1 citations · 3 across the 12 of their papers we have counts for
14 papers
MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL
Ulixes Tariq Hawili, Subramanian Ramamoorthy, Yoann Altmann +1
We present MARL-BattleGrounds (MARL-BGs), an easy-to-use JAX-native benchmark for heterogeneous and competitive multi-agent reinforcement learning (MARL), designed to be sample-eff…
Pairwise Logical Selection of Enthymeme Completions under Semantic-Link Uncertainty
Xuyao Feng, Antonis Bikakis
Arguments often omit premises or claims, forming enthymemes. We study pairwise logical selection between two candidates for the omitted component. Existing natural language methods…
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…
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…
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…
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…
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…
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…
A Unifying Framework for Learning Argumentation Semantics
Zlatina Mileva, Antonis Bikakis, Fabio Aurelio D'Asaro +2
Argumentation is a very active research field of Artificial Intelligence concerned with the representation and evaluation of arguments used in dialogues between humans and/or artif…
A Graphical Formalism for Commonsense Reasoning with Recipes
Antonis Bikakis, Aissatou Diallo, Luke Dickens +2
Whilst cooking is a very important human activity, there has been little consideration given to how we can formalize recipes for use in a reasoning framework. We address this need…
Repurposing of Resources: from Everyday Problem Solving through to Crisis Management
Antonis Bikakis, Luke Dickens, Anthony Hunter +1
The human ability to repurpose objects and processes is universal, but it is not a well-understood aspect of human intelligence. Repurposing arises in everyday situations such as f…
On the Effects of Knowledge-Augmented Data in Word Embeddings
Diego Ramirez-Echavarria, Antonis Bikakis, Luke Dickens +2
This paper investigates techniques for knowledge injection into word embeddings learned from large corpora of unannotated data. These representations are trained with word cooccurr…
Contextual and Possibilistic Reasoning for Coalition Formation
Antonis Bikakis, Patrice Caire
In multiagent systems, agents often have to rely on other agents to reach their goals, for example when they lack a needed resource or do not have the capability to perform a requi…
Foundations for a Probabilistic Event Calculus
Fabio Aurelio D'Asaro, Antonis Bikakis, Luke Dickens +1
We present PEC, an Event Calculus (EC) style action language for reasoning about probabilistic causal and narrative information. It has an action language style syntax similar to t…