Saved in:
| Main Authors: | Meyerson, Elliot, Qiu, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.04358 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
by: Qiu, Xin, et al.
Published: (2025)
by: Qiu, Xin, et al.
Published: (2025)
Fine-Tuning Language Models to Know What They Know
by: Park, Sangjun, et al.
Published: (2026)
by: Park, Sangjun, et al.
Published: (2026)
Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025)
by: Parab, Aishni, et al.
Published: (2025)
Discovering Effective Policies for Land-Use Planning with Neuroevolution
by: Young, Daniel, et al.
Published: (2023)
by: Young, Daniel, et al.
Published: (2023)
What's the Magic Word? A Control Theory of LLM Prompting
by: Bhargava, Aman, et al.
Published: (2023)
by: Bhargava, Aman, et al.
Published: (2023)
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
by: Abhyankar, Nikhil, et al.
Published: (2025)
by: Abhyankar, Nikhil, et al.
Published: (2025)
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
by: Shojaee, Parshin, et al.
Published: (2024)
by: Shojaee, Parshin, et al.
Published: (2024)
Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
by: Topsakal, Oguzhan, et al.
Published: (2024)
by: Topsakal, Oguzhan, et al.
Published: (2024)
Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
by: Bournez, Olivier
Published: (2026)
by: Bournez, Olivier
Published: (2026)
Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation
by: Lee, Philip Heejun
Published: (2025)
by: Lee, Philip Heejun
Published: (2025)
Hybrid Approach to Parallel Stochastic Gradient Descent
by: Vora, Aakash Sudhirbhai, et al.
Published: (2024)
by: Vora, Aakash Sudhirbhai, et al.
Published: (2024)
Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)
by: Dobariya, Om, et al.
Published: (2025)
by: Dobariya, Om, et al.
Published: (2025)
Fleet of Agents: Coordinated Problem Solving with Large Language Models
by: Klein, Lars, et al.
Published: (2024)
by: Klein, Lars, et al.
Published: (2024)
LLM-Augmented Chemical Synthesis and Design Decision Programs
by: Wang, Haorui, et al.
Published: (2025)
by: Wang, Haorui, et al.
Published: (2025)
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
by: Miranda, Brando, et al.
Published: (2023)
by: Miranda, Brando, et al.
Published: (2023)
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete
by: Bertschinger, Daniel, et al.
Published: (2022)
by: Bertschinger, Daniel, et al.
Published: (2022)
PARWiS: Winner determination under shoestring budgets using active pairwise comparisons
by: Bhandari, Shailendra
Published: (2026)
by: Bhandari, Shailendra
Published: (2026)
Unlocking the Potential of Global Human Expertise
by: Meyerson, Elliot, et al.
Published: (2024)
by: Meyerson, Elliot, et al.
Published: (2024)
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems
by: Huang, Yuxiao, et al.
Published: (2024)
by: Huang, Yuxiao, et al.
Published: (2024)
EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery
by: Yuksel, Kamer Ali
Published: (2025)
by: Yuksel, Kamer Ali
Published: (2025)
Breaking the MoE LLM Trilemma: Dynamic Expert Clustering with Structured Compression
by: Zhu, Peijun, et al.
Published: (2025)
by: Zhu, Peijun, et al.
Published: (2025)
LLM2TEA: An Agentic AI Designer for Discovery with Generative Evolutionary Multitasking
by: Wong, Melvin, et al.
Published: (2024)
by: Wong, Melvin, et al.
Published: (2024)
CAPO: Cost-Aware Prompt Optimization
by: Zehle, Tom, et al.
Published: (2025)
by: Zehle, Tom, et al.
Published: (2025)
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Topic Modelling Black Box Optimization
by: Akramov, Roman, et al.
Published: (2025)
by: Akramov, Roman, et al.
Published: (2025)
Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
by: Štefánik, Michal, et al.
Published: (2025)
by: Štefánik, Michal, et al.
Published: (2025)
Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
by: Odeyemi, Jethro, et al.
Published: (2025)
by: Odeyemi, Jethro, et al.
Published: (2025)
GLU Attention Improve Transformer
by: Wang, Zehao
Published: (2025)
by: Wang, Zehao
Published: (2025)
Elastic Architecture Search for Efficient Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Large Language Models and Emergence: A Complex Systems Perspective
by: Krakauer, David C., et al.
Published: (2025)
by: Krakauer, David C., et al.
Published: (2025)
Understanding Textual Emotion Through Emoji Prediction
by: Gordon, Ethan, et al.
Published: (2025)
by: Gordon, Ethan, et al.
Published: (2025)
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
by: Liang, Haoyu, et al.
Published: (2025)
by: Liang, Haoyu, et al.
Published: (2025)
Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
by: Liu, Houjun, et al.
Published: (2025)
by: Liu, Houjun, et al.
Published: (2025)
A Transformer-based Neural Architecture Search Method
by: Wang, Shang, et al.
Published: (2025)
by: Wang, Shang, et al.
Published: (2025)
Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
by: Bergsma, Shane, et al.
Published: (2025)
by: Bergsma, Shane, et al.
Published: (2025)
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction
by: Figueroa, Alexei, et al.
Published: (2025)
by: Figueroa, Alexei, et al.
Published: (2025)
A Gauge Theory of Superposition: Toward a Sheaf-Theoretic Atlas of Neural Representations
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
Interlocking-free Selective Rationalization Through Genetic-based Learning
by: Ruggeri, Federico, et al.
Published: (2024)
by: Ruggeri, Federico, et al.
Published: (2024)
Semantic Sections: An Atlas-Native Feature Ontology for Obstructed Representation Spaces
by: Javidnia, Hossein
Published: (2026)
by: Javidnia, Hossein
Published: (2026)
Similar Items
-
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
by: Qiu, Xin, et al.
Published: (2025) -
Fine-Tuning Language Models to Know What They Know
by: Park, Sangjun, et al.
Published: (2026) -
Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025) -
Discovering Effective Policies for Land-Use Planning with Neuroevolution
by: Young, Daniel, et al.
Published: (2023) -
What's the Magic Word? A Control Theory of LLM Prompting
by: Bhargava, Aman, et al.
Published: (2023)