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AI & ML interests

Explainable AI, Rule-based models, Rule learning with LLMs, Hallucination detection, Fact checking LLMs

Recent Activity
adaamko  updated a collection about 24 hours ago
LettuceDetect v2
adaamko  updated a model 2 days ago
KRLabsOrg/lettucedect-v2-qwen-2b
adaamko  updated a model 15 days ago
KRLabsOrg/lettucedect-610m-eurobert-pl-v1
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Papers

RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules

ACL-Verbatim: hallucination-free question answering for research

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KRLabsOrg 's collections 8

Hallucination detection
LettuceDetect v1. Trained ModernBERT (base and large) for detection hallucinations in LLM responses. The models are trained as token classifications.
Multilingual Hallucination Detection
These are our EuroBERT fine-tunes on our translated RAGTruth datasets.
TinyLettuce
This Collection contains our small, Ettin-encoder (https://arxiv.org/abs/2507.11412) based models trained on synthetic and RagTruth data.
Hallucination detection
LettuceDetect v1. Trained ModernBERT (base and large) for detection hallucinations in LLM responses. The models are trained as token classifications.
TinyLettuce
This Collection contains our small, Ettin-encoder (https://arxiv.org/abs/2507.11412) based models trained on synthetic and RagTruth data.
Multilingual Hallucination Detection
These are our EuroBERT fine-tunes on our translated RAGTruth datasets.