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

Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models ACL 2024
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models ACL 2024
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies ACL 2024
Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models ACL 2024
Cited Text Spans for Scientific Citation Text Generation ACL 2024
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization NIPS 2024
Explainable CED: A Dataset for Explainable Critical Error Detection in Machine Translation NAACL 2024
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding NAACL 2024
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems EACL 2024
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space ACL 2024
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding CVPR 2024
Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning EACL 2024
FlexiQA: Leveraging LLM’s Evaluation Capabilities for Flexible Knowledge Selection in Open-domain Question Answering EACL 2024
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting ACL 2024
Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024
“According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data EACL 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NIPS 2024
Sanitizing Large Language Models in Bug Detection with Data-Flow EMNLP 2024
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval Augmented Generation EMNLP 2024
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo NAACL 2024
Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024
Think While You Write: Hypothesis Verification Promotes Faithful Knowledge-to-Text Generation NAACL 2024
Efficient Citer: Tuning Large Language Models for Enhanced Answer Quality and Verification NAACL 2024
Attribute First, then Generate: Locally-attributable Grounded Text Generation ACL 2024