Entity · paper

Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion

paperactiveprovisionaldual-path-llm-reasoning-for-multimodal-few-shot-knowledge-graph-completion-a70e4f3c·1 events·first seen 25h ago

Aliases: Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion

Co-occurring entities

DuPLeR

More like this (12)

Knowledge-Graph Grounding Helps LLMs Only for Out-of-Training Knowledge: A Controlled Study on Clinical Question Answering A Training-Free Mixture-of-Agents Framework for Multi-Document Summarization using LLMs and Knowledge Graphs DualG-MRAG: Decoupling Macro-Reasoning and Micro-Matching for Multimodal Retrieval-Augmented Generation Modality-Informed Reciprocal Reasoning Optimization Co-Learning for Missing Arbitrary Modalities in Multi-modal Classification Grounding LLM Reasoning under Incomplete Graph Evidence Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs ICML 2026 Workshop on Efficient Multimodal Question Answering CheckRLM: Effective Knowledge-Thought Coherence Checking in Retrieval-Augmented Reasoning Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs Latent World Recovery for Multimodal Learning with Missing Modalities Multi-Task Bayesian In-Context Learning

Recent events (1)

4arXiv · cs.CL·25h ago·source ↗

DuPLeR: Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion

Researchers introduce DuPLeR, a dual-path LLM reasoning framework for multimodal few-shot knowledge graph completion (KGC). The system addresses inductive KGC under data-scarce conditions by combining multimodal LLM-derived type priors with factual support structures and a dual-pathway module that regulates message passing with query-relevant multimodal signals. Experiments across eight inductive variants of two multimodal KG benchmarks demonstrate robust performance in few-shot and zero-shot settings.

Evaluation and Benchmarking Multimodal Progress DuPLeR Dual-Path LLM Reasoning for Multimodal Few-Shot Knowledge Graph Completion