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Papers
CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization
CVPR 2026
Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness Labels
EACL 2026
Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
ACL 2026
Multilingual Self-Taught Faithfulness Evaluators
EACL 2026
SCIEval: Evaluating and Benchmarking the Faithfulness of Scientific Image Generation and Interpretation with Large Multimodal Models
CVPR 2026
Are Large Language Models Fluent in Declarative Process Mining?
IJCAI 2025
Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards
EMNLP 2025
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
ACL 2025
Explaining Differences Between Model Pairs in Natural Language through Sample Learning
EMNLP 2025
F2TEval: Human-Aligned Multi-Dimensional Evaluation for Figure-to-Text Task
EMNLP 2025
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
ICLR 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding
EMNLP 2025
Listen to the Context: Towards Faithful Large Language Models for Retrieval Augmented Generation on Climate Questions
ACL 2025
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
NAACL 2025
Real-World Summarization: When Evaluation Reaches Its Limits
EMNLP 2025
Summarization of Opinionated Political Documents with Varied Perspectives
COLING 2025
Where Did That Come From? Sentence-Level Error-Tolerant Attribution
EMNLP 2025
Aligning Uncertainty: Leveraging LLMs to Analyze Uncertainty Transfer in Text Summarization
EACL 2024
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends
ACL 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
EMNLP 2024
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations
ACL 2024
Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
COLING 2024
Evaluating Readability and Faithfulness of Concept-based Explanations
EMNLP 2024
Faithful Chart Summarization with ChaTS-Pi
ACL 2024