Mirac Süzgün

1. Scaling Instruction-Finetuned Language Models
   2022/10/20 by Hyung Won Chung, Le Hou, Chung, Hyung Won +62 · 238 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
2. Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
   2024/01/23 by Mirac Süzgün, Mirac Suzgun, Suzgun, Mirac +2 · 2 voices · 23 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Human-Computer Interaction (cs.HC) #Topic Modeling #cs.AI #cs.CL #cs.HC
3. Language Models are Multilingual Chain-of-Thought Reasoners
   2022/10/06 by Freda Shi, Shi, Freda, Mirac Süzgün +20 · 59 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
4. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
   2023/09/14 by Federico Bianchi, Mirac Suzgun, Mirac Süzgün +12 · 2 voices · 49 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL
5. The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
   2022/07/08 by Mirac Süzgün, Luke Melas-Kyriazi, Suzgun, Mirac +7 · 6 citations
   Business, Management and Accounting · Economics, Econometrics and Finance · #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Innovation Policy and R&D #Intellectual Property and Patents #Machine Learning (cs.LG)
6. Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
   2022/11/14 by Mirac Süzgün, Suzgun, Mirac, Luke Melas-Kyriazi +3 · 5 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
7. On Evaluating the Generalization of LSTM Models in Formal Languages
   2018/11/02 by Mirac Süzgün, Yonatan Belinkov, Suzgun, Mirac +3 · 2 citations
   Computer Science · #Topic Modeling #Natural Language Processing Techniques #Machine Learning and Algorithms
8. Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages
   2019/11/08 by Mirac Süzgün, Suzgun, Mirac, Sebastian Gehrmann +5 · 3 citations
   Computer Science · Social Sciences · #Music and Audio Processing #Natural Language Processing Techniques #Language and cultural evolution