activity
20222026
most citedThe KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

SIC-Agents: Benchmarking and Building an Adaptive Simulator for Pediatric Serious Illness Communication Training

Zihan Wang, Anita Marie Slominska, Rennie Bimman +10

Pediatric serious illness communication (SIC) is critically important, yet scalable communication training for clinicians remains limited. Compared with other dialogue simulation s…

cs.CY2025

Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring

Wenhao Xu, Akshatha Arodi, Jian-Yun Nie +1

Modern slavery affects millions of people worldwide, and regulatory frameworks such as Modern Slavery Acts now require companies to publish detailed disclosures. However, these sta…

cs.CV2025

OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection

Victor Livernoche, Akshatha Arodi, Andreea Musulan +5

Deepfakes, synthetic media created using advanced AI techniques, pose a growing threat to information integrity, particularly in politically sensitive contexts. This challenge is a…

cs.CY2025★ 1 cited

AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions

Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang +6

Modern Slavery Acts mandate that corporations disclose their efforts to combat modern slavery, aiming to enhance transparency and strengthen practices for its eradication. However,…

cs.CV2024

CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset

Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani +5

Machine learning models are increasingly being deployed in real-world contexts. However, systematic studies on their transferability to specific and critical applications are under…

cs.CL2022★ 2 cited

The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems

Akshatha Arodi, Martin Pömsl, Kaheer Suleman +3

Many state-of-the-art natural language understanding (NLU) models are based on pretrained neural language models. These models often make inferences using information from multiple…