b'Min Zhang'

research

∙ 09/19/2023

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch

Large language models (LLMs) with billions of parameters have demonstrat...

0 Juntao Li, et al. ∙

research

∙ 09/18/2023

CB-Whisper: Contextual Biasing Whisper using TTS-based Keyword Spotting

End-to-end automatic speech recognition (ASR) systems often struggle to ...

0 Yuang Li, et al. ∙

research

∙ 09/11/2023

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation

Remote sensing image semantic segmentation is an important problem for r...

0 Linhan Wang, et al. ∙

research

∙ 08/24/2023

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models

Instruction tuning is instrumental in enabling Large Language Models (LL...

0 Yue Wang, et al. ∙

research

∙ 08/19/2023

An Empirical Study of CLIP for Text-based Person Search

Text-based Person Search (TBPS) aims to retrieve the person images using...

0 Min Cao, et al. ∙

research

∙ 08/16/2023

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation

Large language models (LLMs) have been widely used in various applicatio...

0 Xinshuo Hu, et al. ∙

research

∙ 08/13/2023

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition

Electroencephalography (EEG) is an objective tool for emotion recognitio...

0 Weishan Ye, et al. ∙

research

∙ 08/09/2023

Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling

Video Semantic Role Labeling (VidSRL) aims to detect the salient events ...

0 Yu Zhao, et al. ∙

research

∙ 08/03/2023

XNLP: An Interactive Demonstration System for Universal Structured NLP

Structured Natural Language Processing (XNLP) is an important subset of ...

0 Hao Fei, et al. ∙

research

∙ 07/25/2023

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm

In this paper, we conduct a holistic exploration of the Universal Decomp...

0 Hexuan Deng, et al. ∙

research

∙ 07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...

0 Qingyao Ai, et al. ∙

research

∙ 07/12/2023

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking

Dividing ads ranking system into retrieval, early, and final stages is a...

0 Xuewei Wang, et al. ∙

research

∙ 07/01/2023

THUIR2 at NTCIR-16 Session Search (SS) Task

Our team(THUIR2) participated in both FOSS and POSS subtasks of the NTCI...

0 Weihang Su, et al. ∙

research

∙ 06/22/2023

Generative Multimodal Entity Linking

Multimodal Entity Linking (MEL) is the task of mapping mentions with mul...

0 Senbao Shi, et al. ∙

research

∙ 06/19/2023

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation

Existing skeleton-based action recognition methods typically follow a ce...

0 Jingwen Guo, et al. ∙

research

∙ 06/15/2023

Rethinking Document-Level Relation Extraction: A Reality Check

Recently, numerous efforts have continued to push up performance boundar...

0 Jing Li, et al. ∙

research

∙ 06/13/2023

Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment

Cross-lingual Machine Translation (MT) quality estimation plays a crucia...

0 Hao Yang, et al. ∙

research

∙ 06/05/2023

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images

Structured text extraction is one of the most valuable and challenging a...

0 Wenwen Yu, et al. ∙

research

∙ 05/27/2023

Disambiguated Lexically Constrained Neural Machine Translation

Lexically constrained neural machine translation (LCNMT), which controls...

0 Jinpeng Zhang, et al. ∙

research

∙ 05/26/2023

A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation

The robustness of deep neural networks (DNNs) is crucial to the hosting ...

0 Zhiyi Xue, et al. ∙

research

∙ 05/26/2023

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation

k-Nearest neighbor machine translation (kNN-MT) has attracted increasing...

0 Zhiwei Cao, et al. ∙

research

∙ 05/25/2023

NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts

We introduce NaSGEC, a new dataset to facilitate research on Chinese gra...

0 Yue Zhang, et al. ∙

research

∙ 05/25/2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

Domain generalization (DG) is a prevalent problem in real-world applicat...

0 Yunze Tong, et al. ∙

research

∙ 05/25/2023

FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients

Federated Learning (FL) is a distributed learning paradigm that empowers...

0 Min Zhang, et al. ∙

research

∙ 05/24/2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining

Token dropping is a recently-proposed strategy to speed up the pretraini...

0 Qihuang Zhong, et al. ∙

research

∙ 05/22/2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination

As ChatGPT and GPT-4 spearhead the development of Large Language Models ...

