Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Abstract: In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to ...
English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...
[7 Jan 2023] ROIC-DM: Robust Text Inference and Classification via Diffusion Model ...
Abstract: Large language models (LLMs) have garnered unprecedented advancements across diverse fields, ranging from natural language processing to computer vision and beyond. The prowess of LLMs is ...
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