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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...
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07/24/2023
GridMM: Grid Memory Map for Vision-and-Language Navigation
Vision-and-language navigation (VLN) enables the agent to navigate to a ...
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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...
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06/08/2023
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Although Large Language Models (LLMs) have demonstrated extraordinary ca...
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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...
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05/25/2023
Deep Neural Networks in Video Human Action Recognition: A Review
Currently, video behavior recognition is one of the most foundational ta...
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05/24/2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
We introduce ClusterLLM, a novel text clustering framework that leverage...
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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...
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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...
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05/21/2023
WOT-Class: Weakly Supervised Open-world Text Classification
State-of-the-art weakly supervised text classification methods, while si...
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05/17/2023
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
Recent work on knowledge graph completion (KGC) focused on learning embe...
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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...
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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...
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03/14/2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
Masked Autoencoders learn strong visual representations and achieve stat...
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02/13/2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Reinforcement learning algorithms typically struggle in the absence of a...
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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...
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12/07/2022
Reconstructing Training Data from Model Gradient, Provably
Understanding when and how much a model gradient leaks information about...
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10/31/2022
Multilingual Speech Emotion Recognition With Multi-Gating Mechanism and Neural Architecture Search
Speech emotion recognition (SER) classifies audio into emotion categorie...
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10/05/2022
GLM-130B: An Open Bilingual Pre-trained Model
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained lan...
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10/05/2022
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform
We propose Waveformer that learns attention mechanism in the wavelet coe...
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09/16/2022
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations
Multimodal demonstrations provide robots with an abundance of informatio...
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06/25/2022
CV 3315 Is All You Need : Semantic Segmentation Competition
This competition focus on Urban-Sense Segmentation based on the vehicle ...
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06/24/2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Learned recommender systems may inadvertently leak information about the...
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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...
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05/28/2022
Rethinking the Setting of Semi-supervised Learning on Graphs
We argue that the present setting of semisupervised learning on graphs m...
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05/24/2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification
Existing backdoor defense methods are only effective for limited trigger...
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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...
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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 ...
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04/28/2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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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...
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03/02/2022
Weakly Supervised Correspondence Learning
Correspondence learning is a fundamental problem in robotics, which aims...
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02/07/2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
Existing learning from demonstration algorithms usually assume access to...
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11/09/2021
An Interactive Visualization Tool for Understanding Active Learning
Despite recent progress in artificial intelligence and machine learning,...
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09/16/2021
Membership Inference Attacks Against Recommender Systems
Recently, recommender systems have achieved promising performances and b...
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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...
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05/28/2021
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
Identifying and understanding quality phrases from context is a fundamen...
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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...
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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...
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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...
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10/24/2020
X-Class: Text Classification with Extremely Weak Supervision
In this paper, we explore to conduct text classification with extremely ...
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09/10/2020
Emora: An Inquisitive Social Chatbot Who Cares For You
Inspired by studies on the overwhelming presence of experience-sharing i...
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04/28/2020
Extending Multilingual BERT to Low-Resource Languages
Multilingual BERT (M-BERT) has been a huge success in both supervised an...
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12/17/2019
Cross-Lingual Ability of Multilingual BERT: An Empirical Study
Recent work has exhibited the surprising cross-lingual abilities of mult...
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09/03/2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Everyone makes mistakes. So do human annotators when curating labels for...
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08/20/2019
CatE: Category-Name GuidedWord Embedding
Unsupervised word embedding has benefited a wide spectrum of NLP tasks d...
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08/14/2019
Raw-to-End Name Entity Recognition in Social Media
Taking word sequences as the input, typical named entity recognition (NE...
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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...
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10/11/2018