Peter Belcak - RankMe

21 papers A* 1C 2Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization. CoRR Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov
2025	J	`jnl`	CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. CoRR Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan Su, Markus Kliegl, Zijia Chen, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan Lin, Jan Kautz, Pavlo Molchanov
2025	J	`jnl`	Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation. CoRR Peter Belcak, Greg Heinrich, Jan Kautz, Pavlo Molchanov
2025	J	`jnl`	Small Language Models are the Future of Agentic AI. CoRR Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov
2025	—	`conf`	Text Compression for Efficient Language Generation. NAACL (Student Research Workshop) David Gu, Peter Belcak, Roger Wattenhofer
2025	J	`jnl`	Text Compression for Efficient Language Generation. CoRR David Gu, Peter Belcak, Roger Wattenhofer
2025	J	`jnl`	ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration. CoRR Hongjin Su, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov
2025	J	`jnl`	Universal Deep Research: Bring Your Own Model and Strategy. CoRR Peter Belcak, Pavlo Molchanov
2024	—	`—`	Differentiable Approximation of Discreteness for Interpretable and Efficient Deep Learning. Peter Belcak
2024	J	`jnl`	Tiny Transformers Excel at Sentence Compression. CoRR Peter Belcak, Roger Wattenhofer
2024	—	`conf`	UltraSparseBERT: 99% Conditionally Sparse Language Modelling. ACL (Short Papers) Peter Belcak, Roger Wattenhofer
2023	J	`jnl`	Exponentially Faster Language Modelling. CoRR Peter Belcak, Roger Wattenhofer
2023	J	`jnl`	Fast Feedforward Networks. CoRR Peter Belcak, Roger Wattenhofer
2022	C	`conf`	A Neural Model for Regular Grammar Induction. ICMLA Peter Belcak, David Hofer, Roger Wattenhofer
2022	—	`conf`	Deterministic Graph-Walking Program Mining. ADMA (1) Peter Belcak, Roger Wattenhofer
2022	J	`jnl`	Deterministic Graph-Walking Program Mining. CoRR Peter Belcak, Roger Wattenhofer
2022	A*	`conf`	FACT: Learning Governing Abstractions Behind Integer Sequences. NeurIPS Peter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer
2022	J	`jnl`	Neural Combinatorial Logic Circuit Synthesis from Input-Output Examples. CoRR Peter Belcak, Roger Wattenhofer
2022	—	`conf`	Periodic Extrapolative Generalisation in Neural Networks. SSCI Peter Belcak, Roger Wattenhofer
2021	C	`conf`	Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects. MABS Peter Belcak, Jan-Peter Calliess, Stefan Zohren
2020	J	`jnl`	Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects. CoRR Peter Belcak, Jan-Peter Calliess, Stefan Zohren