Copertina

ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Molfese, Francesco Maria, Conia, Simone, Orlando, Riccardo, Navigli, Roberto
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering
di: Molfese, Francesco Maria, et al.
Pubblicazione: (2025)

Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering
di: Molfese, Francesco Maria, et al.
Pubblicazione: (2025)

ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
di: Orlando, Riccardo, et al.
Pubblicazione: (2024)

Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
di: Usmanova, Aida, et al.
Pubblicazione: (2024)

PDF Retrieval Augmented Question Answering
di: Hoang, Thi Thu Uyen, et al.
Pubblicazione: (2025)

Uncertainty Quantification in Retrieval Augmented Question Answering
di: Perez-Beltrachini, Laura, et al.
Pubblicazione: (2025)

Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering
di: Peng, Boci, et al.
Pubblicazione: (2024)

Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
di: Ko, Sungho, et al.
Pubblicazione: (2024)

Multimodal Commonsense Knowledge Distillation for Visual Question Answering
di: Yang, Shuo, et al.
Pubblicazione: (2024)

Answerability in Retrieval-Augmented Open-Domain Question Answering
di: Abdumalikov, Rustam, et al.
Pubblicazione: (2024)

Understanding Retrieval Augmentation for Long-Form Question Answering
di: Chen, Hung-Ting, et al.
Pubblicazione: (2023)

BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering
di: He, Jie, et al.
Pubblicazione: (2023)

Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs
di: Conia, Simone, et al.
Pubblicazione: (2024)

Rationale-Guided Retrieval Augmented Generation for Medical Question Answering
di: Sohn, Jiwoong, et al.
Pubblicazione: (2024)

Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation
di: Beauchemin, David, et al.
Pubblicazione: (2024)

Federated Retrieval Augmented Generation for Multi-Product Question Answering
di: Shojaee, Parshin, et al.
Pubblicazione: (2025)

ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
di: Jung, Jeesu, et al.
Pubblicazione: (2025)

Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering
di: Zhu, Rongzhi, et al.
Pubblicazione: (2025)

MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering
di: Yang, Shuo, et al.
Pubblicazione: (2025)

Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering
di: Awal, Rabiul, et al.
Pubblicazione: (2023)

Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts
di: Chen, Zhuo, et al.
Pubblicazione: (2024)

Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems
di: Ji, Yuelyu, et al.
Pubblicazione: (2025)

Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering
di: Ning, Yunfeng, et al.
Pubblicazione: (2025)

Meronymic Ontology Extraction via Large Language Models
di: Zhang, Dekai, et al.
Pubblicazione: (2025)

Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards
di: Pisano, Raffaele, et al.
Pubblicazione: (2026)

Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
di: Molfese, Francesco Maria, et al.
Pubblicazione: (2026)

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering
di: Wang, Xiaochen, et al.
Pubblicazione: (2024)

Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented Generation
di: Saba, Walid, et al.
Pubblicazione: (2024)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
di: In, Yeonjun, et al.
Pubblicazione: (2024)

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2024)

ARK-V1: An LLM-Agent for Knowledge Graph Question Answering Requiring Commonsense Reasoning
di: Klein, Jan-Felix, et al.
Pubblicazione: (2025)

Commonsense for Zero-Shot Natural Language Video Localization
di: Holla, Meghana, et al.
Pubblicazione: (2023)

Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
di: Dong, Kuicai, et al.
Pubblicazione: (2025)

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
di: Shi, Zhengliang, et al.
Pubblicazione: (2024)

TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
di: Li, Shuo, et al.
Pubblicazione: (2023)

Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
di: Kaiser, Magdalena, et al.
Pubblicazione: (2025)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
di: Shi, Yucheng, et al.
Pubblicazione: (2023)

RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering
di: Zhang, Zihan, et al.
Pubblicazione: (2024)

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
di: Zhai, Weihe, et al.
Pubblicazione: (2023)

Retrieval Augmented Generation for Domain-specific Question Answering
di: Sharma, Sanat, et al.
Pubblicazione: (2024)