Hugging Face's logo
Activity Feed

AI & ML interests

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

Recent Activity
adaamko  updated a model about 22 hours ago
KRLabsOrg/lettucedect-v2-qwen-2b
adaamko  updated a model about 22 hours ago
KRLabsOrg/lettucedect-v2-taxonomy-head
adaamko  updated a model about 22 hours ago
KRLabsOrg/lettucedect-v2-mmbert-base
View all activity

Papers

RuleChef: Grounding LLM Task Knowledge in Human-Editable Rules

ACL-Verbatim: hallucination-free question answering for research

View all Papers

KRLabsOrg 's collections 8

LettuceDetect v2
SOTA hallucination detection for agentic workflows, multilingual, long context
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.
LettuceDetect v2
SOTA hallucination detection for agentic workflows, multilingual, long context
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.