Papers by Yuanhao Sun
VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models (2026.acl-long)
Copied to clipboard
| Challenge: | Existing methods for visual token pruning rely on predefined configurations without determining whether they achieve optimal performance. |
| Approach: | They propose a framework that formulates visual token pruning as a Pareto configuration optimization problem to automatically identify optimal configurations. |
| Outcome: | The proposed framework approximates the empirical Pareto frontier obtained through grid search and generalizes well across pruning methods and VLM architectures. |
CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering (2026.findings-acl)
Copied to clipboard
| Challenge: | Large language models (LLMs) possess strong capabilities in language understanding and generation, as well as remarkable problem-solving abilities. |
| Approach: | They propose a benchmark to assess the cognitive alignment capabilities of large language models in educational QA. |
| Outcome: | The proposed evaluation benchmark assesses the cognitive alignment capabilities of large language models in educational QA. |