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Showing 1–25 of 1146 papers

TitleStatusHype
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops—0
Hybrid Meta-learners for Estimating Heterogeneous Treatment EffectsCode0
Private MEV Protection RPCs: Benchmark Stud—0
FiLLM -- A Filipino-optimized Large Language Model based on Southeast Asia Large Language Model (SEALLM)—0
The taggedPBC: Annotating a massive parallel corpus for crosslinguistic investigationsCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Panoramic Out-of-Distribution SegmentationCode1
Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning—0
Proof of Useful Intelligence (PoUI): Blockchain Consensus Beyond Energy Waste—0
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS TaggingCode0
Achieving Unanimous Consensus in Decision Making Using Multi-Agents—0
A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950—0
Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging—0
DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models—0
Statistical Analysis of Sentence Structures through ASCII, Lexical Alignment and PCA—0
Comparative Study of Zero-Shot Cross-Lingual Transfer for Bodo POS and NER Tagging Using Gemini 2.0 Flash Thinking Experimental Model—0
Who Taught You That? Tracing Teachers in Model Distillation—0
Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Experimental Setups Matter—0
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions—0
BBPOS: BERT-based Part-of-Speech Tagging for Uzbek—0
BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context—0
Part-Of-Speech Sensitivity of Routers in Mixture of Experts Models—0
Frequency Is What You Need: Word-frequency Masking Benefits Vision-Language Model Pre-trainingCode0
π-yalli: un nouveau corpus pour le nahuatl—0
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers—0
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