Papers POS
“POS” 태그가 달린 논문 1,146편 · 필터 해제
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Multimodal Large Language Models (MLLMs) have shown great promise but require substantial computational resources during inference. Attackers can exploit this by inducing excessive output, leading to resource exhaustion …
POSTAGHybrid Meta-learners for Estimating Heterogeneous Treatment Effects
Estimating conditional average treatment effects (CATE) from observational data involves modeling decisions that differ from supervised learning, particularly concerning how to regularize model complexity. Previous appro…
POSPrivate MEV Protection RPCs: Benchmark Stud
Decentralized Finance (DeFi) on Ethereum has undergone significant transformations since its emergence during the DeFi summer of 2020. With the introduction of Proof of Stake (PoS) and Proposer-Builder Separation (PBS), …
POSFiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)
This study presents FiLLM, a Filipino-optimized large language model, designed to enhance natural language processing (NLP) capabilities in the Filipino language. Built upon the SeaLLM-7B 2.5 model, FiLLM leverages Low-R…
Dependency ParsingLanguage ModelingLanguage ModellingLarge Language Model+9The taggedPBC: Annotating a massive parallel corpus for crosslinguistic investigations
Existing datasets available for crosslinguistic investigations have tended to focus on large amounts of data for a small group of languages or a small amount of data for a large number of languages. This means that claim…
POSA Comparative Analysis of Static Word Embeddings for Hungarian
This paper presents a comprehensive analysis of various static word embeddings for Hungarian, including traditional models such as Word2Vec, FastText, as well as static embeddings derived from BERT-based models using dif…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+4Panoramic Out-of-Distribution Segmentation
Panoramic imaging enables capturing 360{\deg} images with an ultra-wide Field-of-View (FoV) for dense omnidirectional perception. However, current panoramic semantic segmentation methods fail to identify outliers, and pi…
DisentanglementDomain GeneralizationPOSSegmentation+1Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning
Health Mention Classification (HMC) plays a critical role in leveraging social media posts for real-time tracking and public health monitoring. Nevertheless, the process of HMC presents significant challenges due to its …
DescriptivePOSProof of Useful Intelligence (PoUI): Blockchain Consensus Beyond Energy Waste
Blockchain technology enables secure, transparent data management in decentralized systems, supporting applications from cryptocurrencies like Bitcoin to tokenizing real-world assets like property. Its scalability and su…
ManagementPOSmyNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging
Named Entity Recognition (NER) involves identifying and categorizing named entities within textual data. Despite its significance, NER research has often overlooked low-resource languages like Myanmar (Burmese), primaril…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+5Achieving Unanimous Consensus in Decision Making Using Multi-Agents
Blockchain consensus mechanisms have relied on algorithms such as Proof-of-Work (PoW) and Proof-of-Stake (PoS) to ensure network functionality and integrity. However, these approaches struggle with adaptability for decis…
Decision MakingPOSUntangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging
Cross-lingual transfer learning is an invaluable tool for overcoming data scarcity, yet selecting a suitable transfer language remains a challenge. The precise roles of linguistic typology, training data, and model archi…
Cross-Lingual POS TaggingCross-Lingual TransferPart-Of-Speech TaggingPOS+2A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950
This paper compares large language models (LLMs) and traditional natural language processing (NLP) tools for performing word segmentation, part-of-speech (POS) tagging, and named entity recognition (NER) on Chinese texts…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+3DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models
Image-conditioned generation methods, such as depth- and canny-conditioned approaches, have demonstrated remarkable abilities for precise image synthesis. However, existing models still struggle to accurately control the…
AttributeImage GenerationPOSStatistical Analysis of Sentence Structures through ASCII, Lexical Alignment and PCA
While utilizing syntactic tools such as parts-of-speech (POS) tagging has helped us understand sentence structures and their distribution across diverse corpora, it is quite complex and poses a challenge in natural langu…
POSPOS TaggingSentenceComparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model
Named Entity Recognition (NER) and Part-of-Speech (POS) tagging are critical tasks for Natural Language Processing (NLP), yet their availability for low-resource languages (LRLs) like Bodo remains limited. This article p…
Cross-Lingual TransferMachine Translationnamed-entity-recognitionNamed Entity Recognition+8Who Taught You That? Tracing Teachers in Model Distillation
Model distillation -- using outputs from a large teacher model to teach a small student model -- is a practical means of creating efficient models for a particular task. We ask: Can we identify a students' teacher based …
Instruction FollowingPOSQuestion AnsweringAnalyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter
Cross-lingual transfer is a popular approach to increase the amount of training data for NLP tasks in a low-resource context. However, the best strategy to decide which cross-lingual data to include is unclear. Prior res…
Cross-Lingual TransferDependency ParsingPOSPOS Tagging+1BBPOS: BERT-based Part-of-Speech Tagging for Uzbek
This paper advances NLP research for the low-resource Uzbek language by evaluating two previously untested monolingual Uzbek BERT models on the part-of-speech (POS) tagging task and introducing the first publicly availab…
Part-Of-Speech TaggingPOSPOS TaggingSensitivityAuthor-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
Deep learning methods have been increasingly applied to computational linguistics to uncover patterns in text data. This study investigates author-specific word class distributions using part-of-speech (POS) tagging and …
Author ProfilingPart-Of-Speech TaggingPOSPOS Tagging+1