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faithfulness evaluation

58 papers

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