Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Design
Fuente:
arXiv
Guardado en:
| Autores principales: | Wrzalik, Marco, Ulges, Adrian, Uersfeld, Anne, Faust, Florian, Campos, Viola |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Automatic Task Detection and Heterogeneous LLM Speculative Decoding
por: Ge, Danying, et al.
Publicado: (2025)
por: Ge, Danying, et al.
Publicado: (2025)
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
por: Dinh, Tu Anh, et al.
Publicado: (2024)
por: Dinh, Tu Anh, et al.
Publicado: (2024)
Using LLM-Based Approaches to Enhance and Automate Topic Labeling
por: Khandelwal, Trishia
Publicado: (2025)
por: Khandelwal, Trishia
Publicado: (2025)
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents
por: Wang, Renxi, et al.
Publicado: (2024)
por: Wang, Renxi, et al.
Publicado: (2024)
Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study
por: Mihindukulasooriya, Nandana, et al.
Publicado: (2025)
por: Mihindukulasooriya, Nandana, et al.
Publicado: (2025)
Learning vs Retrieval: The Role of In-Context Examples in Regression with Large Language Models
por: Nafar, Aliakbar, et al.
Publicado: (2024)
por: Nafar, Aliakbar, et al.
Publicado: (2024)
Toward Architecture-Aware Evaluation Metrics for LLM Agents
por: Souza, Débora, et al.
Publicado: (2026)
por: Souza, Débora, et al.
Publicado: (2026)
PromptSAM+: Malware Detection based on Prompt Segment Anything Model
por: Wei, Xingyuan, et al.
Publicado: (2024)
por: Wei, Xingyuan, et al.
Publicado: (2024)
Breaking the HISCO Barrier: Automatic Occupational Standardization with OccCANINE
por: Dahl, Christian Møller, et al.
Publicado: (2024)
por: Dahl, Christian Møller, et al.
Publicado: (2024)
PathBench: Speech Intelligibility Benchmark for Automatic Pathological Speech Assessment
por: Halpern, Bence Mark, et al.
Publicado: (2026)
por: Halpern, Bence Mark, et al.
Publicado: (2026)
CRISP: Persistent Concept Unlearning via Sparse Autoencoders
por: Ashuach, Tomer, et al.
Publicado: (2025)
por: Ashuach, Tomer, et al.
Publicado: (2025)
Select or Project? Evaluating Lower-dimensional Vectors for LLM Training Data Explanations
por: Hinterleitner, Lukas, et al.
Publicado: (2026)
por: Hinterleitner, Lukas, et al.
Publicado: (2026)
Decoding-Free Sampling Strategies for LLM Marginalization
por: Pohl, David, et al.
Publicado: (2025)
por: Pohl, David, et al.
Publicado: (2025)
APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
por: Chernodub, Artem, et al.
Publicado: (2025)
por: Chernodub, Artem, et al.
Publicado: (2025)
Steer-MoE: Efficient Audio-Language Alignment with a Mixture-of-Experts Steering Module
por: Feng, Ruitao, et al.
Publicado: (2025)
por: Feng, Ruitao, et al.
Publicado: (2025)
Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
por: Charles, Richard M., et al.
Publicado: (2025)
por: Charles, Richard M., et al.
Publicado: (2025)
Cost-Aware Model Selection for Text Classification: Multi-Objective Trade-offs Between Fine-Tuned Encoders and LLM Prompting in Production
por: Gonzalez, Alberto Andres Valdes
Publicado: (2026)
por: Gonzalez, Alberto Andres Valdes
Publicado: (2026)
ADAG: Automatically Describing Attribution Graphs
por: Arora, Aryaman, et al.
Publicado: (2026)
por: Arora, Aryaman, et al.
Publicado: (2026)
Applying Cognitive Design Patterns to General LLM Agents
por: Wray, Robert E., et al.
Publicado: (2025)
por: Wray, Robert E., et al.
Publicado: (2025)
LLM-Based SQL Generation: Prompting, Self-Refinement, and Adaptive Weighted Majority Voting
por: Yang, Yu-Jie, et al.
