b'Zihan Wang'

research

∙ 09/19/2023

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

To solve complex tasks, large language models (LLMs) often require multi...

0 Xingyao Wang, et al. ∙

research

∙ 07/24/2023

GridMM: Grid Memory Map for Vision-and-Language Navigation

Vision-and-language navigation (VLN) enables the agent to navigate to a ...

0 Zihan Wang, et al. ∙

research

∙ 07/20/2023

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

Exploration and reward specification are fundamental and intertwined cha...

0 Marcel Torne, et al. ∙

research

∙ 06/08/2023

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Although Large Language Models (LLMs) have demonstrated extraordinary ca...

0 Jiongnan Liu, et al. ∙

research

∙ 05/25/2023

Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank

The L_2-regularized loss of Deep Linear Networks (DLNs) with more than o...

0 Zihan Wang, et al. ∙

research

∙ 05/25/2023

Deep Neural Networks in Video Human Action Recognition: A Review

Currently, video behavior recognition is one of the most foundational ta...

0 Zihan Wang, et al. ∙

research

∙ 05/24/2023

ClusterLLM: Large Language Models as a Guide for Text Clustering

We introduce ClusterLLM, a novel text clustering framework that leverage...

0 Yuwei Zhang, et al. ∙

research

∙ 05/24/2023

Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification

Recent advances in weakly supervised text classification mostly focus on...

0 Chengyu Dong, et al. ∙

research

∙ 05/22/2023

A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches

Etremely Weakly Supervised Text Classification (XWS-TC) refers to text c...

0 Zihan Wang, et al. ∙

research

∙ 05/21/2023

WOT-Class: Weakly Supervised Open-world Text Classification

State-of-the-art weakly supervised text classification methods, while si...

0 Tianle Wang, et al. ∙

research

∙ 05/17/2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations

Recent work on knowledge graph completion (KGC) focused on learning embe...

0 Zihan Wang, et al. ∙

research

∙ 03/28/2023

KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation

Vision-and-language navigation (VLN) is the task to enable an embodied a...

0 Xiangyang Li, et al. ∙

research

∙ 03/19/2023

Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection

This paper presents our Facial Action Units (AUs) recognition submission...

0 Zihan Wang, et al. ∙

research

∙ 03/14/2023

PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection

Masked Autoencoders learn strong visual representations and achieve stat...

0 Anthony Chen, et al. ∙

research

∙ 02/13/2023

Guiding Pretraining in Reinforcement Learning with Large Language Models

Reinforcement learning algorithms typically struggle in the absence of a...

0 Yuqing Du, et al. ∙

research

∙ 12/21/2022

Esports Data-to-commentary Generation on Large-scale Data-to-text Dataset

Esports, a sports competition using video games, has become one of the m...

0 Zihan Wang, et al. ∙

research

∙ 12/07/2022

Reconstructing Training Data from Model Gradient, Provably

Understanding when and how much a model gradient leaks information about...

0 Zihan Wang, et al. ∙

research

∙ 10/31/2022

Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search

Speech emotion recognition (SER) classifies audio into emotion categorie...

0 Zihan Wang, et al. ∙

research

∙ 10/05/2022

GLM-130B: An Open Bilingual Pre-trained Model

We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...

8 Aohan Zeng, et al. ∙

research

∙ 10/05/2022

Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform

We propose Waveformer that learns attention mechanism in the wavelet coe...

25 Yufan Zhuang, et al. ∙

research

∙ 09/16/2022

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations

Multimodal demonstrations provide robots with an abundance of informatio...

6 Yilun Hao, et al. ∙

research

∙ 06/25/2022

CV 3315 Is All You Need : Semantic Segmentation Competition

This competition focus on Urban-Sense Segmentation based on the vehicle ...

23 Akide Liu, et al. ∙

research

∙ 06/24/2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems

Learned recommender systems may inadvertently leak information about the...

10 Zihan Wang, et al. ∙

research

∙ 06/04/2022

SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space

We propose a method SPGNet for 3D human pose estimation that mixes multi...

15 Zihan Wang, et al. ∙

research

∙ 05/28/2022

Rethinking the Setting of Semi-supervised Learning on Graphs

We argue that the present setting of semisupervised learning on graphs m...

