amir-hameed-mir/Sirraya_LSD_Code
Layer-wise Semantic Dynamics (LSD) is a model-agnostic framework for hallucination detection in Large Language Models (LLMs). It analyzes the geometric evolution of hidden-state semantics across transformer layers, using contrastive alignment between model activations and ground-truth embeddings to detect factual drift and semantic inconsistency.
Stars
6
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/amir-hameed-mir/Sirraya_LSD_Code"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vectara/hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
PKU-YuanGroup/Hallucination-Attack
Attack to induce LLMs within hallucinations
NishilBalar/Awesome-LVLM-Hallucination
up-to-date curated list of state-of-the-art Large vision language models hallucinations...
Amirhosein-gh98/Gnosis
Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits
MemTensor/HaluMem
HaluMem is the first operation level hallucination evaluation benchmark tailored to agent memory systems.