:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Xiaojian, Leng, Yongkang, Ding, Ruiqing, Mo, Hangjie, Yang, Shanlin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2503.13530
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From EMR Data to Clinical Insight: An LLM-Driven Framework for Automated Pre-Consultation Questionnaire Generation
di: Ding, Ruiqing, et al.
Pubblicazione: (2025)

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
di: Wei, Songtao, et al.
Pubblicazione: (2026)

Reducing Credit Assignment Variance via Counterfactual Reasoning Paths
di: Ding, Fei, et al.
Pubblicazione: (2026)

Are Large Language Models Useful for Time Series Data Analysis?
di: Tang, Francis, et al.
Pubblicazione: (2024)

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models
di: Sui, Yuan, et al.
Pubblicazione: (2025)

Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
di: Zhuo, Zhijian, et al.
Pubblicazione: (2024)

On Distributional Reinforcement Learning in Chaotic Dynamical Systems
di: Rudd-Jones, James, et al.
Pubblicazione: (2026)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
di: Zhu, Kaijie, et al.
Pubblicazione: (2023)

A Closer Look at Machine Unlearning for Large Language Models
di: Yuan, Xiaojian, et al.
Pubblicazione: (2024)

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering
di: Ding, Chenlu, et al.
Pubblicazione: (2025)

Multi-property Steering of Large Language Models with Dynamic Activation Composition
di: Scalena, Daniel, et al.
Pubblicazione: (2024)

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
di: Lv, Yaojia, et al.
Pubblicazione: (2024)

Steering Large Language Model Activations in Sparse Spaces
di: Bayat, Reza, et al.
Pubblicazione: (2025)

DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
di: Chung, Tsz Ting, et al.
Pubblicazione: (2025)

On Predictability of Reinforcement Learning Dynamics for Large Language Models
di: Cai, Yuchen, et al.
Pubblicazione: (2025)

Beyond One-Size-Fits-All: Adaptive Subgraph Denoising for Zero-Shot Graph Learning with Large Language Models
di: Li, Fengzhi, et al.
Pubblicazione: (2026)

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
di: Yu, Zhouliang, et al.
Pubblicazione: (2025)

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
di: Cui, Ganqu, et al.
Pubblicazione: (2025)

CBMAS: Cognitive Behavioral Modeling via Activation Steering
di: Ismail, Ahmed H., et al.
Pubblicazione: (2026)

ActivationReasoning: Logical Reasoning in Latent Activation Spaces
di: Helff, Lukas, et al.
Pubblicazione: (2025)

Internalizing Outcome Supervision into Process Supervision: A New Paradigm for Reinforcement Learning for Reasoning
di: Ding, Fei, et al.
Pubblicazione: (2026)

Activation Sparsity Opportunities for Compressing General Large Language Models
di: Dhar, Nobel, et al.
Pubblicazione: (2024)

CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
di: Chen, Zhuofan, et al.
Pubblicazione: (2025)

Dynamical Systems Analysis Reveals Functional Regimes in Large Language Models
di: Ugail, Hassan, et al.
Pubblicazione: (2026)

Are Large-Language Models Graph Algorithmic Reasoners?
di: Taylor, Alexander K, et al.
Pubblicazione: (2024)

ChaosNexus: A Foundation Model for ODE-based Chaotic System Forecasting with Hierarchical Multi-scale Awareness
di: Liu, Chang, et al.
Pubblicazione: (2025)

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
di: Lei, Runlin, et al.
Pubblicazione: (2025)

Design Conditions for Intra-Group Learning of Sequence-Level Rewards: Token Gradient Cancellation
di: Ding, Fei, et al.
Pubblicazione: (2026)

Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
di: Fartale, Harshwardhan, et al.
Pubblicazione: (2025)

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
di: Li, Yaxuan, et al.
Pubblicazione: (2026)

InverseScope: Scalable Activation Inversion for Interpreting Large Language Models
di: Luo, Yifan, et al.
Pubblicazione: (2025)

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization
di: Zhao, Weibo, et al.
Pubblicazione: (2024)

Probing the Trajectories of Reasoning Traces in Large Language Models
di: Ballon, Marthe, et al.
Pubblicazione: (2026)

Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models
di: An, Tai, et al.
Pubblicazione: (2025)

Synthesizing Attitudes, Predicting Actions (SAPA): Behavioral Theory-Guided LLMs for Ridesourcing Mode Choice Modeling
di: Sameen, Mustafa, et al.
Pubblicazione: (2025)

Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting
di: Liu, Chang, et al.
Pubblicazione: (2025)

What Makes Reasoning Invalid: Echo Reflection Mitigation for Large Language Models
di: He, Chen, et al.
Pubblicazione: (2025)

IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities
di: Wang, Bin, et al.
Pubblicazione: (2024)

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
di: Chen, Sihan, et al.
Pubblicazione: (2025)

A Mechanistic Analysis of Looped Reasoning Language Models
di: Blayney, Hugh, et al.
Pubblicazione: (2026)