4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CL2026
A Single-Layer Model Can Do Language Modeling
Zanmin Wang
Modern language models scale depth by stacking layers, each holding its own state - a per-layer KV cache in transformers, a per-layer matrix in Mamba, Gated DeltaNet (GDN), RWKV, a…
cs.CV2024
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
Jinyuan Li, Han Li, Di Sun +4
Grounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions. GMNER t…
cs.CL2023★ 4 cited
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine
Guoxing Yang, Jianyu Shi, Zan Wang +2
Pre-training and fine-tuning have emerged as a promising paradigm across various natural language processing (NLP) tasks. The effectiveness of pretrained large language models (LLM…