activity
20242026
most citedFinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking

1 citations · 3 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CR2026

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces

William Lugoloobi, Samuelle Marro, Jabez Magomere +2

As LLM-based agents increasingly browse the web on users' behalf, a natural question arises: can websites passively identify which underlying model powers an agent? Doing so would…

cs.AI2026

Distill and Align Decomposition for Enhanced Claim Verification

Jabez Magomere, Elena Kochkina, Samuel Mensah +6

Complex claim verification requires decomposing sentences into verifiable subclaims, yet existing methods struggle to align decomposition quality with verification performance. We…

cs.CL2025

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou +39

Evaluating large language models (LLMs) is crucial for both assessing their capabilities and identifying safety or robustness issues prior to deployment. Reliably measuring abstrac…

cs.CL2025

A Variational Approach for Mitigating Entity Bias in Relation Extraction

Samuel Mensah, Elena Kochkina, Jabez Magomere +3

Mitigating entity bias is a critical challenge in Relation Extraction (RE), where models often rely excessively on entities, resulting in poor generalization. This paper presents a…

cs.CL2025★ 1 cited

FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking

Jabez Magomere, Elena Kochkina, Samuel Mensah +2

We introduce FinNLI, a benchmark dataset for Financial Natural Language Inference (FinNLI) across diverse financial texts like SEC Filings, Annual Reports, and Earnings Call transc…

cs.CL2025

Scaling Crowdsourced Election Monitoring: Construction and Evaluation of Classification Models for Multilingual and Cross-Domain Classification Settings

Jabez Magomere, Scott Hale

The adoption of crowdsourced election monitoring as a complementary alternative to traditional election monitoring is on the rise. Yet, its reliance on digital response volunteers…