hallucination mitigation

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation ACL 2025 Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models EMNLP 2025 DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation ACL 2025 Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models ACL 2025 Empowering GraphRAG with Knowledge Filtering and Integration EMNLP 2025 Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst AAAI 2025 Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation EMNLP 2025 Evaluating and Mitigating Object Hallucination in Large Vision-Language Models: Can They Still See Removed Objects? NAACL 2025 Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation EMNLP 2025 Exploring Knowledge Filtering for Retrieval-Augmented Discriminative Tasks ACL 2025 FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs EMNLP 2025 Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning ICLR 2025 Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering COLING 2025 FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering EMNLP 2025 Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents EMNLP 2025 GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs IJCAI 2025 Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution ACL 2025 Generating Domain-Specific Knowledge Graphs from Large Language Models ACL 2025 Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation NAACL 2025 GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation NAACL 2025 GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking ACL 2025 Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval ICLR 2025 Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis IJCAI 2025 HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain EMNLP 2025 HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models ACL 2025