Search Results for author: Lei Lin

Found 30 papers, 7 papers with code

An Attention-Based Denoising Framework for Personality Detection in Social Media Texts

no code implementations16 Nov 2023 Qirui Tang, Wenkang Jiang, Yihua Du, Lei Lin

In social media networks, users produce a large amount of text content anytime, providing researchers with a valuable approach to digging for personality-related information.


Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios

no code implementations14 Nov 2023 Lei Lin, Jiayi Fu, Pengli Liu, Qingyang Li, Yan Gong, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

Although chain-of-thought (CoT) prompting combined with language models has achieved encouraging results on complex reasoning tasks, the naive greedy decoding used in CoT prompting usually causes the repetitiveness and local optimality.

Language Modelling

SkyMath: Technical Report

1 code implementation25 Oct 2023 Liu Yang, Haihua Yang, Wenjun Cheng, Lei Lin, Chenxia Li, Yifu Chen, Lunan Liu, Jianfei Pan, Tianwen Wei, Biye Li, Liang Zhao, Lijie Wang, Bo Zhu, Guoliang Li, Xuejie Wu, Xilin Luo, Rui Hu

Large language models (LLMs) have shown great potential to solve varieties of natural language processing (NLP) tasks, including mathematical reasoning.

GSM8K Language Modelling +2

KwaiYiiMath: Technical Report

no code implementations11 Oct 2023 Jiayi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, ShengNan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

Recent advancements in large language models (LLMs) have demonstrated remarkable abilities in handling a variety of natural language processing (NLP) downstream tasks, even on mathematical tasks requiring multi-step reasoning.

Ranked #87 on Arithmetic Reasoning on GSM8K (using extra training data)

Arithmetic Reasoning GSM8K +1

Layer-wise Representation Fusion for Compositional Generalization

no code implementations20 Jul 2023 Yafang Zheng, Lei Lin, Shuangtao Li, Yuxuan Yuan, Zhaohong Lai, Shan Liu, Biao Fu, Yidong Chen, Xiaodong Shi

Inspired by this, we propose LRF, a novel \textbf{L}ayer-wise \textbf{R}epresentation \textbf{F}usion framework for CG, which learns to fuse previous layers' information back into the encoding and decoding process effectively through introducing a \emph{fuse-attention module} at each encoder and decoder layer.

Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization

no code implementations20 May 2023 Lei Lin, Shuangtao Li, Yafang Zheng, Biao Fu, Shan Liu, Yidong Chen, Xiaodong Shi

There is mounting evidence that one of the reasons hindering CG is the representation of the encoder uppermost layer is entangled, i. e., the syntactic and semantic representations of sequences are entangled.

LEAPT: Learning Adaptive Prefix-to-prefix Translation For Simultaneous Machine Translation

no code implementations21 Mar 2023 Lei Lin, Shuangtao Li, Xiaodong Shi

Simultaneous machine translation, which aims at a real-time translation, is useful in many live scenarios but very challenging due to the trade-off between accuracy and latency.

Machine Translation Sentence +1

Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from Videos

no code implementations7 Oct 2022 Boyang Zhang, Suping Wu, Hu Cao, Kehua Ma, Pan Li, Lei Lin

Different from them, our STR aims to learn accurate and natural motion sequences in an unconstrained environment through temporal and spatial tendency and to fully excavate the spatio-temporal features of existing video data.

3D Human Pose Estimation Temporal Sequences

Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network

1 code implementation22 Nov 2021 Lei Lin, Weizi Li, Lei Zhu

For instance, our model reduces MAE by 25. 3%, RMSE by 29. 2%, and MAPE by 20. 2%, compared to the state-of-the-art Diffusion Convolutional Recurrent Neural Network (DCRNN) model using the hourly dataset.

Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data

no code implementations6 Nov 2021 Zhongkai Shangguan, Zihe Zheng, Lei Lin

Nowadays social media platforms such as Twitter provide a great opportunity to understand public opinion of climate change compared to traditional survey methods.

