1 citations · 1 across the 6 of their papers we have counts for
6 papers
Fast Weight Attention for Continual Learning
Yifan Zhang, Steve Ta, Jasper Zhang +8
Recurrent fast-weight memories and selective state-space models compress an expanding context into a fixed-size recurrent state, making the state transition an online learning rule…
DeepLoop: Depth Scaling for Looped Transformers
Shuzhen Li, Yifan Zhang, Jiacheng Guo +2
Looped Transformers scale sequential computation by applying a compact stack of physical blocks for multiple rounds, increasing unrolled depth without increasing stored parameters.…
Interactive Benchmarks
Baoqing Yue, Zihan Zhu, Yutong Han +6
Existing reasoning evaluation paradigms suffer from different limitations: fixed benchmarks are increasingly saturated and vulnerable to contamination, while preference-based evalu…
Deep Delta Learning
Yifan Zhang, Yifeng Liu, Mengdi Wang +1
Transformer residual streams are updated by addition. A sufficiently expressive residual block can represent content replacement, but the residual update itself has no operation th…
Web World Models
Jichen Feng, Yifan Zhang, Chenggong Zhang +3
Language agents increasingly require persistent worlds in which they can act, remember, and learn. Existing approaches sit at two extremes: conventional web frameworks provide reli…
Monadic Context Engineering
Yifan Zhang, Yang Yuan, Mengdi Wang +1
The proliferation of Large Language Models (LLMs) has catalyzed a shift towards autonomous agents capable of complex reasoning and tool use. However, current agent architectures ar…