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Peter Belcak
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2020 – today
- 2026
[i17]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:
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization. CoRR abs/2601.05242 (2026)- 2025
[c7]David Gu, Peter Belcak, Roger Wattenhofer:
Text Compression for Efficient Language Generation. NAACL (Student Research Workshop) 2025: 186-192
[i16]David Gu, Peter Belcak, Roger Wattenhofer:
Text Compression for Efficient Language Generation. CoRR abs/2503.11426 (2025)
[i15]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:
CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training. CoRR abs/2504.13161 (2025)
[i14]Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov:
Small Language Models are the Future of Agentic AI. CoRR abs/2506.02153 (2025)
[i13]Peter Belcak, Greg Heinrich, Jan Kautz, Pavlo Molchanov:
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation. CoRR abs/2506.15702 (2025)
[i12]Peter Belcak, Pavlo Molchanov:
Universal Deep Research: Bring Your Own Model and Strategy. CoRR abs/2509.00244 (2025)
[i11]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:
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration. CoRR abs/2511.21689 (2025)- 2024
[b1]Peter Belcak:
Differentiable Approximation of Discreteness for Interpretable and Efficient Deep Learning. ETH Zurich, Zürich, Switzerland, 2024
[c6]Peter Belcak, Roger Wattenhofer:
UltraSparseBERT: 99% Conditionally Sparse Language Modelling. ACL (Short Papers) 2024: 104-108
[i10]Peter Belcak, Roger Wattenhofer:
Tiny Transformers Excel at Sentence Compression. CoRR abs/2410.23510 (2024)- 2023
[i9]Peter Belcák, Luca A. Lanzendörfer, Roger Wattenhofer:
Examining the Emergence of Deductive Reasoning in Generative Language Models. CoRR abs/2306.01009 (2023)
[i8]Peter Belcak, Roger Wattenhofer:
Fast Feedforward Networks. CoRR abs/2308.14711 (2023)
[i7]Peter Belcak, Roger Wattenhofer:
Exponentially Faster Language Modelling. CoRR abs/2311.10770 (2023)- 2022
[c5]Peter Belcak, Roger Wattenhofer:
Deterministic Graph-Walking Program Mining. ADMA (1) 2022: 457-471
[c4]Peter Belcak, David Hofer, Roger Wattenhofer:
A Neural Model for Regular Grammar Induction. ICMLA 2022: 401-406
[c3]Peter Belcak, Ard Kastrati, Flavio Schenker, Roger Wattenhofer:
FACT: Learning Governing Abstractions Behind Integer Sequences. NeurIPS 2022
[c2]Peter Belcak, Roger Wattenhofer:
Periodic Extrapolative Generalisation in Neural Networks. SSCI 2022: 1066-1073
[i6]Peter Belcak, Roger Wattenhofer:
Deterministic Graph-Walking Program Mining. CoRR abs/2208.10290 (2022)
[i5]Peter Belcák, Ard Kastrati, Flavio Schenker, Roger Wattenhofer:
FACT: Learning Governing Abstractions Behind Integer Sequences. CoRR abs/2209.09543 (2022)
[i4]Peter Belcák, Roger Wattenhofer:
Periodic Extrapolative Generalisation in Neural Networks. CoRR abs/2209.10280 (2022)
[i3]Peter Belcák, David Hofer, Roger Wattenhofer:
A Neural Model for Regular Grammar Induction. CoRR abs/2209.11628 (2022)
[i2]Peter Belcak, Roger Wattenhofer:
Neural Combinatorial Logic Circuit Synthesis from Input-Output Examples. CoRR abs/2210.16606 (2022)- 2021
[c1]Peter Belcak, Jan-Peter Calliess, Stefan Zohren:
Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects. MABS 2021: 42-56- 2020
[i1]Peter Belcak, Jan-Peter Calliess, Stefan Zohren:
Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects. CoRR abs/2008.07871 (2020)
Coauthor Index

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last updated on 2026-02-18 23:38 CET by the dblp team
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