hallucination reduction

SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying EMNLP 2025 SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation ACL 2025 Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation ICLR 2025 StoC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering NAACL 2025 Stop Learning it all to Mitigate Visual Hallucination, Focus on the Hallucination Target. CVPR 2025 Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images ACL 2025 Towards General Visual-Linguistic Face Forgery Detection CVPR 2025 ToW: Thoughts of Words Improve Reasoning in Large Language Models NAACL 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 VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations Interspeech 2025 Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents ACL 2025 Aligner: Efficient Alignment by Learning to Correct NeurIPS 2024 Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy ACL 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 Calibrated Self-Rewarding Vision Language Models NeurIPS 2024 CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024 Chain-of-Verification Reduces Hallucination in Large Language Models ACL 2024 CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph ACL 2024 Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? EMNLP 2024 DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models ICLR 2024 Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations EMNLP 2024 Grounding LLMs to In-prompt Instructions: Reducing Hallucinations Caused by Static Pre-training Knowledge COLING 2024 How Well Do Large Language Models Truly Ground? NAACL 2024 KnowGPT: Knowledge Graph based Prompting for Large Language Models NeurIPS 2024