most citedRule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2025

A Translation of Probabilistic Event Calculus into Markov Decision Processes

Lyris Xu, Fabio Aurelio D'Asaro, Luke Dickens

Probabilistic Event Calculus (PEC) is a logical framework for reasoning about actions and their effects in uncertain environments, which enables the representation of probabilistic…

cs.CL2025

RESPONSE: Benchmarking the Ability of Language Models to Undertake Commonsense Reasoning in Crisis Situation

Aissatou Diallo, Antonis Bikakis, Luke Dickens +2

An interesting class of commonsense reasoning problems arises when people are faced with natural disasters. To investigate this topic, we present \textsf{RESPONSE}, a human-curated…

cs.CL2025★ 1 cited

Rule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models

Aissatou Diallo, Antonis Bikakis, Luke Dickens +2

In this paper, we introduce Rule-Guided Feedback (RGF), a framework designed to enhance Large Language Model (LLM) performance through structured rule adherence and strategic infor…

cs.CL2025

IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates

Aissatou Diallo, Antonis Bikakis, Luke Dickens +2

While Large Language Models (LLMs) demonstrate impressive reasoning capabilities, understanding and validating their knowledge utilization remains challenging. Chain-of-thought (Co…

cs.AI2024

Measuring Error Alignment for Decision-Making Systems

Binxia Xu, Antonis Bikakis, Daniel Onah +2

Given that AI systems are set to play a pivotal role in future decision-making processes, their trustworthiness and reliability are of critical concern. Due to their scale and comp…

cs.CL2024★ 1 cited

Unsupervised Learning of Graph from Recipes

Aissatou Diallo, Antonis Bikakis, Luke Dickens +2

Cooking recipes are one of the most readily available kinds of procedural text. They consist of natural language instructions that can be challenging to interpret. In this paper, w…

cs.CL2024

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes

Aissatou Diallo, Antonis Bikakis, Luke Dickens +2

Understanding procedural texts, such as cooking recipes, is essential for enabling machines to follow instructions and reason about tasks, a key aspect of intelligent reasoning. In…