuo Chen, Zaiping Lin, Weidong Sheng, Shilin Zhou

Interestingly, during the training phase supervised by point labels, we discover that CNNs first learn to segment a cluster of pixels near the targets, and then gradually converge to predict groundtruth point labels.

Improve Retrieval-based Dialogue System via Syntax-Informed Attention

no code implementations12 Mar 2023 Tengtao Song, Nuo Chen, Ji Jiang, Zhihong Zhu, Yuexian Zou

Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks.

Retrieval Sentence

HugNLP: A Unified and Comprehensive Library for Natural Language Processing

2 code implementations28 Feb 2023 Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao

In this paper, we introduce HugNLP, a unified and comprehensive library for natural language processing (NLP) with the prevalent backend of HuggingFace Transformers, which is designed for NLP researchers to easily utilize off-the-shelf algorithms and develop novel methods with user-defined models and tasks in real-world scenarios.

FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering

1 code implementation23 Feb 2023 Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou

Despite the promising result of recent KAQA systems which tend to integrate linguistic knowledge from pre-trained language models (PLM) and factual knowledge from knowledge graphs (KG) to answer complex questions, a bottleneck exists in effectively fusing the representations from PLMs and KGs because of (i) the semantic and distributional gaps between them, and (ii) the difficulties in joint reasoning over the provided knowledge from both modalities.

Knowledge Graphs Question Answering +1

Natural Response Generation for Chinese Reading Comprehension

1 code implementation17 Feb 2023 Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li

To this end, we construct a new dataset called Penguin to promote the research of MRC, providing a training and test bed for natural response generation to real scenarios.

Chinese Reading Comprehension Machine Reading Comprehension +1

Bridge the Gap between Language models and Tabular Understanding

no code implementations16 Feb 2023 Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li

For instance, TPLMs jointly pre-trained with table and text input could be effective for tasks also with table-text joint input like table question answering, but it may fail for tasks with only tables or text as input such as table retrieval.

Contrastive Learning Language Modelling +2

Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax

no code implementations12 Dec 2022 Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li

To address these challenges, we formulate the micro perspective mobility modeling into computing the relevance score between a diffusion and a location, conditional on a geometric graph.

Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension

no code implementations18 Aug 2022 Nuo Chen, Chenyu You

To predict the answer, it is common practice to employ a predictor to draw information only from the final encoder layer which generates the coarse-grained representations of the source sequences, i. e., passage and question.

Machine Reading Comprehension

Automatic Prosody Annotation with Pre-Trained Text-Speech Model

1 code implementation16 Jun 2022 Ziqian Dai, Jianwei Yu, Yan Wang, Nuo Chen, Yanyao Bian, Guangzhi Li, Deng Cai, Dong Yu

Prosodic boundary plays an important role in text-to-speech synthesis (TTS) in terms of naturalness and readability.

Speech Synthesis Text-To-Speech Synthesis

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model

no code implementations Findings (NAACL) 2022 Chenyu You, Nuo Chen, Fenglin Liu, Shen Ge, Xian Wu, Yuexian Zou

To evaluate the capacity of SCQA systems in a dialogue-style interaction, we assemble a Spoken Conversational Question Answering (Spoken-CoQA) dataset with more than 40k question-answer pairs from 4k conversations.

4k Conversational Question Answering +2

Detecting Recolored Image by Spatial Correlation

no code implementations23 Apr 2022 Yushu Zhang, Nuo Chen, Shuren Qi, Mingfu Xue, Xiaochun Cao

In this paper, we try to explore a solution from the perspective of the spatial correlation, which exhibits the generic detection capability for both conventional and deep learning-based recoloring.

Image Forensics Image Manipulation

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling

no code implementations NAACL 2022 Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang

Large-scale cross-lingual pre-trained language models (xPLMs) have shown effectiveness in cross-lingual sequence labeling tasks (xSL), such as cross-lingual machine reading comprehension (xMRC) by transferring knowledge from a high-resource language to low-resource languages.

Contrastive Learning Language Modelling +1

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension

no code implementations9 Dec 2021 Nuo Chen, Linjun Shou, Min Gong, Jian Pei, Daxin Jiang

Cross-lingual Machine Reading Comprehension (xMRC) is challenging due to the lack of training data in low-resource languages.

Contrastive Learning Machine Reading Comprehension

Self-supervised Contrastive Cross-Modality Representation Learning for Spoken Question Answering

no code implementations Findings (EMNLP) 2021 Chenyu You, Nuo Chen, Yuexian Zou

In this paper, we propose novel training schemes for spoken question answering with a self-supervised training stage and a contrastive representation learning stage.

Question Answering Representation Learning

Towards Visual Explainable Active Learning for Zero-Shot Classification

no code implementations15 Aug 2021 Shichao Jia, Zeyu Li, Nuo Chen, Jiawan Zhang

This paper proposes a visual explainable active learning approach with its design and implementation called semantic navigator to solve the above problems.

Active Learning Attribute +2

Text Anchor Based Metric Learning for Small-footprint Keyword Spotting

no code implementations12 Aug 2021 Li Wang, Rongzhi Gu, Nuo Chen, Yuexian Zou

Recently proposed metric learning approaches improved the generalizability of models for the KWS task, and 1D-CNN based KWS models have achieved the state-of-the-arts (SOTA) in terms of model size.

Metric Learning Small-Footprint Keyword Spotting

Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension

no code implementations20 Dec 2020 Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou

To predict the answer, it is common practice to employ a predictor to draw information only from the final encoder layer which generates the \textit{coarse-grained} representations of the source sequences, i. e., passage and question.

Machine Reading Comprehension

Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array

no code implementations1 Nov 2020 Baihua Shi, Nuo Chen, Xicheng Zhu, Yuwen Qian, Yijin Zhang, Feng Shu, Jiangzhou Wang

In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike a good balance between performance and circuit cost.

Information Theory Signal Processing Information Theory

Contextualized Attention-based Knowledge Transfer for Spoken Conversational Question Answering

no code implementations21 Oct 2020 Chenyu You, Nuo Chen, Yuexian Zou

Spoken conversational question answering (SCQA) requires machines to model complex dialogue flow given the speech utterances and text corpora.

Audio Signal Processing Conversational Question Answering +2

Knowledge Distillation for Improved Accuracy in Spoken Question Answering

no code implementations21 Oct 2020 Chenyu You, Nuo Chen, Yuexian Zou

However, the recent work shows that ASR systems generate highly noisy transcripts, which critically limit the capability of machine comprehension on the SQA task.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Towards Data Distillation for End-to-end Spoken Conversational Question Answering

no code implementations18 Oct 2020 Chenyu You, Nuo Chen, Fenglin Liu, Dongchao Yang, Yuexian Zou

In spoken question answering, QA systems are designed to answer questions from contiguous text spans within the related speech transcripts.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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