Cover Image

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sharma, Anika, Niu, Tianyi, Wrenn, Emma, Srivastava, Shashank
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence I.2.7; I.2.6; J.5; I.5.1; I.5.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Listwise Direct Preference Optimization with Multi-Dimensional Preference Mixing
by: Sun, Yuhui, et al.
Published: (2025)

Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
by: Gonzalez, Alberto Andres Valdes
Published: (2026)

Computational Economics in Large Language Models: Exploring Model Behavior and Incentive Design under Resource Constraints
by: Reddy, Sandeep, et al.
Published: (2025)

Classification of descriptions and summary using multiple passes of statistical and natural language toolkits
by: Banthia, Saumya, et al.
Published: (2020)

When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD
by: Mandal, Paul K.
Published: (2025)

Sample-Efficient Language Model for Hinglish Conversational AI
by: Singh, Sakshi, et al.
Published: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
by: Rasmussen, Nicholas R., et al.
Published: (2026)

Regularisation in neural networks: a survey and empirical analysis of approaches
by: Opperman, Christiaan P., et al.
Published: (2026)

Efficient Strategy for Improving Large Language Model (LLM) Capabilities
by: Gutiérrez, Julián Camilo Velandia
Published: (2025)

Less is More: Learning Graph Tasks with Just LLMs
by: Shirai, Sola, et al.
Published: (2025)

Beyond Subtokens: A Rich Character Embedding for Low-resource and Morphologically Complex Languages
by: Schneider, Felix, et al.
Published: (2026)

LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
by: Bachar, Or, et al.
Published: (2026)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)

Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
by: Sutton, Matthew, et al.
Published: (2026)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)

QoSGMAA: A Robust Multi-Order Graph Attention and Adversarial Framework for Sparse QoS Prediction
by: Du, Guanchen, et al.
Published: (2025)

A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
by: Dhole, Kaustubh D.
Published: (2025)

The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models
by: Wu, Shuai, et al.
Published: (2026)

Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process
by: Reza, Mohi, et al.
Published: (2025)

A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
by: Kunte, Deepti, et al.
Published: (2025)

A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
by: Borah, Parashjyoti, et al.
Published: (2026)

Continuous Latent Contexts Enable Efficient Online Learning in Transformers
by: Anand, Emile, et al.
Published: (2026)

A Comparative Study of Feature Selection in Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2025)

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models
by: Yocam, Eric, et al.
Published: (2026)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
by: Chien, Sheng-You, et al.
Published: (2026)

Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
by: Zolduoarrati, Elijah, et al.
Published: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)

Before the Last Token: Diagnosing Final-Token Safety Probe Failures
by: Doda, Shravan
Published: (2026)

Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
by: DiGiugno, Andrew, et al.
Published: (2025)

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
by: Kajare, Prajwal Vijay, et al.
Published: (2026)

propella-1: Multi-Property Document Annotation for LLM Data Curation at Scale
by: Idahl, Maximilian, et al.
Published: (2026)

Emotion-Attended Stateful Memory (EASM):The Architecture for Hyper-Personalization at Scale
by: Kotecha, Vineet, et al.
Published: (2026)

Reflective Verbal Reward Design for Pluralistic Alignment
by: Blair, Carter, et al.
Published: (2025)

Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization
by: Wen, Yuqiao, et al.
Published: (2025)

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
by: Wen, Yuqiao, et al.
Published: (2024)

VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
by: Daneshvar, Seyed Shayan, et al.
Published: (2024)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
by: Semenov, Andrei, et al.
Published: (2024)

Let Your Graph Do the Talking: Encoding Structured Data for LLMs
by: Perozzi, Bryan, et al.
Published: (2024)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)

Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
by: de Zuazo, Xabier, et al.
Published: (2025)