Guardado en:
| Autores principales: | Chang, Fu-Chieh, Lin, You-Chen, Wu, Pei-Yuan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2411.16260 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Language Models are Symbolic Learners in Arithmetic
por: Deng, Chunyuan, et al.
Publicado: (2024)
por: Deng, Chunyuan, et al.
Publicado: (2024)
Benchmarking Large Language Model Uncertainty for Prompt Optimization
por: Guo, Pei-Fu, et al.
Publicado: (2024)
por: Guo, Pei-Fu, et al.
Publicado: (2024)
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
por: Chang, Yupeng, et al.
Publicado: (2024)
por: Chang, Yupeng, et al.
Publicado: (2024)
AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
por: Li, Zhiyuan, et al.
Publicado: (2026)
por: Li, Zhiyuan, et al.
Publicado: (2026)
Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability
por: Lee, Yu-Ting, et al.
Publicado: (2025)
por: Lee, Yu-Ting, et al.
Publicado: (2025)
Unveiling the Latent Directions of Reflection in Large Language Models
por: Chang, Fu-Chieh, et al.
Publicado: (2025)
por: Chang, Fu-Chieh, et al.
Publicado: (2025)
Steering Language Models with Weight Arithmetic
por: Fierro, Constanza, et al.
Publicado: (2025)
por: Fierro, Constanza, et al.
Publicado: (2025)
On Calibration of Large Language Models: From Response To Capability
por: Yang, Sin-Han, et al.
Publicado: (2026)
por: Yang, Sin-Han, et al.
Publicado: (2026)
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
por: Gao, Shangqian, et al.
Publicado: (2024)
por: Gao, Shangqian, et al.
Publicado: (2024)
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
por: Zhang, Hugh, et al.
Publicado: (2024)
por: Zhang, Hugh, et al.
Publicado: (2024)
Unraveling the cognitive patterns of Large Language Models through module communities
por: Bhandari, Kushal Raj, et al.
Publicado: (2025)
por: Bhandari, Kushal Raj, et al.
Publicado: (2025)
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
por: Shi, Dachuan, et al.
Publicado: (2025)
por: Shi, Dachuan, et al.
Publicado: (2025)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
por: You, Haoran, et al.
Publicado: (2024)
por: You, Haoran, et al.
Publicado: (2024)
Olica: Efficient Structured Pruning of Large Language Models without Retraining
por: He, Jiujun, et al.
Publicado: (2025)
por: He, Jiujun, et al.
Publicado: (2025)
Large Language Diffusion Models
por: Nie, Shen, et al.
Publicado: (2025)
por: Nie, Shen, et al.
Publicado: (2025)
JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution
por: Chang, Yurui, et al.
Publicado: (2024)
por: Chang, Yurui, et al.
Publicado: (2024)
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
por: Lu, Keming, et al.
Publicado: (2024)
por: Lu, Keming, et al.
Publicado: (2024)
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
por: Gao, Shangqian, et al.
Publicado: (2025)
por: Gao, Shangqian, et al.
Publicado: (2025)
Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
por: Wei, Linye, et al.
Publicado: (2025)
por: Wei, Linye, et al.
Publicado: (2025)
Structured Agent Distillation for Large Language Model
por: Liu, Jun, et al.
Publicado: (2025)
por: Liu, Jun, et al.
Publicado: (2025)
Deterministic Differentiable Structured Pruning for Large Language Models
por: Huang, Weiyu, et al.
Publicado: (2026)
por: Huang, Weiyu, et al.
Publicado: (2026)
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
por: Gambardella, Andrew, et al.
Publicado: (2024)
por: Gambardella, Andrew, et al.
Publicado: (2024)
An Algebraic View of the Expressivity of Recurrent Language Models
por: Nowak, Franz, et al.
Publicado: (2026)
por: Nowak, Franz, et al.
Publicado: (2026)
Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference
por: Yuan, Han, et al.
Publicado: (2025)
por: Yuan, Han, et al.
Publicado: (2025)
Language Models Implement Simple Word2Vec-style Vector Arithmetic
por: Merullo, Jack, et al.
Publicado: (2023)
por: Merullo, Jack, et al.
Publicado: (2023)
Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models
por: Wang, Chang, et al.
Publicado: (2025)
por: Wang, Chang, et al.
Publicado: (2025)
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
por: Bansal, Hritik, et al.
Publicado: (2023)
por: Bansal, Hritik, et al.
Publicado: (2023)
The Role of Deductive and Inductive Reasoning in Large Language Models
por: Cai, Chengkun, et al.
Publicado: (2024)
por: Cai, Chengkun, et al.
Publicado: (2024)
Learning to Extract Structured Entities Using Language Models
por: Wu, Haolun, et al.
Publicado: (2024)
por: Wu, Haolun, et al.
Publicado: (2024)
On the Emergence and Test-Time Use of Structural Information in Large Language Models
por: Chen, Michelle Chao, et al.
Publicado: (2026)
por: Chen, Michelle Chao, et al.
Publicado: (2026)
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
por: Shrestha, Safal, et al.
Publicado: (2025)
por: Shrestha, Safal, et al.
Publicado: (2025)
Beyond Language: Format-Agnostic Reasoning Subspaces in Large Language Models
por: Yuan, Aojie, et al.
Publicado: (2026)
por: Yuan, Aojie, et al.
Publicado: (2026)
Continual Learning for Large Language Models: A Survey
por: Wu, Tongtong, et al.
Publicado: (2024)
por: Wu, Tongtong, et al.
Publicado: (2024)
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
por: Dugan, Owen, et al.
Publicado: (2024)
por: Dugan, Owen, et al.
Publicado: (2024)
Fact or Guesswork? Evaluating Large Language Models' Medical Knowledge with Structured One-Hop Judgments
por: Li, Jiaxi, et al.
Publicado: (2025)
por: Li, Jiaxi, et al.
Publicado: (2025)
ROPO: Robust Preference Optimization for Large Language Models
por: Liang, Xize, et al.
Publicado: (2024)
por: Liang, Xize, et al.
Publicado: (2024)
Are Large Language Models Table-based Fact-Checkers?
por: Zhang, Hanwen, et al.
Publicado: (2024)
por: Zhang, Hanwen, et al.
Publicado: (2024)
Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
por: Sabbaghi, Mahdi, et al.
Publicado: (2024)
por: Sabbaghi, Mahdi, et al.
Publicado: (2024)
A Closer Look at Machine Unlearning for Large Language Models
por: Yuan, Xiaojian, et al.
Publicado: (2024)
por: Yuan, Xiaojian, et al.
Publicado: (2024)
ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning
por: Yue, Ling, et al.
Publicado: (2024)
por: Yue, Ling, et al.
Publicado: (2024)
Ejemplares similares
-
Language Models are Symbolic Learners in Arithmetic
por: Deng, Chunyuan, et al.
Publicado: (2024) -
Benchmarking Large Language Model Uncertainty for Prompt Optimization
por: Guo, Pei-Fu, et al.
Publicado: (2024) -
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
por: Chang, Yupeng, et al.
Publicado: (2024) -
AGGC: Adaptive Group Gradient Clipping for Stabilizing Large Language Model Training
por: Li, Zhiyuan, et al.
Publicado: (2026) -
Intrinsic Self-Correction in LLMs: Towards Explainable Prompting via Mechanistic Interpretability
por: Lee, Yu-Ting, et al.
Publicado: (2025)