activity
20232026
most citedShortcut Learning in In-Context Learning: A Survey

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Latent Action Control for Reasoning-Guided Unified Image Generation

Fuxiang Zhai, Sixiang Chen, Yingjin Li +4

Unified multimodal models can encode visual understanding and image generation within a shared backbone, yet understanding does not automatically translate into control: models may…

cs.CL2026

Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning

Rui Song, Lida Shi, Ruihua Qi +2

In recent years, rapid advances in Multimodal Large Language Models (MLLMs) have increasingly stimulated research on ancient Chinese scripts. As the evolution of written characters…

cs.CV2025

Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction

Juncheng Hu, Zijian Zhang, Zeyu Wang +3

Forecasting 3D human motion is an important embodiment of fine-grained understanding and cognition of human behavior by artificial agents. Current approaches excessively rely on im…

cs.CL2024★ 2 cited

Shortcut Learning in In-Context Learning: A Survey

Rui Song, Yingji Li, Lida Shi +2

Shortcut learning refers to the phenomenon where models employ simple, non-robust decision rules in practical tasks, which hinders their generalization and robustness. With the rap…

cs.LG2024

Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework

Mu Liu, MingChen Sun YingJi Li, Ying Wang

Recently, spatial-temporal forecasting technology has been rapidly developed due to the increasing demand for traffic management and travel planning. However, existing traffic fore…

cs.CL2023

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification

Rui Song, Fausto Giunchiglia, Yingji Li +2

Cross-domain text classification aims to transfer models from label-rich source domains to label-poor target domains, giving it a wide range of practical applications. Many approac…

cs.CL2023★ 1 cited

Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search

Rui Song, Fausto Giunchiglia, Yingji Li +1

Despite large-scale pre-trained language models have achieved striking results for text classificaion, recent work has raised concerns about the challenge of shortcut learning. In…