:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Sun, Hanchi, Liu, Yixin, Wu, Yonghui, Sun, Lichao
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	https://arxiv.org/abs/2603.11535
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FinLLM-B: When Large Language Models Meet Financial Breakout Trading
por: Zhang, Kang, et al.
Publicado: (2024)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
por: Yuan, Zhengqing, et al.
Publicado: (2026)

Agentic AutoSurvey: Let LLMs Survey LLMs
por: Liu, Yixin, et al.
Publicado: (2025)

Instruction Mining: Instruction Data Selection for Tuning Large Language Models
por: Cao, Yihan, et al.
Publicado: (2023)

Self-Cognition in Large Language Models: An Exploratory Study
por: Chen, Dongping, et al.
Publicado: (2024)

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
por: Sun, Ryan, et al.
Publicado: (2024)

Cosine-Similarity Routing with Semantic Anchors for Interpretable Mixture-of-Experts Language Models
por: Ternovtsii, Ivan, et al.
Publicado: (2025)

Beyond Spurious Signals: Debiasing Multimodal Large Language Models via Counterfactual Inference and Adaptive Expert Routing
por: Wu, Zichen, et al.
Publicado: (2025)

HonestLLM: Toward an Honest and Helpful Large Language Model
por: Gao, Chujie, et al.
Publicado: (2024)

EfficientLLM: Efficiency in Large Language Models
por: Yuan, Zhengqing, et al.
Publicado: (2025)

Routing-Aligned Fine-Tuning for Multilingual Downstream Tasks in Mixture-of-Experts Models
por: Deng, Guanzhi, et al.
Publicado: (2026)

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!
por: Ma, Yubo, et al.
Publicado: (2023)

An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
por: Chai, Ziwei, et al.
Publicado: (2024)

Routing-Free Mixture-of-Experts
por: Liu, Yilun, et al.
Publicado: (2026)

LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
por: Zhuang, Yuan, et al.
Publicado: (2025)

ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
por: Wang, Siwei, et al.
Publicado: (2024)

RecycleGPT: An Autoregressive Language Model with Recyclable Module
por: Jiang, Yufan, et al.
Publicado: (2023)

MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds
por: Wu, Junxi, et al.
Publicado: (2025)

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
por: Fan, Chenrui, et al.
Publicado: (2025)

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts
por: Lyu, Boxuan, et al.
Publicado: (2026)

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
por: Zheng, Haojie, et al.
Publicado: (2024)

SpectR: Dynamically Composing LM Experts with Spectral Routing
por: Fleshman, William, et al.
Publicado: (2025)

Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions
por: Zhong, Hanyang, et al.
Publicado: (2024)

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
por: Li, Chong, et al.
Publicado: (2025)

Scaling Embeddings Outperforms Scaling Experts in Language Models
por: Liu, Hong, et al.
Publicado: (2026)

Autoregressive + Chain of Thought = Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer
por: Zhang, Xiang, et al.
Publicado: (2024)

Multilingual Routing in Mixture-of-Experts
por: Bandarkar, Lucas, et al.
Publicado: (2025)

Understanding Dynamic Compute Allocation in Recurrent Transformers
por: Moosa, Ibraheem Muhammad, et al.
Publicado: (2026)

SciDFM: A Large Language Model with Mixture-of-Experts for Science
por: Sun, Liangtai, et al.
Publicado: (2024)

Probing Semantic Routing in Large Mixture-of-Expert Models
por: Olson, Matthew Lyle, et al.
Publicado: (2025)

GPT-SW3: An Autoregressive Language Model for the Nordic Languages
por: Ekgren, Ariel, et al.
Publicado: (2023)

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty
por: Zhang, Ziqian, et al.
Publicado: (2026)

Autonomy-of-Experts Models
por: Lv, Ang, et al.
Publicado: (2025)

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
por: Peng, Cheng, et al.
Publicado: (2025)

Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging
por: Lyu, Mengxian, et al.
Publicado: (2026)

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
por: Zhang, Kai, et al.
Publicado: (2023)

Continuous Autoregressive Language Models
por: Shao, Chenze, et al.
Publicado: (2025)

SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model
por: Zhang, Wencheng, et al.
Publicado: (2025)

MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
por: Thiombiano, Abdoul Majid O., et al.
Publicado: (2025)

Differences in Text Generated by Diffusion and Autoregressive Language Models
por: Zhang, Zeyang, et al.
Publicado: (2026)