Cover Image

Graph-Guided Textual Explanation Generation Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Shuzhou, Sun, Jingyi, Zhang, Ran, Färber, Michael, Eger, Steffen, Atanasova, Pepa, Augenstein, Isabelle
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
by: Sun, Jingyi, et al.
Published: (2024)

Evaluation Framework for Highlight Explanations of Context Utilisation in Language Models
by: Sun, Jingyi, et al.
Published: (2025)

Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
by: Yu, Haeun, et al.
Published: (2024)

Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
by: Sun, Jingyi, et al.
Published: (2026)

Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement
by: Islam, Sekh Mainul, et al.
Published: (2025)

Self-Critique and Refinement for Faithful Natural Language Explanations
by: Wang, Yingming, et al.
Published: (2025)

GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
by: Yuan, Shuzhou, et al.
Published: (2024)

PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
by: Qu, Zhan, et al.
Published: (2025)

Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification
by: Im, Kyuri, et al.
Published: (2026)

A Reality Check on Context Utilisation for Retrieval-Augmented Generation
by: Hagström, Lovisa, et al.
Published: (2024)

LLM-based multi-agent poetry generation in non-cooperative environments
by: Zhang, Ran, et al.
Published: (2024)

DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
by: Marjanović, Sara Vera, et al.
Published: (2024)

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
by: Yuan, Shuzhou, et al.
Published: (2024)

From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
by: Yuan, Shuzhou, et al.
Published: (2025)

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
by: Yuan, Shuzhou, et al.
Published: (2024)

Cross-lingual Cross-temporal Summarization: Dataset, Models, Evaluation
by: Zhang, Ran, et al.
Published: (2023)

Explaining Sources of Uncertainty in Automated Fact-Checking
by: Sun, Jingyi, et al.
Published: (2025)

How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
by: Zhang, Ran, et al.
Published: (2024)

Investigating the Impact of Model Instability on Explanations and Uncertainty
by: Marjanović, Sara Vera, et al.
Published: (2024)

Understanding the Interplay between LLMs' Utilisation of Parametric and Contextual Knowledge: A keynote at ECIR 2025
by: Augenstein, Isabelle
Published: (2026)

Can Hallucinations Help? Boosting LLMs for Drug Discovery
by: Yuan, Shuzhou, et al.
Published: (2025)

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models
by: Belouadi, Jonas, et al.
Published: (2022)

GraphNarrator: Generating Textual Explanations for Graph Neural Networks
by: Pan, Bo, et al.
Published: (2024)

CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
by: Yuan, Shuzhou, et al.
Published: (2025)

Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs
by: Yuan, Shuzhou, et al.
Published: (2025)

Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations
by: Wang, Qianli, et al.
Published: (2026)

AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
by: Belouadi, Jonas, et al.
Published: (2023)

LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering
by: Zhang, Ran, et al.
Published: (2025)

Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models
by: Yuan, Shuzhou, et al.
Published: (2025)

Aggregating Soft Labels from Crowd Annotations Improves Uncertainty Estimation Under Distribution Shift
by: Wright, Dustin, et al.
Published: (2022)

PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics
by: Larionov, Daniil, et al.
Published: (2024)

PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation
by: Leiter, Christoph, et al.
Published: (2024)

Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks
by: Chen, Yanran, et al.
Published: (2025)

USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation
by: Belouadi, Jonas, et al.
Published: (2022)

BatchGEMBA: Token-Efficient Machine Translation Evaluation with Batched Prompting and Prompt Compression
by: Larionov, Daniil, et al.
Published: (2025)

BMX: Boosting Natural Language Generation Metrics with Explainability
by: Leiter, Christoph, et al.
Published: (2022)

Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models
by: Nie, Ercong, et al.
Published: (2024)

ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
by: Ma, Bolei, et al.
Published: (2024)

Evaluating Diversity in Automatic Poetry Generation
by: Chen, Yanran, et al.
Published: (2024)

TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
by: Greisinger, Christian, et al.
Published: (2026)