3 citations · 5 across the 8 of their papers we have counts for
8 papers
D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
Yuru Song, Qi Xin
Autonomous LLM agents require structured long-term memory, yet current "append-and-evolve" systems like A-MEM face O(N^2) write-latency and excessive token costs. We introduce D-ME…
Compress to Focus: Efficient Coordinate Compression for Policy Optimization in Multi-Turn GUI Agents
Yurun Song, Jiong Yin, Rongjunchen Zhang +1
Multi-turn GUI agents enable complex task completion through sequential decision-making, but suffer from severe context inflation as interaction history accumulates. Existing strat…
Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge
Zhuoyi Yang, Yurun Song, Iftekhar Ahmed +1
Multi-hop question answering is widely used to evaluate the reasoning capabilities of large language models (LLMs), as it requires integrating multiple pieces of supporting knowled…
AMAQ: Adaptive Mixed-bit Activation Quantization for Collaborative Parameter Efficient Fine-tuning
Yurun Song, Zhuoyi Yang, Ian G. Harris +1
Large Language Models (LLMs) are scaling rapidly, creating significant challenges for collaborative server client distributed training, particularly in terms of communication effic…
ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation
Yurun Song, Junchen Zhao, Ian G. Harris +1
In this paper, we introduce \textbf{Share}d \textbf{Lo}w \textbf{R}ank \textbf{A}daptation (ShareLoRA), a Large Language Model (LLM) fine-tuning technique that balances parameter e…
VCD: A Dataset for Visual Commonsense Discovery in Images
Xiangqing Shen, Fanfan Wang, Siwei Wu +1
Visual commonsense plays a vital role in understanding and reasoning about the visual world. While commonsense knowledge bases like ConceptNet provide structured collections of gen…
LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices
Junchen Zhao, Yurun Song, Simeng Liu +2
Deploying Large Language Models (LLMs) locally on mobile devices presents a significant challenge due to their extensive memory requirements. In this paper, we introduce LinguaLink…
GAP-Gen: Guided Automatic Python Code Generation
Junchen Zhao, Yurun Song, Junlin Wang +1
Automatic code generation from natural language descriptions can be highly beneficial during the process of software development. In this work, we propose GAP-Gen, a Guided Automat…