12 citations · 25 across the 16 of their papers we have counts for
4 papers · 1 filter
Explaining the Reasoning of Large Language Models Using Attribution Graphs
Chase Walker, Rickard Ewetz
Large language models (LLMs) exhibit remarkable capabilities, yet their reasoning remains opaque, raising safety and trust concerns. Attribution methods, which assign credit to inp…
Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis
Dominic Simon, Rickard Ewetz
Large Language Models (LLMs) require lightweight avenues of updating stored information that has fallen out of date. Knowledge Editing (KE) approaches have been successful in updat…
NSP: A Neuro-Symbolic Natural Language Navigational Planner
William English, Dominic Simon, Sumit Jha +1
Path planners that can interpret free-form natural language instructions hold promise to automate a wide range of robotics applications. These planners simplify user interactions a…
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving
Sumit Kumar Jha, Susmit Jha, Patrick Lincoln +4
Generative large language models (LLMs) with instruct training such as GPT-4 can follow human-provided instruction prompts and generate human-like responses to these prompts. Apart…