Papers by Yingtao Shen

1 papers
River-LLM: Large Language Model Seamless Exit Based on KV Share (2026.acl-long)

Copied to clipboard

Challenge: Existing methods to reduce latency and speed up early exits are costly and impose significant cost and energy consumption.
Approach: They propose a lightweight KV-Shared Exit River framework that allows the backbone’s missing KV cache to be naturally generated and preserved during the exit process.
Outcome: The proposed framework achieves 1.71 to 2.16 speedup while maintaining high generation quality.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations