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Home/Authors/Teodora Kamova

Teodora Kamova

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2NLP×2ML×2Multimedia×2

Frequent co-authors

Anisha Saha2×
Varsha Suresh2×
Sophia Wiedmann2×
Timothy Hospedales2×
Vera Demberg2×

Research Timeline

2026
MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization

The paper introduces MuPHI, a dataset and MuPHIRM, a reasoning-augmented training framework, to improve Vision-Language Models' ability to detect and reason about subtle, context-dependent multimodal harm.

MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization

The paper introduces MuPHI, a dataset and MuPHIRM, a reasoning-augmented training framework, to improve Vision-Language Models' ability to detect and reason about subtle, context-dependent multimodal harm.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.CLcs.LGRecentMay 28, 2026

MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization

Anisha Saha, Varsha Suresh, Teodora Kamova, Sophia Wiedmann +2 more

The paper introduces MuPHI, a dataset and MuPHIRM, a reasoning-augmented training framework, to improve Vision-Language Models' ability to detect and reason about subtle, context-dependent multimodal…

View →
cs.AIcs.CLcs.LGRecentMay 28, 2026

MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization

Anisha Saha, Varsha Suresh, Teodora Kamova, Sophia Wiedmann +2 more

The paper introduces MuPHI, a dataset and MuPHIRM, a reasoning-augmented training framework, to improve Vision-Language Models' ability to detect and reason about subtle, context-dependent multimodal…

View →