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#Multi-hop Reasoning

T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning

Intermediate

Qinsi Wang, Hancheng Ye et al.Mar 4arXiv

This paper shows that teaching AI to first draw a simple map of a text (nodes and links) before answering questions makes it smarter and more reliable.

#Structure of Thought#Text-to-Structure#Intermediate Representation

OmniGAIA: Towards Native Omni-Modal AI Agents

Intermediate

Xiaoxi Li, Wenxiang Jiao et al.Feb 26arXiv

OmniGAIA is a new test that checks if AI can watch videos, look at images, listen to audio, and use web and code tools in several steps to find a verified answer.

#OmniGAIA#OmniAtlas#Tool-Integrated Reasoning

Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation

Intermediate

Kwun Hang Lau, Fangyuan Zhang et al.Feb 2arXiv

CatRAG is a new way for AI to find the right facts by letting the knowledge graph change its paths based on each question.

#Retrieval-Augmented Generation#Knowledge Graph#Personalized PageRank

Multi-hop Reasoning via Early Knowledge Alignment

Intermediate

Yuxin Wang, Shicheng Fang et al.Dec 23arXiv

This paper adds a tiny but powerful step called Early Knowledge Alignment (EKA) to multi-step retrieval systems so the model takes a quick, smart look at relevant information before it starts planning.

#Retrieval-Augmented Generation#Iterative RAG#Multi-hop Reasoning