conftrace_

hallucination mitigation

320 papers

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Co-occurring keywords

large language model (13587) retrieval-augmented generation (1592) vision-language model (2348) question answering (2963) text generation (2913) large vision-language model (170) multimodal large language model (966) hallucination detection (530) direct preference optimization (332) language model (4599)

Papers

Automated Multi-level Preference for MLLMs NIPS 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering EMNLP 2024
Advancing Large Language Model Attribution through Self-Improving EMNLP 2024
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism EMNLP 2024
Word Alignment as Preference for Machine Translation EMNLP 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024
Knowledge Verification to Nip Hallucination in the Bud EMNLP 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding EMNLP 2024
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models ACL 2024
MACAROON: Training Vision-Language Models To Be Your Engaged Partners EMNLP 2024
What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-modal Models EMNLP 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation ACL 2024
Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model ACL 2024
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation ACL 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration EMNLP 2024
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering EMNLP 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024
Are LLMs Aware that Some Questions are not Open-ended? EMNLP 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024
Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024