Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Jaumann, Christian, Friedrich, Annemarie, Lienhart, Rainer |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews
por: Jaumann, Christian, et al.
Publicado: (2025)
por: Jaumann, Christian, et al.
Publicado: (2025)
Refactoring Programs Using Large Language Models with Few-Shot Examples
por: Shirafuji, Atsushi, et al.
Publicado: (2023)
por: Shirafuji, Atsushi, et al.
Publicado: (2023)
Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
por: Karim, A H M Rezaul, et al.
Publicado: (2025)
por: Karim, A H M Rezaul, et al.
Publicado: (2025)
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
por: Cheng, Xianfu, et al.
Publicado: (2025)
por: Cheng, Xianfu, et al.
Publicado: (2025)
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
por: Alhindi, Tariq, et al.
Publicado: (2023)
por: Alhindi, Tariq, et al.
Publicado: (2023)
Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approach
por: Math, Hugo, et al.
Publicado: (2024)
por: Math, Hugo, et al.
Publicado: (2024)
Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
por: Li, Pengyi, et al.
Publicado: (2025)
por: Li, Pengyi, et al.
Publicado: (2025)
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
por: Sarwar, Nobin
Publicado: (2025)
por: Sarwar, Nobin
Publicado: (2025)
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches
por: Sterner, Igor, et al.
Publicado: (2024)
por: Sterner, Igor, et al.
Publicado: (2024)
Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features
por: Mitra, Chancharik, et al.
Publicado: (2024)
por: Mitra, Chancharik, et al.
Publicado: (2024)
Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
por: Ghosal, Soumya Suvra, et al.
Publicado: (2025)
por: Ghosal, Soumya Suvra, et al.
Publicado: (2025)
Learning to Retrieve In-Context Examples for Large Language Models
por: Wang, Liang, et al.
Publicado: (2023)
por: Wang, Liang, et al.
Publicado: (2023)
Designing Informative Metrics for Few-Shot Example Selection
por: Adiga, Rishabh, et al.
Publicado: (2024)
por: Adiga, Rishabh, et al.
Publicado: (2024)
Structured Semantic Information Helps Retrieve Better Examples for In-Context Learning Applied to Few-Shot Relation Extraction
por: Chakma, Aunabil, et al.
Publicado: (2026)
por: Chakma, Aunabil, et al.
Publicado: (2026)
ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
por: Bayer, Markus, et al.
Publicado: (2024)
por: Bayer, Markus, et al.
Publicado: (2024)
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation
por: Zhou, Wei, et al.
Publicado: (2025)
por: Zhou, Wei, et al.
Publicado: (2025)
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA
por: Fan, Yue, et al.
Publicado: (2024)
por: Fan, Yue, et al.
Publicado: (2024)
Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
por: Zheng, Hongye, et al.
Publicado: (2025)
por: Zheng, Hongye, et al.
Publicado: (2025)
Large Language Models for Few-Shot Named Entity Recognition
por: Zhao, Yufei, et al.
Publicado: (2018)
por: Zhao, Yufei, et al.
Publicado: (2018)
The Impact of Example Selection in Few-Shot Prompting on Automated Essay Scoring Using GPT Models
por: Yoshida, Lui
Publicado: (2024)
por: Yoshida, Lui
Publicado: (2024)
FewMMBench: A Benchmark for Multimodal Few-Shot Learning
por: Dogan, Mustafa, et al.
Publicado: (2026)
por: Dogan, Mustafa, et al.
Publicado: (2026)
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
por: Mo, Fengran, et al.
Publicado: (2025)
por: Mo, Fengran, et al.
Publicado: (2025)
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies
por: Kuila, Alapan, et al.
Publicado: (2024)
por: Kuila, Alapan, et al.
Publicado: (2024)
Language Models are Few-Shot Graders
por: Zhao, Chenyan, et al.
Publicado: (2025)
por: Zhao, Chenyan, et al.
Publicado: (2025)
Few-Shot Multilingual Open-Domain QA from 5 Examples
por: Jiang, Fan, et al.
Publicado: (2025)
por: Jiang, Fan, et al.
Publicado: (2025)
Benchmarking Open-Source Large Language Models for Persian in Zero-Shot and Few-Shot Learning
por: Cherakhloo, Mahdi, et al.
Publicado: (2025)
por: Cherakhloo, Mahdi, et al.
Publicado: (2025)
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks
por: Ghosal, Soumya Suvra, et al.
Publicado: (2024)
por: Ghosal, Soumya Suvra, et al.
Publicado: (2024)
UniChange: Unifying Change Detection with Multimodal Large Language Model
por: Zhang, Xu, et al.
Publicado: (2025)
por: Zhang, Xu, et al.
Publicado: (2025)
MSA at ImageCLEF 2025 Multimodal Reasoning: Multilingual Multimodal Reasoning With Ensemble Vision Language Models
por: Ahmed, Seif, et al.
Publicado: (2025)
por: Ahmed, Seif, et al.
Publicado: (2025)
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
por: Razumovskaia, Evgeniia, et al.
Publicado: (2024)
por: Razumovskaia, Evgeniia, et al.
Publicado: (2024)
Few-Shot Recalibration of Language Models
por: Li, Xiang Lisa, et al.
Publicado: (2024)
por: Li, Xiang Lisa, et al.
Publicado: (2024)
ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
por: Lin, Yujie, et al.
Publicado: (2026)
por: Lin, Yujie, et al.
Publicado: (2026)
Group Preference Optimization: Few-Shot Alignment of Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2023)
por: Zhao, Siyan, et al.
Publicado: (2023)
LLMs on Drugs: Language Models Are Few-Shot Consumers
por: Doudkin, Alexander
Publicado: (2025)
por: Doudkin, Alexander
Publicado: (2025)
Direct Confidence Alignment: Aligning Verbalized Confidence with Internal Confidence In Large Language Models
por: Zhang, Glenn, et al.
Publicado: (2025)
por: Zhang, Glenn, et al.
Publicado: (2025)
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
por: Qi, Liu, et al.
Publicado: (2024)
por: Qi, Liu, et al.
Publicado: (2024)
PairUni: Pairwise Training for Unified Multimodal Language Models
por: Zheng, Jiani, et al.
Publicado: (2025)
por: Zheng, Jiani, et al.
Publicado: (2025)
Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning
por: Elbakian, Karl, et al.
Publicado: (2025)
por: Elbakian, Karl, et al.
Publicado: (2025)
Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
por: Park, Gyutae, et al.
Publicado: (2024)
por: Park, Gyutae, et al.
Publicado: (2024)
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
por: Semnani, Sina J., et al.
Publicado: (2023)
por: Semnani, Sina J., et al.
Publicado: (2023)
Ejemplares similares
-
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews
por: Jaumann, Christian, et al.
Publicado: (2025) -
Refactoring Programs Using Large Language Models with Few-Shot Examples
por: Shirafuji, Atsushi, et al.
Publicado: (2023) -
Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
por: Karim, A H M Rezaul, et al.
Publicado: (2025) -
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
por: Cheng, Xianfu, et al.
Publicado: (2025) -
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
por: Alhindi, Tariq, et al.
Publicado: (2023)