Publicado: (2026)
por: Yang, Yu-Jie, et al.
Publicado: (2026)
Test-driven Software Experimentation with LASSO: an LLM Prompt Benchmarking Example
por: Kessel, Marcus
Publicado: (2024)
por: Kessel, Marcus
Publicado: (2024)
Identifying Fairness Issues in Automatically Generated Testing Content
por: Stowe, Kevin, et al.
Publicado: (2024)
por: Stowe, Kevin, et al.
Publicado: (2024)
LombardoGraphia: Automatic Classification of Lombard Orthography Variants
por: Signoroni, Edoardo, et al.
Publicado: (2026)
por: Signoroni, Edoardo, et al.
Publicado: (2026)
Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection
por: Yang, Zachary, et al.
Publicado: (2025)
por: Yang, Zachary, et al.
Publicado: (2025)
Synthetic Voice Data for Automatic Speech Recognition in African Languages
por: DeRenzi, Brian, et al.
Publicado: (2025)
por: DeRenzi, Brian, et al.
Publicado: (2025)
Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation
por: Dejl, Adam, et al.
Publicado: (2025)
por: Dejl, Adam, et al.
Publicado: (2025)
Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization
por: Elganayni, Mohamed Hesham, et al.
Publicado: (2026)
por: Elganayni, Mohamed Hesham, et al.
Publicado: (2026)
Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models
por: Tian, Changxin, et al.
Publicado: (2025)
por: Tian, Changxin, et al.
Publicado: (2025)
Evaluating the Clinical Safety of LLMs in Response to High-Risk Mental Health Disclosures
por: Shah, Siddharth, et al.
Publicado: (2025)
por: Shah, Siddharth, et al.
Publicado: (2025)
Quality Estimation with $k$-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation
por: Dinh, Tu Anh, et al.
Publicado: (2024)
por: Dinh, Tu Anh, et al.
Publicado: (2024)
SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation
por: Yun, Janghyeon, et al.
Publicado: (2025)
por: Yun, Janghyeon, et al.
Publicado: (2025)
The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations
por: Lequeu, Pierre-Antoine, et al.
Publicado: (2026)
por: Lequeu, Pierre-Antoine, et al.
Publicado: (2026)
Large Language Model (LLM) Bias Index -- LLMBI
por: Oketunji, Abiodun Finbarrs, et al.
Publicado: (2023)
por: Oketunji, Abiodun Finbarrs, et al.
Publicado: (2023)
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
por: Saji, Alan, et al.
Publicado: (2025)
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)
por: Peters, Sydney, et al.
Publicado: (2025)
Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
por: Schmitt, Marvin, et al.
Publicado: (2026)
por: Schmitt, Marvin, et al.
Publicado: (2026)
The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts
por: Johnson, Warren
Publicado: (2026)
por: Johnson, Warren
Publicado: (2026)
Compression Method Matters: Benchmark-Dependent Output Dynamics in LLM Prompt Compression
por: Johnson, Warren
Publicado: (2026)
por: Johnson, Warren
Publicado: (2026)
Less Is More: Cognitive Load and the Single-Prompt Ceiling in LLM Mathematical Reasoning
por: Cazares, Manuel Israel
Publicado: (2026)
por: Cazares, Manuel Israel
Publicado: (2026)
Compact Example-Based Explanations for Language Models
por: Schoenegger, Loris, et al.
Publicado: (2026)
por: Schoenegger, Loris, et al.
Publicado: (2026)
Ejemplares similares
-
Automatic Task Detection and Heterogeneous LLM Speculative Decoding
por: Ge, Danying, et al.
Publicado: (2025) -
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
por: Dinh, Tu Anh, et al.
Publicado: (2024) -
Using LLM-Based Approaches to Enhance and Automate Topic Labeling
por: Khandelwal, Trishia
Publicado: (2025) -
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents
por: Wang, Renxi, et al.
Publicado: (2024) -
Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study
por: Mihindukulasooriya, Nandana, et al.
Publicado: (2025)