3 papers
cs.CV2026
Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations
Jiangye Yuan, Gowri Kumar, Baoyuan Wang
While Multimodal Large Language Models (MLLMs) have achieved remarkable success in 2D visual understanding, their ability to reason about 3D space remains limited. To address this…
cs.CL2024
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Nuo Chen, Hongguang Li, Juhua Huang +2
Existing retrieval-based methods have made significant strides in maintaining long-term conversations. However, these approaches face challenges in memory database management and a…
math.HO2023
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
Nuo Chen, Hongguang Li, Baoyuan Wang +1
This paper investigates the performance of Large Language Models (LLMs) and Tool-augmented LLMs in tackling complex mathematical reasoning tasks. We introduce IMP-TIP: Improving Ma…