Neural Networks Remember More: The Power of Parameter Isolation and Combination
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Biqing, Li, Zehan, Ayesh, Aladdin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
User-Centric AI Analytics for Chronic Health Conditions Management
by: Ayesh, Aladdin
Published: (2024)
by: Ayesh, Aladdin
Published: (2024)
Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents
by: Al-Tawaha, Ahmad, et al.
Published: (2026)
by: Al-Tawaha, Ahmad, et al.
Published: (2026)
CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
by: Ayesh, Mutaz, et al.
Published: (2025)
by: Ayesh, Mutaz, et al.
Published: (2025)
Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation
by: Wu, Yuqian, et al.
Published: (2026)
by: Wu, Yuqian, et al.
Published: (2026)
Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
by: Cao, Zouying, et al.
Published: (2025)
by: Cao, Zouying, et al.
Published: (2025)
ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning
by: Li, Xianming, et al.
Published: (2026)
by: Li, Xianming, et al.
Published: (2026)
Toward Robust Multilingual Adaptation of LLMs for Low-Resource Languages
by: Li, Haolin, et al.
Published: (2025)
by: Li, Haolin, et al.
Published: (2025)
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
by: Li, Aaron J., et al.
Published: (2024)
by: Li, Aaron J., et al.
Published: (2024)
Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
by: Song, Siqi, et al.
Published: (2025)
by: Song, Siqi, et al.
Published: (2025)
Simulated Ignorance Fails: A Systematic Study of LLM Behaviors on Forecasting Problems Before Model Knowledge Cutoff
by: Li, Zehan, et al.
Published: (2026)
by: Li, Zehan, et al.
Published: (2026)
Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning
by: Gao, Junqi, et al.
Published: (2025)
by: Gao, Junqi, et al.
Published: (2025)
Preemptive Answer "Attacks" on Chain-of-Thought Reasoning
by: Xu, Rongwu, et al.
Published: (2024)
by: Xu, Rongwu, et al.
Published: (2024)
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making
by: Fu, Dayuan, et al.
Published: (2024)
by: Fu, Dayuan, et al.
Published: (2024)
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2024)
by: Liang, Yao, et al.
Published: (2024)
GL-Fusion: Rethinking the Combination of Graph Neural Network and Large Language model
by: Yang, Haotong, et al.
Published: (2024)
by: Yang, Haotong, et al.
Published: (2024)
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture
by: Shi, Jingze, et al.
Published: (2024)
by: Shi, Jingze, et al.
Published: (2024)
Transformers Remember First, Forget Last: Dual-Process Interference in LLMs
by: Chattaraj, Sourav, et al.
Published: (2026)
by: Chattaraj, Sourav, et al.
Published: (2026)
ReviewRL: Towards Automated Scientific Review with RL
by: Zeng, Sihang, et al.
Published: (2025)
by: Zeng, Sihang, et al.
Published: (2025)
Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
by: Qi, Biqing, et al.
Published: (2024)
by: Qi, Biqing, et al.
Published: (2024)
On the token distance modeling ability of higher RoPE attention dimension
by: Hong, Xiangyu, et al.
Published: (2024)
by: Hong, Xiangyu, et al.
Published: (2024)
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
by: Hua, Ermo, et al.
Published: (2024)
by: Hua, Ermo, et al.
Published: (2024)
Debating with More Persuasive LLMs Leads to More Truthful Answers
by: Khan, Akbir, et al.
Published: (2024)
by: Khan, Akbir, et al.
Published: (2024)
MARS$^2$: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation
by: Li, Pengfei, et al.
Published: (2026)
by: Li, Pengfei, et al.
Published: (2026)
Less is More: Resource-Efficient Low-Rank Adaptation
by: Tian, Chunlin, et al.
Published: (2025)
by: Tian, Chunlin, et al.
Published: (2025)
Remember This Event That Year? Assessing Temporal Information and Reasoning in Large Language Models
by: Beniwal, Himanshu, et al.
Published: (2024)
by: Beniwal, Himanshu, et al.
Published: (2024)
TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
by: Liang, Yao, et al.
Published: (2025)
by: Liang, Yao, et al.
Published: (2025)
Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
by: Wei, Qingyan, et al.
Published: (2025)
by: Wei, Qingyan, et al.
Published: (2025)
Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks
by: Li, Ping, et al.
Published: (2026)
by: Li, Ping, et al.
Published: (2026)
Explain Less, Understand More: Jargon Detection via Personalized Parameter-Efficient Fine-tuning
by: Wu, Bohao, et al.
Published: (2025)
by: Wu, Bohao, et al.
Published: (2025)
LIMO: Less is More for Reasoning
by: Ye, Yixin, et al.
Published: (2025)
by: Ye, Yixin, et al.
Published: (2025)
NDP: Next Distribution Prediction as a More Broad Target
by: Ruan, Junhao, et al.
Published: (2024)
by: Ruan, Junhao, et al.
Published: (2024)
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics
by: Li, Zhaoxing, et al.
Published: (2025)
by: Li, Zhaoxing, et al.
Published: (2025)
SEG:Seeds-Enhanced Iterative Refinement Graph Neural Network for Entity Alignment
by: Ai, Wei, et al.
Published: (2024)
by: Ai, Wei, et al.
Published: (2024)
What Does it Mean for a Neural Network to Learn a "World Model"?
by: Li, Kenneth, et al.
Published: (2025)
by: Li, Kenneth, et al.
Published: (2025)
Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning
by: Huang, Xijie, et al.
Published: (2023)
by: Huang, Xijie, et al.
Published: (2023)
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
by: Du, Guodong, et al.
Published: (2025)
by: Du, Guodong, et al.
Published: (2025)
CoDAR: Continuous Diffusion Language Models are More Powerful Than You Think
by: Shen, Junzhe, et al.
Published: (2026)
by: Shen, Junzhe, et al.
Published: (2026)
The Expressive Power of Low-Rank Adaptation
by: Zeng, Yuchen, et al.
Published: (2023)
by: Zeng, Yuchen, et al.
Published: (2023)
Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models
by: Li, Junyi, et al.
Published: (2025)
by: Li, Junyi, et al.
Published: (2025)
ElectriQ: A Benchmark for Assessing the Response Capability of Large Language Models in Power Marketing
by: Wang, Jinzhi, et al.
Published: (2025)
by: Wang, Jinzhi, et al.
Published: (2025)
Similar Items
-
User-Centric AI Analytics for Chronic Health Conditions Management
by: Ayesh, Aladdin
Published: (2024) -
Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents
by: Al-Tawaha, Ahmad, et al.
Published: (2026) -
CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
by: Ayesh, Mutaz, et al.
Published: (2025) -
Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation
by: Wu, Yuqian, et al.
Published: (2026) -
Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
by: Cao, Zouying, et al.
Published: (2025)