activity
20192026
most citedA Survey on Large Language Model based Autonomous Agents

1.6k citations · 5.4k across the 83 of their papers we have counts for

collaborators

97 papers

cs.IR2026

ClawRec: A Claw-Native Recommender System

Chenghao Wu, Kesha Ou, Xiaolei Wang +8

Recommender systems have become integral to navigating the modern digital ecosystem. Yet most deployed systems remain confined within single-platform boundaries, observing localize…

cs.CL2026

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models

Jia Deng, Junyi Li, Wayne Xin Zhao +3

Diffusion large language models (dLLMs) offer an efficient alternative to autoregressive models through parallel decoding, yet existing post-training methods largely rely on random…

cs.CV2026

MSUE: Multi-Modal Soccer Understanding Expert

Litao Li, Yibo Yu, Yufeng Hu +4

This paper presents our solution to the 2026 SoccerNet VQA Challenge. We first develop a cost-effective data synthesis pipeline driven by a Vision-Language Model (VLM), which syste…

cs.CL2026

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents

Jia Deng, Yimeng Chen, Xiaoqing Xiang +9

Training deep search agents requires verifiable questions whose answers remain unavailable until sufficient evidence has been acquired through search. Existing synthesis methods of…

cs.IR2026

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

Jiejun Tan, Zhicheng Dou, Liancheng Zhang +3

As Large Language Models (LLMs) are increasingly used for long-duration tasks, maintaining effective long-term memory has become a critical challenge. Current methods often face a…

cs.IR2023★ 1 cited

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction

Zhen Tian, Changwang Zhang, Wayne Xin Zhao +3

Click-Through Rate (CTR) prediction, which aims to estimate the probability of a user clicking on an item, is a key task in online advertising. Numerous existing CTR models concent…