Papers by Suhaib Abdurahman
Predicting Responses to Psychological Questionnaires from Participants’ Social Media Posts and Question Text Embeddings (2020.findings-emnlp)
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| Challenge: | Existing data cannot be used to predict responses for new questions or participants. |
| Approach: | They propose a method that uses social media texts and the text of the question to predict a participant's questionnaire response. |
| Outcome: | The proposed method can be used to integrate new participants or new questions into psychological studies without costly data collection. |
Explicit Trait Inference for Multi-Agent Coordination (2026.acl-long)
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| Challenge: | Large language model (LLM) based multi-agent systems (MAS) show promise on complex tasks but remain prone to failures of coordination, such as goal drift, error cascades, and misaligned behaviors. |
| Approach: | They propose a psychologically grounded method for improving coordination using Explicit Trait Inference (ETI) ETI enables agents to infer and track partner characteristics along two established psychological dimensions—warmth (e.g., trust) and competence (eg. skill) |
| Outcome: | The proposed method reduces payoff loss in controlled and realistic multi-agent settings by 45–77% and improves performance by 3–29% depending on scenario and model. |