2 citations · 2 across the 3 of their papers we have counts for
6 papers
S-Path-RAG: Semantic-Aware Shortest-Path Retrieval Augmented Generation for Multi-Hop Knowledge Graph Question Answering
Rong Fu, Yemin Wang, Tianxiang Xu +5
We present S-Path-RAG, a semantic-aware shortest-path Retrieval-Augmented Generation framework designed to improve multi-hop question answering over large knowledge graphs. S-Path-…
Lyria: A Genetic Algorithm-Driven Neuro-Symbolic Reasoning Framework for LLMs
Weizhi Tang, Kwabena Nuamah, Vaishak Belle
While LLMs have demonstrated impressive abilities across various domains, they struggle with two major issues. The first is that LLMs trap themselves into local optima and the seco…
LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language Models
Weizhi Tang, Kwabena Nuamah, Vaishak Belle
Temporal Reasoning (TR) is a critical ability for LLMs to understand and reason over temporal information and relationships between events. To study the TR ability in LLMs, prior w…
HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation
Weizhi Tang, Yixuan Li, Chris Sypherd +2
Grammar plays a critical role in natural language processing and text/code generation by enabling the definition of syntax, the creation of parsers, and guiding structured outputs.…
ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
Weizhi Tang, Vaishak Belle
Theory of Mind (ToM) refers to the ability of individuals to attribute mental states to others. While Large Language Models (LLMs) have shown some promise with ToM ability, they st…
Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language Models
Weizhi Tang, Vaishak Belle
Large Language Models (LLMs) have recently shown a promise and emergence of Theory of Mind (ToM) ability and even outperform humans in certain ToM tasks. To evaluate and extend the…