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Kangcong Li

2 accepted papers

2025

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

NeurIPS 2025poster

While Large Language Models (LLMs) demonstrate strong performance across domains, their long-context capabilities are limited by transient neural activations causing information decay and unstructured feed-forward network (FFN) weights leading to semantic fragmentation. Inspired by the brain’s worki…

Cited by 0SourceScholar
2025

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning

ICCV 2025poster

We propose SC-Captioner, a reinforcement learning framework that enables the self-correcting capability of image caption models. Our crucial technique lies in the design of the reward function to incentivize accurate caption corrections. Specifically, the predicted and reference captions are decompo…