Copertina

Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qasim, Kaleem Ullah, Zhang, Jiashu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computation and Language Neural and Evolutionary Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Form Follows Function: Recursive Stem Model
di: Hakimi, Navid
Pubblicazione: (2026)

Recursive Dynamics in Fast-Weights Homeostatic Reentry Networks: Toward Reflective Intelligence
di: Chae, B. G.
Pubblicazione: (2025)

Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models
di: Qasim, Kaleem Ullah, et al.
Pubblicazione: (2025)

NOBLE: Accelerating Transformers with Nonlinear Low-Rank Branches
di: Smith, Ethan
Pubblicazione: (2026)

Vector Policy Optimization: Training for Diversity Improves Test-Time Search
di: Bahlous-Boldi, Ryan, et al.
Pubblicazione: (2026)

Position as Probability: Self-Supervised Transformers that Think Past Their Training for Length Extrapolation
di: Lee, Philip Heejun
Pubblicazione: (2025)

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models
di: Liang, Haoyu, et al.
Pubblicazione: (2025)

A Survey of Recursive and Recurrent Neural Networks
di: Liu, Jian-wei, et al.
Pubblicazione: (2025)

DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
di: Ghanathe, Nikhil P, et al.
Pubblicazione: (2024)

Topic Modelling Black Box Optimization
di: Akramov, Roman, et al.
Pubblicazione: (2025)

Diffusion Language Models for Speech Recognition
di: Naveriani, Davyd, et al.
Pubblicazione: (2026)

Elastic Architecture Search for Efficient Language Models
di: Wang, Shang
Pubblicazione: (2025)

Hyperbolic Fine-Tuning for Large Language Models
di: Yang, Menglin, et al.
Pubblicazione: (2024)

EvoMerge: Neuroevolution for Large Language Models
di: Jiang, Yushu
Pubblicazione: (2024)

Solve the Loop: Attractor Models for Language and Reasoning
di: Fein-Ashley, Jacob, et al.
Pubblicazione: (2026)

H-Node Attack and Defense in Large Language Models
di: Yocam, Eric, et al.
Pubblicazione: (2026)

Large Language Models and Emergence: A Complex Systems Perspective
di: Krakauer, David C., et al.
Pubblicazione: (2025)

Fleet of Agents: Coordinated Problem Solving with Large Language Models
di: Klein, Lars, et al.
Pubblicazione: (2024)

Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
di: Petruzzellis, Flavio, et al.
Pubblicazione: (2024)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
di: Baumann, Jill, et al.
Pubblicazione: (2024)

MAR: Efficient Large Language Models via Module-aware Architecture Refinement
di: Cai, Junhong, et al.
Pubblicazione: (2026)

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
di: Shojaee, Parshin, et al.
Pubblicazione: (2024)

When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges
di: Wang, Chao, et al.
Pubblicazione: (2024)

Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
di: Ruiz, Daniel C., et al.
Pubblicazione: (2024)

W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
di: Wang, Shang
Pubblicazione: (2025)

Language Models Learn Universal Representations of Numbers and Here's Why You Should Care
di: Štefánik, Michal, et al.
Pubblicazione: (2025)

Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
di: Odeyemi, Jethro, et al.
Pubblicazione: (2025)

Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
di: Topsakal, Oguzhan, et al.
Pubblicazione: (2024)

Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
di: Qu, Youyang, et al.
Pubblicazione: (2024)

Heuristically Adaptive Diffusion-Model Evolutionary Strategy
di: Hartl, Benedikt, et al.
Pubblicazione: (2024)

Parameter-Efficient Fine-Tuning of LLMs with Mixture of Space Experts
di: Zhang, Buze, et al.
Pubblicazione: (2026)

Complexity Agnostic Recursive Decomposition of Thoughts
di: Qasim, Kaleem Ullah, et al.
Pubblicazione: (2025)

Children's Acquisition of Tail-recursion Sequences: A Review of Locative Recursion and Possessive Recursion as Examples
di: Wang, Xiaoyi, et al.
Pubblicazione: (2024)

CAPO: Cost-Aware Prompt Optimization
di: Zehle, Tom, et al.
Pubblicazione: (2025)

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
di: Parab, Aishni, et al.
Pubblicazione: (2025)

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers
di: Abhyankar, Nikhil, et al.
Pubblicazione: (2025)

GLU Attention Improve Transformer
di: Wang, Zehao
Pubblicazione: (2025)

Understanding Textual Emotion Through Emoji Prediction
di: Gordon, Ethan, et al.
Pubblicazione: (2025)

Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
di: Liu, Houjun, et al.
Pubblicazione: (2025)

A Transformer-based Neural Architecture Search Method
di: Wang, Shang, et al.
Pubblicazione: (2025)