Imagen de Portada

Cheap Learning: Maximising Performance of Language Models for Social Data Science Using Minimal Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Castro-Gonzalez, Leonardo, Chung, Yi-Ling, Kirk, Hannak Rose, Francis, John, Williams, Angus R., Johansson, Pica, Bright, Jonathan
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language I.2.7; J.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data
por: Khanal, Nabin, et al.
Publicado: (2024)

Socially Responsible Data for Large Multilingual Language Models
por: Smart, Andrew, et al.
Publicado: (2024)

Synthia: Scalable Grounded Persona Generation from Social Media Data
por: Rahimzadeh, Vahid, et al.
Publicado: (2025)

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
por: Yao, Yiheng, et al.
Publicado: (2026)

Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
por: Stacey, Joe, et al.
Publicado: (2025)

Only Whats Necessary: Pareto Optimal Data Minimization for Privacy Preserving Video Anomaly Detection
por: Aslam, Nazia, et al.
Publicado: (2026)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
por: Ashuach, Tomer, et al.
Publicado: (2025)

Random Heterogeneous Neurochaos Learning Architecture for Data Classification
por: S, Remya Ajai A, et al.
Publicado: (2024)

Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents
por: Kim, San, et al.
Publicado: (2024)

Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data
por: Bouthors, Maxime, et al.
Publicado: (2025)

Synthetic Voice Data for Automatic Speech Recognition in African Languages
por: DeRenzi, Brian, et al.
Publicado: (2025)

Curating Grounded Synthetic Data with Global Perspectives for Equitable AI
por: Törnquist, Elin, et al.
Publicado: (2024)

Applying Cognitive Design Patterns to General LLM Agents
por: Wray, Robert E., et al.
Publicado: (2025)

Disclosure By Design: Identity Transparency as a Behavioural Property of Conversational AI Models
por: Gausen, Anna, et al.
Publicado: (2026)

PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data
por: Xiong, Kai, et al.
Publicado: (2025)

"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims
por: Fu, Yu, et al.
Publicado: (2024)

SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition
por: Cheng, Song, et al.
Publicado: (2025)

Select or Project? Evaluating Lower-dimensional Vectors for LLM Training Data Explanations
por: Hinterleitner, Lukas, et al.
Publicado: (2026)

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning
por: Zou, Run, et al.
Publicado: (2026)

Vocabulary Transfer for Biomedical Texts: Add Tokens if You Can Not Add Data
por: Singh, Priyanka, et al.
Publicado: (2022)

LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation
por: Lai, Junyu, et al.
Publicado: (2025)

SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification
por: Kang, Migyeong, et al.
Publicado: (2026)

German Text Simplification: Finetuning Large Language Models with Semi-Synthetic Data
por: Klöser, Lars, et al.
Publicado: (2024)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
por: Saji, Alan, et al.
Publicado: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
por: Peters, Sydney, et al.
Publicado: (2025)

Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation
por: Zhou, Yue, et al.
Publicado: (2025)

EvilGenie: A Reward Hacking Benchmark
por: Gabor, Jonathan, et al.
Publicado: (2025)

LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data
por: Wang, Changsheng, et al.
Publicado: (2025)

The Effect of Data Partitioning Strategy on Model Generalizability: A Case Study of Morphological Segmentation
por: Liu, Zoey, et al.
Publicado: (2024)

Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data
por: Lajčinová, Bibiána, et al.
Publicado: (2024)

Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
por: Lübbers, Christopher Lee
Publicado: (2025)

Survey Transfer Learning: Recycling Data with Silicon Responses
por: Amini, Ali
Publicado: (2025)

VertAttack: Taking advantage of Text Classifiers' horizontal vision
por: Rusert, Jonathan
Publicado: (2024)

RedHerring Attack: Testing the Reliability of Attack Detection
por: Rusert, Jonathan
Publicado: (2025)

XferBench: a Data-Driven Benchmark for Emergent Language
por: Boldt, Brendon, et al.
Publicado: (2024)

Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data
por: Wiechmann, D., et al.
Publicado: (2024)

BenCSSmark: Making the Social Sciences Count in LLM Research
por: Chatelain, Arnault, et al.
Publicado: (2026)

ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
por: Taveekitworachai, Pittawat, et al.
Publicado: (2024)

"AGI" team at SHROOM-CAP: Data-Centric Approach to Multilingual Hallucination Detection using XLM-RoBERTa
por: Rathva, Harsh, et al.
Publicado: (2025)

Generator-Guided Crowd Reaction Assessment
por: Ghosh, Sohom, et al.
Publicado: (2024)