0 Dongfang Li, et al. ∙

research

∙ 05/22/2023

CopyNE: Better Contextual ASR by Copying Named Entities

Recent years have seen remarkable progress in automatic speech recogniti...

0 Shilin Zhou, et al. ∙

research

∙ 05/21/2023

A Pilot Study on Dialogue-Level Dependency Parsing for Chinese

Dialogue-level dependency parsing has received insufficient attention, e...

0 Gongyao Jiang, et al. ∙

research

∙ 05/20/2023

Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction

Latest efforts on cross-lingual relation extraction (XRE) aggressively l...

0 Hao Fei, et al. ∙

research

∙ 05/20/2023

Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination

In this work, we investigate a more realistic unsupervised multimodal ma...

0 Hao Fei, et al. ∙

research

∙ 05/19/2023

Generating Visual Spatial Description via Holistic 3D Scene Understanding

Visual spatial description (VSD) aims to generate texts that describe th...

0 Yu Zhao, et al. ∙

research

∙ 05/08/2023

Toward Adversarial Training on Contextualized Language Representation

Beyond the success story of adversarial training (AT) in the recent text...

0 Hongqiu Wu, et al. ∙

research

∙ 05/08/2023

A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues

Conditional inference on joint textual and visual clues is a multi-modal...

0 Yunxin Li, et al. ∙

research

∙ 05/08/2023

Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!

Diffusion models have been successfully adapted to text generation tasks...

0 Zecheng Tang, et al. ∙

research

∙ 05/05/2023

LMEye: An Interactive Perception Network for Large Language Models

Training a Large Visual Language Model (LVLM) from scratch, like GPT-4, ...

0 Yunxin Li, et al. ∙

research

∙ 05/03/2023

A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text

Pretrained Vision-Language Models (VLMs) have achieved remarkable perfor...

0 Yunxin Li, et al. ∙

research

∙ 04/25/2023

Test-Time Adaptation with Perturbation Consistency Learning

Currently, pre-trained language models (PLMs) do not cope well with the ...

0 Yi Su, et al. ∙

research

∙ 04/15/2023

Intent-aware Ranking Ensemble for Personalized Recommendation

Ranking ensemble is a critical component in real recommender systems. Wh...

0 Jiayu Li, et al. ∙

research

∙ 04/13/2023

LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model

Universally modeling all typical information extraction tasks (UIE) with...

0 Hao Fei, et al. ∙

research

∙ 03/24/2023

Towards Making the Most of ChatGPT for Machine Translation

ChatGPT shows remarkable capabilities for machine translation (MT). Seve...

0 Keqin Peng, et al. ∙

research

∙ 03/21/2023

Boosting Verified Training for Robust Image Classifications via Abstraction

This paper proposes a novel, abstraction-based, certified training metho...

0 Zhaodi Zhang, et al. ∙

research

∙ 03/20/2023

Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning

Neural machine translation (NMT) has achieved remarkable success in prod...

0 Rongxiang Weng, et al. ∙

research

∙ 03/20/2023

A Tiny Machine Learning Model for Point Cloud Object Classification

The design of a tiny machine learning model, which can be deployed in mo...

0 Min Zhang, et al. ∙

research

∙ 03/14/2023

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening

Under the flourishing development in performance, current image-text ret...

0 Min Cao, et al. ∙

research

∙ 03/14/2023

RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer

Non-autoregressive neural machine translation (NAT) models are proposed ...

0 Pei Guo, et al. ∙

research

∙ 03/13/2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model

Transformer-based autoregressive (AR) methods have achieved appealing pe...

0 Yisheng Xiao, et al. ∙

research

∙ 03/12/2023

RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning

Gradient-based meta-learning (GBML) algorithms are able to fast adapt to...

0 Min Zhang, et al. ∙

research

∙ 03/12/2023

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation

Non-autoregressive translation (NAT) reduces the decoding latency but su...

0 Zhengrui Ma, et al. ∙

research

∙ 03/02/2023

The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting

Knowing the learning dynamics of policy is significant to unveiling the ...

0 Hongyao Tang, et al. ∙

research

∙ 02/22/2023

S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification

Many point cloud classification methods are developed under the assumpti...

0 Pranav Kadam, et al. ∙

Min Zhang

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