hallucination mitigation

Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation EMNLP 2025 Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications ACL 2025 Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation ACL 2025 UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025 Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention ICLR 2025 Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning AAAI 2025 VeReaFine: Iterative Verification Reasoning Refinement RAG for Hallucination-Resistant on Open-Ended Clinical QA ACL 2025 VestaBench: An Embodied Benchmark for Safe Long-Horizon Planning Under Multi-Constraint and Adversarial Settings EMNLP 2025 Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025 Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency EMNLP 2025 “According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data EACL 2024 Addressing Bias and Hallucination in Large Language Models COLING 2024 Advancing Large Language Model Attribution through Self-Improving EMNLP 2024 Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024 Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization NeurIPS 2024 Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ICLR 2024 Are LLMs Aware that Some Questions are not Open-ended? EMNLP 2024 Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning EACL 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 Atomic Self-Consistency for Better Long Form Generations EMNLP 2024 Attribute First, then Generate: Locally-attributable Grounded Text Generation ACL 2024 Attribute or Abstain: Large Language Models as Long Document Assistants EMNLP 2024 Automated Multi-level Preference for MLLMs NeurIPS 2024 Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation ACL 2024 Boosting Language Models Reasoning with Chain-of-Knowledge Prompting ACL 2024