NLPExplorer

TrustNLP - 2024

Total Papers:- 22

Total Papers accross all years:- 40

Total Citations :- 0

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Holistic Evaluation of Large Language Models: Assessing Robustness, Accuracy, and Toxicity for Real-World Applications

David Cecchini | Arshaan Nazir | Kalyan Chakravarthy | Veysel Kocaman |

Masking Latent Gender Knowledge for Debiasing Image Captioning

BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation

When XGBoost Outperforms GPT-4 on Text Classification: A Case Study

Matyas Bohacek | Michal Bravansky |

Exploring Causal Mechanisms for Machine Text Detection Methods

Kiyoon Yoo | Wonhyuk Ahn | Yeji Song | Nojun Kwak |

FairBelief - Assessing Harmful Beliefs in Language Models

Mattia Setzu | Marta Marchiori Manerba | Pasquale Minervini | Debora Nozza |

Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models

Tobias Groot | Matias Valdenegro - Toro |

FactAlign: Fact-Level Hallucination Detection and Classification Through Knowledge Graph Alignment

Cross-Task Defense: Instruction-Tuning LLMs for Content Safety

Automated Adversarial Discovery for Safety Classifiers

Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations

Lele Cao | Valentin Buchner | Zineb Senane | Fangkai Yang |

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation

Yihao Fang | Stephen Thomas | Xiaodan Zhu |

On the Interplay between Fairness and Explainability

Stephanie Brandl | Emanuele Bugliarello | Ilias Chalkidis |

Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models