Edward Ajayi

Edward Ajayi

Machine Learning Engineer · NLP Research Associate

Spatial & Language Technologies Lab • Carnegie Mellon University

MSc in Engineering Artificial Intelligence, CMU '26

Social Intelligence in AI Multi-Agent Systems Computational Humor LLM Reasoning & Evaluation

About

I am a Research Associate at the Spatial and Language Technologies Lab at Carnegie Mellon University. My research focuses on Human-AI Collaboration, Multi-Agent Systems, Social Intelligence in AI, and LLM Evaluation. As language models evolve from conversational chatbots into autonomous agents, effective collaboration requires far more than task completion—it demands understanding the unstated dynamics of interaction, inferring partner intent and beliefs, and navigating complex social environments. In this pursuit, I also investigate Computational Humor (generation, detection, and evaluation) as a vital element of natural human-AI interaction, developing cognitively grounded methods that make interactive agentic systems more robust, aligned, and trustworthy.

I build research frameworks and benchmarks for studying these problems in LLMs. I am the creator of HumorGen, a framework for cognitively grounded humor generation with 1,000+ model downloads on Hugging Face, HumorRank, and SIDE-Bench, a benchmark for evaluating social interaction and conversational behavior in multi-agent systems. More broadly, I develop reusable methods for LLM evaluation, social intelligence, reasoning, and understanding language model behavior.

Recent Publications

EMNLP 2026 Published

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation

E. Ajayi and P. Mitra
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026, Main Conference)
ICLR 2027 Under Review

SIDE-Bench: Evaluating Social Interaction and Conversational-Partner Intent in Multi-Agent Environments

Edward Ajayi, Joseph Karangwa, Baraka Manyara & Prasenjit Mitra
Under Review at The 15th International Conference on Learning Representations (ICLR 2027)
Winner, CLEF 2026 JOKER Task 4 CLEF 2026 Published

Cross-Lingual Cognitive Synergy for Constrained Humor Generation in Large Language Models

E. Ajayi and P. Mitra
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2026), CEUR Workshop Proceedings (CEUR-WS), pp. 4179–4194, 2026
Best Paper Award AAAI 2026 AIMedHealth Published

A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media

Edward Ajayi, Martha Kachweka, Mawuli Deku, and Emily Aiken
Proceedings of the Second AAAI Bridge Program on AI for Medicine and Healthcare, PMLR 317:15–26, 2026 (Oral)
DLI 2026 To Appear

Language Diversity: Evaluating Language Usage and AI Performance on African Languages in Digital Spaces

E. Ajayi, B. Tadele, E. Umwari, M. Deku, P. Singadi, C. Edeh, and J. Udahemuka
Deep Learning Indaba 2026 Research Track, IJCAI 2026 Proceedings
ARR Under Review

AfriEconQA: A Benchmark for Quantitative and Temporal Reasoning over World Bank Economic Reports

Edward Ajayi, Mustapha Alaba, David Stephen & Peace Bakare
Under Review at ACL Rolling Review (ARR)
ACM CSUR Under Review

Automatic Humor Detection: A Comprehensive Survey from Theoretical Foundations to Large Language Models

E. Ajayi and P. Mitra
Submitted to ACM Computing Surveys (CSUR)

Selected Projects

HumorGen: Open-Weight Computational Humor Generation

humorgen.pages.dev · Hugging Face Collection · 2026

Open-weight ecosystem for computational humor — six comedic personas, 14 LoRA adapters (EN · FR · ES), built with Cognitive Synergy distillation. Details in the HumorGen paper.

Humor LLM Open Weights Hugging Face

HumorRank: Humor Generation Leaderboard for LLMs

Live leaderboard · Web App · 2026

Tournament-based leaderboard web application for evaluating and benchmarking humor generation capabilities across modern LLMs. Details in the HumorRank paper.

Humor Evaluation LLM Leaderboard

Multilabel ML System for Mental Health & Cyberbullying Detection

PMLR 317:15–26 · AAAI AIMedHealth Bridge 2026 · Oral & Best Paper

End-to-end ML pipeline for multilabel detection of mental health conditions and cyberbullying using classical models and transformer-based embeddings.

Machine Learning NLP BERT AAAI-26 Oral

CMU-Africa NLP Research Group Portal

cmuafrica-nlpgroup.pages.dev · Web App · 2026

Official portal for the CMU-Africa NLP Research Group — featuring a public research showcase, member dashboard, and collaboration system for African language technologies.

NLP Research Community Web App African Languages

AfriEconQA: Quantitative & Temporal Reasoning Benchmark

afrieconqa.pages.dev · Benchmark · 2026

Specialized benchmark closing the "parametric knowledge gap" in AI economic analysis. 4,309 curated QA pairs from 220 World Bank African Reports (64,892 retrieval chunks).

Dataset Engineering LLM Evaluation RAG Benchmark

AI Workflow Automation Agent

EdGE AI Labs · Jul 2025

Autonomous agent for business process automation using Google Forms/Sheets, LangChain, and FastAPI with integrated email notifications and QA monitoring dashboard.

Python LangChain FastAPI RAG

Recent Highlights

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All News & Updates
Sep 2026

CLEF 2026 Presentation

Our paper Cross-Lingual Cognitive Synergy for Constrained Humor Generation in Large Language Models was presented at CLEF 2026 in Jena, Germany.

Aug 2026

EMNLP 2026 Acceptance

Our paper HumorGen was accepted to the Main Conference at EMNLP 2026.

Jul 2026

CLEF 2026 JOKER Winner

Our submission won the CLEF 2026 JOKER Task 4: Humor Generation across English, French, and Spanish.

Jun 2026

Research & Engineering Role

Started as an NLP Research Associate at the SaLT Lab at Carnegie Mellon University.

May 2026

CMU-Africa NLP Talk

Gave a talk with CMU-Africa NLP on "Beyond the Transformer: How Modern NLP Research actually uses Foundation Models".

Feb 2026

Best Paper Award

Mental health & cyberbullying detection paper received Best Paper Award at AAAI AIMedHealth 2026.

Seeking PhD Opportunities

Social Intelligence in AI Multi-Agent Systems LLM Reasoning & Evaluation

I am actively applying to PhD programs to advance research in socially intelligent AI that communicates with social awareness, reasons robustly across contexts, and collaborates effectively with humans—moving toward cognitively grounded machine intelligence.