Tapered Language Models

Beyond Autoregression: LLaDA2.1 and the Case for Self-Editing Language Models

How catastrophic is your LLM?

Unsupervised Algorithm for Language Model Fine-Tuning Introduced

The article introduces an unsupervised algorithm, Internal Coherence Maximization (ICM), to fine-tune pretrained language models without ext

ACM Transactions on Asian and Low-Resource Language Information Processing (tallip) Vol 25, Issue 6

Exploring the Limitations of Language Models as World Models

The article argues that language models (LLMs) are not world models, despite their complexity and capabilities. The author provides examples

ACM Transactions on Asian and Low-Resource Language Information Processing (tallip) Vol 25, Issue 7