hallucination mitigation

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding CVPR 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Navigating Hallucinations for Reasoning of Unintentional Activities EMNLP 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Nearest Neighbor Speculative Decoding for LLM Generation and Attribution NeurIPS 2024 Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024 OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation CVPR 2024 Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model ACL 2024 Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024 Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization NeurIPS 2024 RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering ICLR 2024 Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems EACL 2024 Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models ACL 2024 Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering EMNLP 2024 Sanitizing Large Language Models in Bug Detection with Data-Flow EMNLP 2024 Selective Generation for Controllable Language Models NeurIPS 2024 Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation ACL 2024 Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations EMNLP 2024 Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning EMNLP 2024 Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024 The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024 Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation NAACL 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 Training Language Models to Generate Text with Citations via Fine-grained Rewards ACL 2024