Papers Task 2
“Task 2” 태그가 달린 논문 572편 · 필터 해제
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model
In this paper, we propose a solution that won the 10th prize in the KDD Cup 2023 Challenge Task 2 (Next Product Recommendation for Underrepresented Languages/Locales). Our approach involves two steps: (i) Identify candid…
Product RecommendationRecommendation SystemsRe-RankingTask 2A Comparative Study of Voice Conversion Models with Large-Scale Speech and Singing Data: The T13 Systems for the Singing Voice Conversion Challenge 2023
This paper presents our systems (denoted as T13) for the singing voice conversion challenge (SVCC) 2023. For both in-domain and cross-domain English singing voice conversion (SVC) tasks (Task 1 and Task 2), we adopt a re…
Self-Supervised LearningTask 2Voice ConversionProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks
Key value pair (KVP) extraction or Named Entity Recognition(NER) from visually rich documents has been an active area of research in document understanding and data extraction domain. Several transformer based models suc…
document understandingIncremental Learningnamed-entity-recognitionNamed Entity Recognition+4Keeping in Time: Adding Temporal Context to Sentiment Analysis Models
This paper presents a state-of-the-art solution to the LongEval CLEF 2023 Lab Task 2: LongEval-Classification. The goal of this task is to improve and preserve the performance of sentiment analysis models across shorter …
Language ModelingLanguage ModellingSentiment AnalysisTask 2Precision in Building Extraction: Comparing Shallow and Deep Models using LiDAR Data
Building segmentation is essential in infrastructure development, population management, and geological observations. This article targets shallow models due to their interpretable nature to assess the presence of LiDAR …
Deep LearningManagementTask 2Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task
We present the joint contribution of Unbabel and Instituto Superior T\'ecnico to the WMT 2023 Shared Task on Quality Estimation (QE). Our team participated on all tasks: sentence- and word-level quality prediction (task …
AllSentenceTask 2POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation
NASA's POLAR dataset contains approximately 2,600 pairs of high dynamic range stereo photos captured across 13 varied terrain scenarios, including areas with sparse or dense rock distributions, craters, and rocks of diff…
Autonomous NavigationSemantic SegmentationTask 2PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Dominant Person Search methods aim to localize and recognize query persons in a unified network, which jointly optimizes two sub-tasks, \ie, pedestrian detection and Re-IDentification (ReID). Despite significant progress…
DenoisingPedestrian DetectionPerson SearchTask 2Hierarchical Metadata Information Constrained Self-Supervised Learning for Anomalous Sound Detection Under Domain Shift
Self-supervised learning methods have achieved promising performance for anomalous sound detection (ASD) under domain shift, where the type of domain shift is considered in feature learning by incorporating section IDs. …
AttributeSelf-Supervised LearningTask 2Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles
The wide-spread use of social networks has given rise to subjective, misleading, and even false information on the Internet. Thus, subjectivity detection can play an important role in ensuring the objectiveness and the q…
ArticlesDimensionality ReductionFew-Shot LearningSentence+2UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media
As social media becomes increasingly popular, more and more activities related to public health emerge. Current techniques for public health analysis involve popular models such as BERT and large language models (LLMs). …
Data AugmentationTask 2DTrOCR: Decoder-only Transformer for Optical Character Recognition
Typical text recognition methods rely on an encoder-decoder structure, in which the encoder extracts features from an image, and the decoder produces recognized text from these features. In this study, we propose a simpl…
DecoderHandwritten Text RecognitionLanguage ModelingLanguage Modelling+4AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime
With the increasing influence of social media platforms, it has become crucial to develop automated systems capable of detecting instances of sexism and other disrespectful and hateful behaviors to promote a more inclusi…
Task 2TBGC: Task-level Backbone-Oriented Gradient Clip for Multi-Task Foundation Model Learning
The AllInOne training paradigm squeezes a wide range of tasks into a unified model in a multi-task learning manner. However, optimization in multi-task learning is more challenge than single-task learning, as the gradien…
Data AugmentationMulti-Task LearningTask 2Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data
Manually annotating fine-grained slot-value labels for task-oriented dialogue (ToD) systems is an expensive and time-consuming endeavour. This motivates research into slot-filling methods that operate with limited amount…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)slot-fillingSlot Filling+6OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
In recent years, the integration of Large Language Models (LLMs) into recommender systems has garnered interest among both practitioners and researchers. Despite this interest, the field is still emerging, and the lack o…
BenchmarkingDecoderRecommendation SystemsSequential Recommendation+1Clickbait Classification and Spoiling Using Natural Language Processing
Clickbait is the practice of engineering titles to incentivize readers to click through to articles. Such titles with sensationalized language reveal as little information as possible. Occasionally, clickbait will be int…
ArticlesClassificationLanguage ModellingLarge Language Model+2MERLIon CCS Challenge Evaluation Plan
This paper introduces the inaugural Multilingual Everyday Recordings- Language Identification on Code-Switched Child-Directed Speech (MERLIon CCS) Challenge, focused on developing robust language identification and langu…
Language IdentificationTask 2Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
Language models have been shown to exhibit positive scaling, where performance improves as models are scaled up in terms of size, compute, or data. In this work, we introduce NeQA, a dataset consisting of questions with …
NegationQuestion AnsweringTask 2MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting
Large language models (LLMs) have achieved impressive performance on various reasoning tasks. To further improve the performance, we propose MultiTool-CoT, a novel framework that leverages chain-of-thought (CoT) promptin…
Task 2