2 papers
cs.CV2024
SegLLM: Multi-round Reasoning Segmentation
XuDong Wang, Shaolun Zhang, Shufan Li +5
We present SegLLM, a novel multi-round interactive reasoning segmentation model that enhances LLM-based segmentation by exploiting conversational memory of both visual and textual…
cs.LG2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
Hanlin Zhu, Baihe Huang, Shaolun Zhang +4
Auto-regressive large language models (LLMs) show impressive capacities to solve many complex reasoning tasks while struggling with some simple logical reasoning tasks such as inve…