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hallucination mitigation

361 papers

Papers

Boosting the Potential of Large Language Models with an Intelligent Information Assistant NeurIPS 2024 BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval Augmented Generation EMNLP 2024 Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources ICLR 2024 Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models EMNLP 2024 Chain-of-Thought Improves Text Generation with Citations in Large Language Models AAAI 2024 Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies ACL 2024 Cited Text Spans for Scientific Citation Text Generation ACL 2024 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NeurIPS 2024 ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval ACL 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024 Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations EMNLP 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering EMNLP 2024 Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification NAACL 2024 EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024 Elastic Weight Removal for Faithful and Abstractive Dialogue Generation NAACL 2024 Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights EMNLP 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024 Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation NAACL 2024 FactAlign: Long-form Factuality Alignment of Large Language Models EMNLP 2024 Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024 FlexiQA: Leveraging LLM’s Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering EACL 2024