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Papers
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
ICML 2025
Towards Understanding LLM-Generated Biomedical Lay Summaries
NAACL 2025
Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
EMNLP 2025
Truth Knows No Language: Evaluating Truthfulness Beyond English
ACL 2025
Truth, Trust, and Trouble: Medical AI on the Edge
EMNLP 2025
Uncertainty-Aware Contrastive Decoding
ACL 2025
Where Confabulation Lives: Latent Feature Discovery in LLMs
EMNLP 2025
Who Remembers What? Tracing Information Fidelity in Human-AI Chains
IJCNLP 2025
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
EMNLP 2025
A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation
COLING 2024
“According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data
EACL 2024
A Closer Look at Claim Decomposition
NAACL 2024
Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions
COLING 2024
An Analysis of Multilingual FActScore
EMNLP 2024
An Audit on the Perspectives and Challenges of Hallucinations in NLP
EMNLP 2024
A Survey of Confidence Estimation and Calibration in Large Language Models
NAACL 2024
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
ICLR 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
EMNLP 2024
D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
SemEval 2024
Do Language Models Know When They’re Hallucinating References?
EACL 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
EMNLP 2024
Evaluating ChatNetZero, an LLM-Chatbot to Demystify Climate Pledges
ACL 2024
Evaluating Large Language Models for Health-related Queries with Presuppositions
ACL 2024
FactAlign: Long-form Factuality Alignment of Large Language Models
EMNLP 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
EMNLP 2024