Ming Jin

13

Papers

217

Total Citations

Papers (13)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

LLMs Can Plan Only If We Tell Them

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning

Pausing Policy Learning in Non-stationary Reinforcement Learning

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study

Probing Hidden Knowledge Holes in Unlearned LLMs

Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes

Position: What Can Large Language Models Tell Us about Time Series Analysis

Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs

Tempo Adaptation in Non-stationary Reinforcement Learning