Large Language Model
OnscalableoversightwithweakLLMsjudgingstrong LLMs
Previous work assigned debaters/consultants an answer to argue for.
MarioGPT: Open-Ended T ext2Level Generation through Large Language Models
Procedural Content Generation (PCG) is a technique to generate complex and diverse environments in an automated way.
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation Ziyi Wang Y anbo Wang
Subsequently, the generated 2D masks are employed to align mask-level 3D representations with the vision-language feature space, thereby augmenting the open vocabulary capability of 3D geometry embeddings.
TableRAG: Million-Token Table Understanding with Language Models Si-An Chen
This enables more efficient data encoding and precise retrieval, significantly reducing prompt lengths and mitigating information loss. We have developed two new million-token benchmarks from the Arcade and BIRD-SQL datasets to thoroughly evaluate TableRAG's effectiveness at scale.
TOA: Task-oriented Active VQA
Recently large language models like GPT -3 have shown encouraging performance as implicit knowledge source and revealed planning abilities.
