Steerable Multi-Objective Group-Relative Preference Optimization with Jointly Trained Low-Rank Adapters Paper • 2611.09634 • Published 4 days ago • 7
Steerable Multi-Objective Group-Relative Preference Optimization with Jointly Trained Low-Rank Adapters Paper • 2611.09634 • Published 4 days ago • 7
Steerable Multi-Objective Group-Relative Preference Optimization with Jointly Trained Low-Rank Adapters Paper • 2611.09634 • Published 4 days ago • 7
efficient-reasoning Collection Models from "Efficient Reasoning Training Does Not Always Harm CoT Faithfulness and Monitorability". • 10 items • Updated Oct 5 • 2
Efficient Reasoning Training Does Not Always Harm CoT Faithfulness and Monitorability Paper • 2610.03509 • Published Oct 2 • 15
Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior Paper • 2609.39827 • Published Sep 30 • 11
Logic Before Language: Pre-pretraining on Formal Derivations Fosters Skill Acquisition and Compressibility Paper • 2608.03930 • Published Aug 4 • 10
UDALM: Unsupervised Domain Adaptation through Language Modeling Paper • 2104.07078 • Published Apr 14, 2021 • 1
Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models Paper • 2602.08658 • Published Feb 9 • 13
No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding Paper • 2602.03709 • Published Feb 3 • 8
UDALM: Unsupervised Domain Adaptation through Language Modeling Paper • 2104.07078 • Published Apr 14, 2021 • 1
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift Paper • 2601.05882 • Published Jan 9 • 21
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift Paper • 2601.05882 • Published Jan 9 • 21
Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks Paper • 2601.03448 • Published Jan 6 • 13
view article Article We Got Claude to Fine-Tune an Open Source LLM burtenshaw, evalstate • Dec 4, 2025 • 636