Summary of Fairbelief — Assessing Harmful Beliefs in Language Models, by Mattia Setzu et al.
FairBelief – Assessing Harmful Beliefs in Language Modelsby Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini,…
FairBelief – Assessing Harmful Beliefs in Language Modelsby Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini,…
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategiesby Flavio Petruzzellis, Alberto Testolin,…
Exploiting Emotion-Semantic Correlations for Empathetic Response Generationby Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu,…
mEdIT: Multilingual Text Editing via Instruction Tuningby Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni,…
On Languaging a Simulation Engineby Han Liu, Liantang LiFirst submitted to arxiv on: 26 Feb…
Intelligent Known and Novel Aircraft Recognition – A Shift from Classification to Similarity Learning for…
Memory GAPS: Would LLMs pass the Tulving Test?by Jean-Marie ChauvetFirst submitted to arxiv on: 26…
Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLby Yuanyuan Liang, Keren Tan,…
Understanding the Dataset Practitioners Behind Large Language Model Developmentby Crystal Qian, Emily Reif, Minsuk KahngFirst…
A Comprehensive Survey of Belief Rule Base (BRB) Hybrid Expert system: Bridging Decision Science and…