111 citations · 149 across the 14 of their papers we have counts for
5 papers · 1 filter
Augment the Cache, Replace the Activation: A 2x2 Study of Internal-State Sharing
Adam Deng, Shicheng Liu, Yada Zhu
Multi-agent systems built from frozen language models communicate through text, which discards the internal state the sender already computed and makes the receiver pay to rebuild…
Close Enough is Nowhere Near: Fidelity-Consumability Decoupling in KV Caches
Adam Deng, Shicheng Liu, Yada Zhu
Multi-agent LLM systems communicate in text, which is lossy and wasteful: the sender throws away the reading it already did. A growing literature instead transmits the KV cache, th…
Interactive Inverse Reinforcement Learning of Interaction Scenarios via Bi-level Optimization
Yue Mao, Shicheng Liu, Siyuan Xu +1
Inverse reinforcement learning (IRL) learns a reward function and a corresponding policy that best fit the demonstration data of an expert. However, in the current IRL setting, the…
DataSTORM: Deep Research on Large-Scale Databases using Exploratory Data Analysis and Data Storytelling
Shicheng Liu, Yucheng Jiang, Sajid Farook +3
Deep research with Large Language Model (LLM) agents is emerging as a powerful paradigm for multi-step information discovery, synthesis, and analysis. However, existing approaches…
Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models
Jiaxi Yang, Shicheng Liu, Yuchen Yang +1
With the rapid advancement of Vision Language Models (VLMs), refusal mechanisms have become a critical component for ensuring responsible and safe model behavior. However, existing…