Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAoj2yL7iZIU7_f7IcUF3fkhvN5Sh1nY8Q2kUzuxPbKPs/assertion>. }
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- ToG type Workflow assertion.
- StructGPT type Workflow assertion.
- RoG type Workflow assertion.
- GraftNet type Workflow assertion.
- GCR type Workflow assertion.
- KDCoT type Workflow assertion.
- NSM type Workflow assertion.
- SRNSM type Workflow assertion.
- ReaRev type Workflow assertion.
- arXiv.2505.20971 type Entity assertion.
- EWEKQA type Workflow assertion.
- EffiQA type Workflow assertion.
- GNNRAGRA type Workflow assertion.
- ReasonAlignRespond type Workflow assertion.
- ToG label "ToG" assertion.
- StructGPT label "StructGPT" assertion.
- RoG label "RoG" assertion.
- GraftNet label "GraftNet" assertion.
- GCR label "GCR" assertion.
- KDCoT label "KD-CoT" assertion.
- NSM label "NSM" assertion.
- SRNSM label "SR+NSM" assertion.
- ReaRev label "ReaRev" assertion.
- EWEKQA label "EWEK-QA" assertion.
- EffiQA label "EffiQA" assertion.
- GNNRAGRA label "GNN-RAG+RA" assertion.
- ReasonAlignRespond label "Reason-Align-Respond (RAR)" assertion.
- ReasonAlignRespond comment "RAR is a novel framework that systematically integrates LLM reasoning with knowledge graphs for Knowledge Graph Question Answering (KGQA). It employs three fine-tuned LLM modules (Reasoner, Aligner, Responser) and an iterative Expectation-Maximization (EM) algorithm to jointly refine human-like reasoning chains and their corresponding KG paths, thereby reducing hallucinations and enhancing interpretability. This approach synergizes LLMs and KGs by using LLMs as agents to interact with and ground reasoning in KGs." assertion.
- arXiv.2505.20971 describes ReasonAlignRespond assertion.
- arXiv.2505.20971 discusses ToG assertion.
- arXiv.2505.20971 discusses StructGPT assertion.
- arXiv.2505.20971 discusses RoG assertion.
- arXiv.2505.20971 discusses GraftNet assertion.
- arXiv.2505.20971 discusses GCR assertion.
- arXiv.2505.20971 discusses KDCoT assertion.
- arXiv.2505.20971 discusses NSM assertion.
- arXiv.2505.20971 discusses SRNSM assertion.
- arXiv.2505.20971 discusses ReaRev assertion.
- arXiv.2505.20971 discusses EWEKQA assertion.
- arXiv.2505.20971 discusses EffiQA assertion.
- arXiv.2505.20971 discusses GNNRAGRA assertion.
- ReasonAlignRespond subject SynergizedReasoning assertion.
- arXiv.2505.20971 title "Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA" assertion.
- ReasonAlignRespond hasTopCategory SynergizedLLMKG assertion.