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factual accuracy

105 papers

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Co-occurring keywords

large language model (12755) hallucination detection (505) retrieval-augmented generation (1459) hallucination mitigation (306) text generation (2903) language model (4573) question answering (2904) multilingual nlp (1423) knowledge graph (1795) long-form generation (49)

Papers

“According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data EACL 2024
HypoTermQA: Hypothetical Terms Dataset for Benchmarking Hallucination Tendency of LLMs EACL 2024
Do Language Models Know When They’re Hallucinating References? EACL 2024
An Audit on the Perspectives and Challenges of Hallucinations in NLP EMNLP 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models EMNLP 2024
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation COLING 2024
Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions COLING 2024
Know When To Stop: A Study of Semantic Drift in Text Generation NAACL 2024
An Analysis of Multilingual FActScore EMNLP 2024
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts ACL 2024
FactAlign: Long-form Factuality Alignment of Large Language Models EMNLP 2024
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers ACL 2024
Evaluating Large Language Models for Health-related Queries with Presuppositions ACL 2024
Evaluating ChatNetZero, an LLM-Chatbot to Demystify Climate Pledges ACL 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation ACL 2024
Credible without Credit: Domain Experts Assess Generative Language Models ACL 2023
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization ACL 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia EMNLP 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models EMNLP 2023
Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023
Evaluating and Modeling Attribution for Cross-Lingual Question Answering EMNLP 2023
Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains EMNLP 2023
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL 2022