Foundation-Preserving Optimization in Generalized Eigenspace
cs.LG, cs.AI
Submitted: 2026-05-28
Updated: 2026-09-29
Terminology
Sources
- Program Synthesis with Large Language Models
- Language Models are Few-Shot Learners
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Measuring Mathematical Problem Solving With the MATH Dataset
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- Fine-Tuning is Fine, if Calibrated
- Training language models to follow instructions with human feedback
- Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- RL's Razor: Why Online Reinforcement Learning Forgets Less
- Kimi K2.5: Visual Agentic Intelligence
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
- MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
- The Effect of Attention Head Count on Transformer Approximation
- Are Transformers universal approximators of sequence-to-sequence functions?
- GLM-5: from Vibe Coding to Agentic Engineering
- Instruction-Following Evaluation for Large Language Models
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