Qinkai Yu

According to our database1, Qinkai Yu authored at least 11 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models.
CoRR, 2024

Goal-guided Generative Prompt Injection Attack on Large Language Models.
CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
CoRR, 2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.
CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
CoRR, 2024

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-Aware Prompting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

The Impact of Reasoning Step Length on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.
Proceedings of the Computer Vision - ACCV 2024, 2024

2023
Metric Learning for Projections Bias of Generalized Zero-shot Learning.
CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.
CoRR, 2023


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