1 citations · 1 across the 2 of their papers we have counts for
4 papers
Preserving Updates in Low-Bit Recurrent State Quantization
Haotian Li, Liran Dong, Kaicheng Xiao +1
Linear attention and recurrent models compress past tokens into a fixed-size state that is updated at every step. However, storing these states in high precision incurs substantial…
SkillVine: Agent Skill Evolution via Branching Exploration
Kaiwei Liu, Jiqian Dong, Liran Dong +7
Agent skills encapsulate reusable procedural knowledge that enables LLM agents to perform tasks, and they can be improved automatically using trajectories from interactions with th…
RAM-Net: Linear-Time Sequence Modeling with Sparsely Addressable State
Kaicheng Xiao, Haotian Li, Liran Dong +1
Linear attention offers an efficient alternative to full attention with a fixed-size recurrent state. However, this state is shared by all tokens, so information from distinct toke…
A Large-Scale Multimodal Dataset and Benchmarks for Human Activity Scene Understanding and Reasoning
Siyang Jiang, Mu Yuan, Xiang Ji +12
Multimodal human action recognition (HAR) leverages complementary sensors for activity classification. Beyond recognition, recent advances in large language models (LLMs) enable de…