6 Ziang Li, et al. ∙

research

∙ 05/24/2022

WeDef: Weakly Supervised Backdoor Defense for Text Classification

Existing backdoor defense methods are only effective for limited trigger...

1 Lesheng Jin, et al. ∙

research

∙ 05/24/2022

Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition

Fine-tuning pre-trained language models has recently become a common pra...

4 Zihan Wang, et al. ∙

research

∙ 05/20/2022

Beyond the Granularity: Multi-Perspective Dialogue Collaborative Selection for Dialogue State Tracking

In dialogue state tracking, dialogue history is a crucial material, and ...

6 Jinyu Guo, et al. ∙

research

∙ 04/28/2022

HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification

Hierarchical text classification (HTC) is a challenging subtask of multi...

7 Zihan Wang, et al. ∙

research

∙ 03/08/2022

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

Hierarchical text classification is a challenging subtask of multi-label...

3 Zihan Wang, et al. ∙

research

∙ 03/02/2022

Weakly Supervised Correspondence Learning

Correspondence learning is a fundamental problem in robotics, which aims...

20 Zihan Wang, et al. ∙

research

∙ 02/07/2022

Learning from Imperfect Demonstrations via Adversarial Confidence Transfer

Existing learning from demonstration algorithms usually assume access to...

2 Zhangjie Cao, et al. ∙

research

∙ 11/09/2021

An Interactive Visualization Tool for Understanding Active Learning

Despite recent progress in artificial intelligence and machine learning,...

0 Zihan Wang, et al. ∙

research

∙ 09/16/2021

Membership Inference Attacks Against Recommender Systems

Recently, recommender systems have achieved promising performances and b...

18 Minxing Zhang, et al. ∙

research

∙ 07/27/2021

Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking

The goal of dialogue state tracking (DST) is to predict the current dial...

0 Jinyu Guo, et al. ∙

research

∙ 05/28/2021

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging

Identifying and understanding quality phrases from context is a fundamen...

0 Xiaotao Gu, et al. ∙

research

∙ 05/13/2021

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network

Contract element extraction (CEE) is the novel task of automatically ide...

5 Zihan Wang, et al. ∙

research

∙ 04/22/2021

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

Click-Through Rate (CTR) prediction is a core task in nowadays commercia...

6 Runlong Yu, et al. ∙

research

∙ 04/18/2021

"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models

Contextualized representations based on neural language models have furt...

0 Zihan Wang, et al. ∙

research

∙ 10/24/2020

X-Class: Text Classification with Extremely Weak Supervision

In this paper, we explore to conduct text classification with extremely ...

0 Zihan Wang, et al. ∙

research

∙ 09/10/2020

Emora: An Inquisitive Social Chatbot Who Cares For You

Inspired by studies on the overwhelming presence of experience-sharing i...

3 Sarah E. Finch, et al. ∙

research

∙ 04/28/2020

Extending Multilingual BERT to Low-Resource Languages

Multilingual BERT (M-BERT) has been a huge success in both supervised an...

0 Zihan Wang, et al. ∙

research

∙ 12/17/2019

Cross-Lingual Ability of Multilingual BERT: An Empirical Study

Recent work has exhibited the surprising cross-lingual abilities of mult...

10 Karthikeyan K, et al. ∙

research

∙ 09/03/2019

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

Everyone makes mistakes. So do human annotators when curating labels for...

0 Zihan Wang, et al. ∙

research

∙ 08/20/2019

CatE: Category-Name GuidedWord Embedding

Unsupervised word embedding has benefited a wide spectrum of NLP tasks d...

0 Yu Meng, et al. ∙

research

∙ 08/14/2019

Raw-to-End Name Entity Recognition in Social Media

Taking word sequences as the input, typical named entity recognition (NE...

0 Liyuan Liu, et al. ∙

research

∙ 05/11/2019

ECG Identification under Exercise and Rest Situations via Various Learning Methods

As the advancement of information security, human recognition as its cor...

0 Zihan Wang, et al. ∙

research

∙ 10/11/2018

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies

Learning effective visuomotor policies for robots purely from data is ch...

8 Homanga Bharadhwaj, et al. ∙

Zihan Wang

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