Liyan Tang
lytang
AI & ML interests
UT Austin, focusing on NLP
Recent Activity
upvoted a paper 2 days ago
Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents updated
a dataset 5 months ago
lytang/ChartMuseum upvoted a paper 9 months ago
OpenThoughts: Data Recipes for Reasoning Models Organizations
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
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MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Paper • 2404.10774 • Published • 6 -
lytang/LLM-AggreFact
Viewer • Updated • 59.7k • 436 • 29 -
bespokelabs/Bespoke-MiniCheck-7B
Text Classification • 8B • Updated • 5.48k • 79 -
lytang/MiniCheck-Flan-T5-Large
Text Classification • Updated • 2.32k • • 13
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
-
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Paper • 2404.10774 • Published • 6 -
lytang/LLM-AggreFact
Viewer • Updated • 59.7k • 436 • 29 -
bespokelabs/Bespoke-MiniCheck-7B
Text Classification • 8B • Updated • 5.48k • 79 -
lytang/MiniCheck-Flan-T5-Large
Text Classification • Updated • 2.32k • • 13