activity
20242026
most citedOn Memory Construction and Retrieval for Personalized Conversational Agents

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

The Tool Illusion: Rethinking Tool Use in Web Agents

Renze Lou, Baolin Peng, Wenlin Yao +5

As web agents rapidly evolve, an increasing body of work has moved beyond conventional atomic browser interactions and explored tool use as a higher-level action paradigm. Although…

cs.LG2026

GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL

Rui Yang, Qianhui Wu, Zhaoyang Wang +8

Open-source native GUI agents still lag behind closed-source systems on long-horizon navigation tasks. This gap stems from two limitations: a shortage of high-quality, action-align…

cs.LG2025

SynthAgent: Adapting Web Agents with Synthetic Supervision

Zhaoyang Wang, Yiming Liang, Xuchao Zhang +9

Web agents struggle to adapt to new websites due to the scarcity of environment specific tasks and demonstrations. Recent works have explored synthetic data generation to address t…

cs.CV2025

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

Yucheng Li, Huiqiang Jiang, Chengruidong Zhang +8

The integration of long-context capabilities with visual understanding unlocks unprecedented potential for Vision Language Models (VLMs). However, the quadratic attention complexit…

cs.CL2025★ 2 cited

On Memory Construction and Retrieval for Personalized Conversational Agents

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang +8

To deliver coherent and personalized experiences in long-term conversations, existing approaches typically perform retrieval augmented response generation by constructing memory ba…

cs.CL2024★ 1 cited

SCBench: A KV Cache-Centric Analysis of Long-Context Methods

Yucheng Li, Huiqiang Jiang, Qianhui Wu +8

Long-context LLMs have enabled numerous downstream applications but also introduced significant challenges related to computational and memory efficiency. To address these challeng…