Summary of Mitigating Social Biases in Language Models Through Unlearning, by Omkar Dige et al.
Mitigating Social Biases in Language Models through Unlearningby Omkar Dige, Diljot Singh, Tsz Fung Yau,…
Mitigating Social Biases in Language Models through Unlearningby Omkar Dige, Diljot Singh, Tsz Fung Yau,…
Promises, Outlooks and Challenges of Diffusion Language Modelingby Justin Deschenaux, Caglar GulcehreFirst submitted to arxiv…
Aligning Large Language Models from Self-Reference AI Feedback with one General Principleby Rong Bao, Rui…
FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimationby Bangzheng Li, Ben Zhou,…
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modelingby Zile Qiao, Wei Ye, Yong Jiang, Tong Mo,…
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMsby Nik Bear BrownFirst submitted to…
Contextual Position Encoding: Learning to Count What’s Importantby Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar…
Slaves to the Law of Large Numbers: An Asymptotic Equipartition Property for Perplexity in Generative…
LlamaTurk: Adapting Open-Source Generative Large Language Models for Low-Resource Languageby Cagri ToramanFirst submitted to arxiv…
General Purpose Verification for Chain of Thought Promptingby Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng…