11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.NE2026
Where to Bind Matters: Hebbian Fast Weights in Vision Transformers for Few-Shot Character Recognition
Gavin Money, Sindhuja Penchala, Jiacheng Li +1
Standard transformer architectures learn fixed slow-weight representations during training and lack mechanisms for rapid adaptation within an episode. In contrast, biological neura…
cs.IR2025
An Empirical Study of Position Bias in Modern Information Retrieval
Ziyang Zeng, Dun Zhang, Jiacheng Li +3
This study investigates the position bias in information retrieval, where models tend to overemphasize content at the beginning of passages while neglecting semantically relevant i…
cs.IR2025★ 11 cited
Jasper and Stella: distillation of SOTA embedding models
Dun Zhang, Jiacheng Li, Ziyang Zeng +1
A crucial component in many deep learning applications, such as Frequently Asked Questions (FAQ) and Retrieval-Augmented Generation (RAG), is dense retrieval. In this process, embe…