Cover Image

Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qi, Jirui, Sarti, Gabriele, Fernández, Raquel, Bisazza, Arianna
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation
by: Qi, Jirui, et al.
Published: (2025)

Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023)

Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024)

Steering Large Language Models for Machine Translation Personalization
by: Scalena, Daniel, et al.
Published: (2025)

Quantifying the Plausibility of Context Reliance in Neural Machine Translation
by: Sarti, Gabriele, et al.
Published: (2023)

Post-Training Language Models for Crosslingual Consistency
by: Liu, Tianyu, et al.
Published: (2026)

Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses
by: Sarti, Gabriele, et al.
Published: (2024)

Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
by: Baan, Joris, et al.
Published: (2026)

Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
by: Sarti, Gabriele, et al.
Published: (2025)

Multi-property Steering of Large Language Models with Dynamic Activation Composition
by: Scalena, Daniel, et al.
Published: (2024)

Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
by: Li, Ruizhe, et al.
Published: (2025)

The Challenge of Achieving Attributability in Multilingual Table-to-Text Generation with Question-Answer Blueprints
by: Haussmann, Aden
Published: (2025)

SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
by: Kirchhof, Michael, et al.
Published: (2025)

Reliable, Adaptable, and Attributable Language Models with Retrieval
by: Asai, Akari, et al.
Published: (2024)

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
by: Shah, Syed Huma
Published: (2026)

Learning Retrieval Augmentation for Personalized Dialogue Generation
by: Huang, Qiushi, et al.
Published: (2024)

Multiple Abstraction Level Retrieve Augment Generation
by: Zheng, Zheng, et al.
Published: (2025)

Enhancing Frame Detection with Retrieval Augmented Generation
by: Diallo, Papa Abdou Karim Karou, et al.
Published: (2025)

Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
by: Prahlad, Deeksha, et al.
Published: (2025)

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
by: Huang, Yukun, et al.
Published: (2025)

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation
by: Merth, Thomas, et al.
Published: (2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
by: Divekar, Abhishek, et al.
Published: (2024)

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation
by: Liu, Dongqi, et al.
Published: (2026)

Source Attribution in Retrieval-Augmented Generation
by: Nematov, Ikhtiyor, et al.
Published: (2025)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
by: Zhu, Yinghao, et al.
Published: (2024)

Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
by: Jadon, Aryan, et al.
Published: (2025)

Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models
by: Liu, Fengchen, et al.
Published: (2024)

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching
by: Li, Xiaodi, et al.
Published: (2026)

Mix-of-Granularity: Optimize the Chunking Granularity for Retrieval-Augmented Generation
by: Zhong, Zijie, et al.
Published: (2024)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)

An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation
by: Orbach, Matan, et al.
Published: (2025)

Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
by: Lakatos, Robert, et al.
Published: (2024)

Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models
by: Zhang, Bryan, et al.
Published: (2024)

Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
by: Thulke, David, et al.
Published: (2025)

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
by: Kim, Jaemin, et al.
Published: (2026)

LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
by: Li, Xiaodi, et al.
Published: (2025)

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
by: Kim, Jaehyung, et al.
Published: (2024)

Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models
by: Yadav, Vikas, et al.
Published: (2024)

Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation
by: Riaz, Haris, et al.
Published: (2025)