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Awesome optimization β curated papers, datasets & benchmarks Β· Awesome AI for Code
β all topics
overview
optimization
14 papers tagged optimization β re-sort below
Papers
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14 papers Β· trending (default)
numbers = π₯ heat
SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe
(2026)
Yifei Shen et al.
2.00
DrugGen 2: A disease-aware language model for enhancing drug discovery
(2026)
Ali Motahharynia et al.
2.00
FastKernels: Benchmarking GPU Kernel Generation in Production
(2026)
Gabriele Oliaro et al.
1.94
OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers
(2026)
Siyuan Li et al.
1.94
UP: Unbounded Positive Asymmetric Optimization for Breaking the Exploration-Stability Dilemma
(2026)
Chongyu Fan et al.
1.94
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals
(2026)
Daocheng Fu et al.
1.94
ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation
(2026)
Qingyu Zhang et al.
1.94
Group Entropy-Controlled Policy Optimization
(2026)
Guangran Cheng et al.
1.94
Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts
(2026)
Chen Yang et al.
1.72
Benchmarking Optimizers for Large Language Model Pretraining
(2025)
Andrei Semenov et al.
1.44
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
(2025)
Teng Xiao et al.
1.06
Neur2SP: Neural Two-Stage Stochastic Programming
(2022)
Justin Dumouchelle et al.
β
An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling
(2024)
Linxin Yang et al.
β
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
(2024)
Xin Lai et al.
β