:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Nikolaev, Dmitry, Grotenhuis, Jorke, Harel, Haleli, Goldwasser, Orly
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2407.00475
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Strategies for political-statement segmentation and labelling in unstructured text
por: Nikolaev, Dmitry, et al.
Publicado: (2025)

Protecting Privacy in Classifiers by Token Manipulation
por: Harel, Re'em, et al.
Publicado: (2024)

Neural Style Transfer for Synthesising a Dataset of Ancient Egyptian Hieroglyphs
por: Creed, Lewis Matheson
Publicado: (2025)

Semantic Alignment across Ancient Egyptian Language Stages via Normalization-Aware Multitask Learning
por: Huang, He
Publicado: (2026)

Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
por: Mehta, Nikhil, et al.
Publicado: (2024)

"Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms
por: Wu, Chengfei, et al.
Publicado: (2024)

SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs
por: Lee, Younghun, et al.
Publicado: (2025)

ConceptCarve: Dynamic Realization of Evidence
por: Caplan, Eylon, et al.
Publicado: (2025)

An Interactive Framework for Profiling News Media Sources
por: Mehta, Nikhil, et al.
Publicado: (2023)

Your Extreme Multi-label Classifier is Secretly a Hierarchical Text Classifier for Free
por: Bertalis, Nerijus, et al.
Publicado: (2024)

Low-resource speech recognition and dialect identification of Irish in a multi-task framework
por: Lonergan, Liam, et al.
Publicado: (2024)

LLM-Human Pipeline for Cultural Context Grounding of Conversations
por: Pujari, Rajkumar, et al.
Publicado: (2024)

EmoGist: Efficient In-Context Learning for Visual Emotion Understanding
por: Seoh, Ronald, et al.
Publicado: (2025)

Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
por: Islam, Tunazzina, et al.
Publicado: (2024)

Approximate Attributions for Off-the-Shelf Siamese Transformers
por: Möller, Lucas, et al.
Publicado: (2024)

CoLa: Learning to Interactively Collaborate with Large Language Models
por: Sharma, Abhishek, et al.
Publicado: (2025)

"We Demand Justice!": Towards Social Context Grounding of Political Texts
por: Pujari, Rajkumar, et al.
Publicado: (2023)

Selective Attention Merging for low resource tasks: A case study of Child ASR
por: Shankar, Natarajan Balaji, et al.
Publicado: (2025)

Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media
por: Islam, Tunazzina, et al.
Publicado: (2025)

Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs
por: Islam, Tunazzina, et al.
Publicado: (2024)

Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
por: Islam, Tunazzina, et al.
Publicado: (2024)

Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models
por: Lee, Younghun, et al.
Publicado: (2024)

DALLMi: Domain Adaption for LLM-based Multi-label Classifier
por: Beţianu, Miruna, et al.
Publicado: (2024)

Splits! Flexible Sociocultural Linguistic Investigation at Scale
por: Caplan, Eylon, et al.
Publicado: (2025)

Comparing representations of long clinical texts for the task of patient note-identification
por: Alsaidi, Safa, et al.
Publicado: (2025)

What Is The Political Content in LLMs' Pre- and Post-Training Data?
por: Ceron, Tanise, et al.
Publicado: (2025)

Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
por: Ceron, Tanise, et al.
Publicado: (2024)

TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
por: Nakshatri, Nishanth Sridhar, et al.
Publicado: (2026)

Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM
por: Lee, Younghun, et al.
Publicado: (2026)

SLAM: Structural Linguistic Activation Marking for Language Models
por: Harel-Canada, Fabrice, et al.
Publicado: (2026)

XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
por: Luo, Yun, et al.
Publicado: (2023)

High-Fidelity Pseudo-label Generation by Large Language Models for Training Robust Radiology Report Classifiers
por: Wong, Brian, et al.
Publicado: (2025)

"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use
por: Sapkota, Shardul, et al.
Publicado: (2026)

Translation Entropy: A Statistical Framework for Evaluating Translation Systems
por: Gross, Ronit D., et al.
Publicado: (2025)

Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language
por: Shalumov, Vitaly, et al.
Publicado: (2024)

Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
por: Pacheco, Maria Leonor, et al.
Publicado: (2023)

Phonetically rich corpus construction for a low-resourced language
por: Amadeus, Marcellus, et al.
Publicado: (2024)

Token-Level Privacy in Large Language Models
por: Harel, Re'em, et al.
Publicado: (2025)

CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation
por: Walker, Drew, et al.
Publicado: (2024)

IndicParam: Benchmark to evaluate LLMs on low-resource Indic Languages
por: Maheshwari, Ayush, et al.
Publicado: (2025)