Robust Ensembling Network for Unsupervised Domain Adaptation

1 code implementation21 Aug 2021 Han Sun, Lei Lin, Ningzhong Liu, Huiyu Zhou

In this paper, we propose a Robust Ensembling Network (REN) for UDA, which applies a robust time ensembling teacher network to learn global information for domain transfer.

Unsupervised Domain Adaptation

KuiLeiXi: a Chinese Open-Ended Text Adventure Game

no code implementations ACL 2021 Yadong Xi, Xiaoxi Mao, Le Li, Lei Lin, Yanjiang Chen, Shuhan Yang, Xuhan Chen, Kailun Tao, Zhi Li, Gongzheng li, Lin Jiang, Siyan Liu, Zeng Zhao, Minlie Huang, Changjie Fan, Zhipeng Hu

Equipped with GPT-2 and the latest GPT-3, AI Dungeon has been seen as a famous example of the powerful text generation capabilities of large-scale pre-trained language models, and a possibility for future games.

Story Generation

MDQE: A More Accurate Direct Pretraining for Machine Translation Quality Estimation

no code implementations24 Jul 2021 Lei Lin

However, we argue that there are still gaps between the predictor and the estimator in both data quality and training objectives, which preclude QE models from benefiting from a large number of parallel corpora more directly.

Machine Translation Translation

Neural Process for Black-Box Model Optimization Under Bayesian Framework

no code implementations3 Apr 2021 Zhongkai Shangguan, Lei Lin, Wencheng Wu, Beilei Xu

In order to validate the benefits of NPBO, we compare NPBO with four benchmark approaches on a power system parameter optimization problem and a series of seven benchmark Bayesian optimization problems.

Bayesian Optimization Model Optimization

MCFlow: Monte Carlo Flow Models for Data Imputation

1 code implementation CVPR 2020 Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal

We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data.


YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

1 code implementation30 Jul 2018 Tao Li, Lei Lin, Minsoo Choi, Kaiming Fu, Siyuan Gong, Jian Wang

With one billion monthly viewers, and millions of users discussing and sharing opinions, comments below YouTube videos are rich sources of data for opinion mining and sentiment analysis.

Opinion Mining Self-Driving Cars +1

ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention

no code implementations SEMEVAL 2018 Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu

Semantic Evaluation (SemEval) 2018 Task 12 {``}The Argument Reasoning Comprehension{''} committed to research natural language reasoning.

Information Retrieval Machine Translation +5

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

no code implementations13 Dec 2017 Lei Lin, Zhengbing He, Srinivas Peeta

Two architectures of the GCNN-DDGF model are explored; GCNNreg-DDGF is a regular GCNN-DDGF model which contains the convolution and feedforward blocks, and GCNNrec-DDGF additionally contains a recurrent block from the Long Short-term Memory neural network architecture to capture temporal dependencies in the bike-sharing demand series.

Reliability and Sharpness in Border Crossing Traffic Interval Prediction

no code implementations13 Nov 2017 Lei Lin, John Handley, Adel Sadek

Short-term traffic volume prediction models have been extensively studied in the past few decades.

Management Prediction Intervals +1

Abnormal Spatial-Temporal Pattern Analysis for Niagara Frontier Border Wait Times

no code implementations31 Oct 2017 Zhenhua Zhang, Lei Lin

It can identify the abnormal spatial-temporal patterns for both passenger vehicles and trucks at three bridges connecting US and Canada.


Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree

no code implementations20 Jan 2017 Lei Lin, Qian Wang, Adel W. Sadek

Both the proposed method based on the FP tree algorithm, as well as the widely utilized, random forest method, were then used to identify the important variables or the Virginia dataset.

Variable Selection

Radical-Enhanced Chinese Character Embedding

no code implementations18 Apr 2014 Yaming Sun, Lei Lin, Duyu Tang, Nan Yang, Zhenzhou Ji, Xiaolong Wang

We present a method to leverage radical for learning Chinese character embedding.

Chinese Word Segmentation

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