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Ido Hakimi
Observed name:
Hakimi, Ido
Institution:
ETH Zurich
Observed institution:
ETH Zurich
OpenAlex ID:
A5111396952
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
2026
·
Alejandro Hernández-Cano
, Alexander Hägele
, et al.
·
Annual Meeting of the Association for Computational Linguistics (ACL)
·
17
PDF
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
2025
·
Jakub Macina
, Nico Daheim
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
17
PDF
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
2025
·
David Dinucu-Jianu
, Jakub Macina
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
5
PDF
Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
2025
·
Hübotter, Jonas
, Diaz-Bone, Leander
, et al.
·
arXiv (Cornell University)
·
1
PDF
EPIG-Tree: Compute-Optimal Branching for Gradient-Efficient Reinforcement Learning
2026
·
Khomich, Nikita
, Hermansson, Leopold
, et al.
·
arXiv (Cornell University)
PDF
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
2026
·
Association for Computational Linguistics 2026
, AlKhamissi, Badr
, et al.
·
Underline Science Inc.
Majority Voting for Code Generation
2026
·
Launer, Tim
, Hübotter, Jonas
, et al.
·
arXiv (Cornell University)
PDF
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
2026
·
Melikidze, Davit
, Schneider, Marian
, et al.
·
arXiv (Cornell University)
PDF
RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models
2026
·
Yang, Daniel
, Stante, Samuel
, et al.
·
arXiv (Cornell University)
PDF
Reinforcement Learning via Self-Distillation
2026
·
Hübotter, Jonas
, Lübeck, Frederike
, et al.
·
arXiv (Cornell University)
PDF
Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning
2025
·
Otth, Matthias
, Hübotter, Jonas
, et al.
·
arXiv (Cornell University)
PDF
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
2025
·
Dinucu-Jianu, David
, Macina, Jakub
, et al.
·
arXiv (Cornell University)
PDF
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
2025
·
Bertolissi, Ryo
, Hübotter, Jonas
, et al.
·
Repository for Publications and Research Data (ETH Zurich)
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Works count:
18
Citation count:
41
H-index:
3
I10-index:
2
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