most citedMOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction

Changfan Wang, Xinran Wang, Donghai Liu +4

Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low-throughput, limiting large-cohort studies and routine clinical use. Predicting…

cs.IR2026

Robustness Risk of Conversational Retrieval: Identifying and Mitigating Noise Sensitivity in Qwen3-Embedding Model

Weishu Chen, Zhouhui Hou, Mingjie Zhan +2

We present an empirical study of embedding-based retrieval under realistic conversational settings, where queries are short, dialogue-like, and weakly specified, and retrieval corp…

cs.CV2026

Aligning What EEG Can See: Structural Representations for Brain-Vision Matching

Jingyi Tang, Shuai Jiang, Fei Su +1

Visual decoding from electroencephalography (EEG) has emerged as a highly promising avenue for non-invasive brain-computer interfaces (BCIs). Existing EEG-based decoding methods pr…

cs.CV2025

DiTraj: training-free trajectory control for video diffusion transformer

Cheng Lei, Jiayu Zhang, Yue Ma +6

Diffusion Transformers (DiT)-based video generation models with 3D full attention exhibit strong generative capabilities. Trajectory control represents a user-friendly task in the…

cs.CL20251 cited

MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues

Weishu Chen, Jinyi Tang, Zhouhui Hou +7

Memory extraction is crucial for maintaining coherent ultra-long dialogues in human-robot role-playing scenarios. However, existing methods often exhibit uncontrolled memory growth…

cs.CV2025

Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval

Haiwen Li, Delong Liu, Zhaohui Hou +2

As a challenging vision-language (VL) task, Composed Image Retrieval (CIR) aims to retrieve target images using multimodal (image+text) queries. Although many existing CIR methods…