activity
20242026
most citedHypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

1 citations · 1 across the 7 of their papers we have counts for

collaborators

12 papers

cs.SI2026

Contagious Misinterpretations: Social Learning with Shared Interpretations

Pol Rodríguez Farrés, Jesus Cerquides

When people discuss which of several hypotheses is true, they share not only their beliefs but also their interpretation of each one, that is, the distribution of signals each hypo…

cs.AI2026

UniOPSD: Unifying Outcome and Hindsight Feedback for Agentic Reinforcement Learning

Zenghuang Fu, Zhaoyang Li, Qiuyuan Ai +8

Reinforcement learning has become an effective approach to training language model agents, but sparse and delayed outcome rewards provide limited guidance for credit assignment acr…

cs.AI2026

SIPO: Selective-Inference Policy Optimization for Tree-Structured Agentic RL

Zenghuang Fu, Ningqi Chen, Mingda Jia +10

Tree-structured reinforcement learning trains search agents by comparing alternative continuations and propagating terminal rewards to intermediate decisions. Adaptive expansion, h…

cs.CV2026

VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

Siran Peng, Tianshuo Zhang, Tianyu Fu +8

Visual backbones have evolved from Convolutional Neural Networks (CNNs) with local aggregation to Vision Transformers (ViTs) with global interactions, State-Space Models (SSMs) wit…

cs.CL2026

Self-Supervised Skill Optimization

Siran Peng, Cuiyu Yang, Tianyu Fu +9

Agent skills provide frozen large language model (LLM) agents with reusable procedural guidance, and recent work shows that such skills can be optimized with ground-truth (GT) feed…

cs.CV2026

Dive Into the Implicit Biases of Low-rank Vision-language Alignment

Mingjia Shi, Shuo Wang, Xiaobo Wang +7

Vision-language alignment, the stage that bridges pretrained vision encoders and large language models, is widely treated as a form of pretraining requiring full-parameter updates.…

cs.CV2026

WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation

Wei Dong, Tianyu Fu, Zhe Yu +9

As web agents increasingly demonstrate capabilities in automated task execution, the development of robust evaluation frameworks for assessing their navigation and task completion…

cs.RO2026

Grasp-Then-Plan with Failure Attribution: A Closed Two-Stage Framework for Precise and Generalizable Robotic Manipulation

Jiahao Xu, Peiyuan Wang, Hanzhuo Zhang +7

In robotic manipulation, the tight coupling between grasping and motion planning often obscures the true source of failure, leading to inefficient trial-and-error. To enable effici…

cs.CL2026

UPA: Unsupervised Prompt Agent via Tree-Based Search and Selection

Siran Peng, Weisong Zhao, Tianyu Fu +6

Prompt agents have recently emerged as a promising paradigm for automated prompt optimization, framing prompt discovery as a sequential decision-making problem over a structured pr…

cs.MM2025

Mano Technical Report

Tianyu Fu, Anyang Su, Chenxu Zhao +20

Graphical user interfaces (GUIs) are the primary medium for human-computer interaction, yet automating GUI interactions remains challenging due to the complexity of visual elements…

cs.CV2025

PRE-MAP: Personalized Reinforced Eye-tracking Multimodal LLM for High-Resolution Multi-Attribute Point Prediction

Hanbing Wu, Ping Jiang, Anyang Su +5

Visual selective attention, driven by individual preferences, regulates human prioritization of visual stimuli by bridging subjective cognitive mechanisms with objective visual ele…

cs.CV2024★ 1 cited

Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding

Minghui Wu, Chenxu Zhao, Anyang Su +8

Understanding of video creativity and content often varies among individuals, with differences in focal points and cognitive levels across different ages, experiences, and genders.…