Search Results for author: Robin Cohen

Found 16 papers, 6 papers with code

Rumour Evaluation with Very Large Language Models

1 code implementation11 Apr 2024 Dahlia Shehata, Robin Cohen, Charles Clarke

To the end, we employ two prompting-based LLM variants (GPT-3. 5-turbo and GPT-4) to extend the two RumourEval subtasks: (1) veracity prediction, and (2) stance classification.

Misinformation Prompt Engineering +2

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media

1 code implementation18 Jul 2023 Liam Hebert, Gaurav Sahu, Yuxuan Guo, Nanda Kishore Sreenivas, Lukasz Golab, Robin Cohen

We present the Multi-Modal Discussion Transformer (mDT), a novel methodfor detecting hate speech in online social networks such as Reddit discussions.

FedFormer: Contextual Federation with Attention in Reinforcement Learning

1 code implementation27 May 2022 Liam Hebert, Lukasz Golab, Pascal Poupart, Robin Cohen

We evaluate our methods on the Meta-World environment and find that our approach yields significant improvements over FedAvg and non-federated Soft Actor-Critic single-agent methods.

Federated Learning reinforcement-learning +1

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management

no code implementations11 Nov 2021 Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen

In this paper, we present an approach for predicting trust links between peers in social media, one that is grounded in the artificial intelligence area of multiagent trust modeling.

Management Misinformation +1

Towards A Multi-agent System for Online Hate Speech Detection

no code implementations3 May 2021 Gaurav Sahu, Robin Cohen, Olga Vechtomova

This paper envisions a multi-agent system for detecting the presence of hate speech in online social media platforms such as Twitter and Facebook.

Hate Speech Detection

Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations

no code implementations10 Oct 2020 Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki

Based on the results, we distill twelve practical design recommendations for AV visual signals, with focus on signal pattern design and placement.

Autonomous Vehicles Persuasiveness

A two-level solution to fight against dishonest opinions in recommendation-based trust systems

no code implementations9 Jun 2020 Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Hadi Otrok, Azzam Mourad

In this paper, we propose a mechanism to deal with dishonest opinions in recommendation-based trust models, at both the collection and processing levels.

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

1 code implementation17 Sep 2019 Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven Waslander

Inter-vehicle communication for autonomous vehicles (AVs) stands to provide significant benefits in terms of perception robustness.

Autonomous Vehicles

Annotation of Rhetorical Moves in Biochemistry Articles

no code implementations WS 2019 Mohammed Alliheedi, Robert E. Mercer, Robin Cohen

In particular, we conduct a detailed study with human annotators to confirm that our selection of semantic roles is effective in determining the underlying rhetorical structure of existing biomedical articles in an extensive dataset.


Online abuse detection: the value of preprocessing and neural attention models

1 code implementation WS 2019 Dhruv Kumar, Robin Cohen, Lukasz Golab

We propose an attention-based neural network approach to detect abusive speech in online social networks.

Abuse Detection

Investigating the Characteristics of One-Sided Matching Mechanisms Under Various Preferences and Risk Attitudes

no code implementations1 Mar 2017 Hadi Hosseini, Kate Larson, Robin Cohen

One-sided matching mechanisms are fundamental for assigning a set of indivisible objects to a set of self-interested agents when monetary transfers are not allowed.

Random Serial Dictatorship versus Probabilistic Serial Rule: A Tale of Two Random Mechanisms

no code implementations4 Mar 2015 Hadi Hosseini, Kate Larson, Robin Cohen

For assignment problems where agents, specifying ordinal preferences, are allocated indivisible objects, two widely studied randomized mechanisms are the Random Serial Dictatorship (RSD) and Probabilistic Serial Rule (PS).

A Coordinated MDP Approach to Multi-Agent Planning for Resource Allocation, with Applications to Healthcare

no code implementations7 Jul 2014 Hadi Hosseini, Jesse Hoey, Robin Cohen

This paper considers a novel approach to scalable multiagent resource allocation in dynamic settings.

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