Saved in:
| Main Author: | Erden, Caner |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.14925 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Rank Reinforcement Learning for Adaptive Low-Rank Multi-Head Self Attention in Large Language Models
by: Erden, Caner
Published: (2025)
by: Erden, Caner
Published: (2025)
Hiding in Plain Sight: Finding MAHA on Reddit
by: Ahmed, Sabit, et al.
Published: (2026)
by: Ahmed, Sabit, et al.
Published: (2026)
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025)
by: Pan, Dayan, et al.
Published: (2025)
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models
by: Dong, Meiquan, et al.
Published: (2025)
by: Dong, Meiquan, et al.
Published: (2025)
Attention Basin: Why Contextual Position Matters in Large Language Models
by: Yi, Zihao, et al.
Published: (2025)
by: Yi, Zihao, et al.
Published: (2025)
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
by: Yin, Zhangyue, et al.
Published: (2024)
by: Yin, Zhangyue, et al.
Published: (2024)
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
by: Feng, Xiachong, et al.
Published: (2024)
by: Feng, Xiachong, et al.
Published: (2024)
BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence
by: Wu, Sean, et al.
Published: (2026)
by: Wu, Sean, et al.
Published: (2026)
Steering Language Models with Game-Theoretic Solvers
by: Gemp, Ian, et al.
Published: (2024)
by: Gemp, Ian, et al.
Published: (2024)
Latent Convergence Modulation in Large Language Models: A Novel Approach to Iterative Contextual Realignment
by: Porretta, Patricia, et al.
Published: (2025)
by: Porretta, Patricia, et al.
Published: (2025)
Contextual Morphogenesis in Large Language Models: A Novel Approach to Self-Organizing Token Representations
by: Dombrowski, Alistair, et al.
Published: (2025)
by: Dombrowski, Alistair, et al.
Published: (2025)
Lexical Manifold Reconfiguration in Large Language Models: A Novel Architectural Approach for Contextual Modulation
by: Vassilis, Koinis, et al.
Published: (2025)
by: Vassilis, Koinis, et al.
Published: (2025)
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
by: Huang, Lei, et al.
Published: (2025)
by: Huang, Lei, et al.
Published: (2025)
Efficient Attention Mechanisms for Large Language Models: A Survey
by: Sun, Yutao, et al.
Published: (2025)
by: Sun, Yutao, et al.
Published: (2025)
HBO: Hierarchical Balancing Optimization for Fine-Tuning Large Language Models
by: Wang, Weixuan, et al.
Published: (2025)
by: Wang, Weixuan, et al.
Published: (2025)
In-Contextual Gender Bias Suppression for Large Language Models
by: Oba, Daisuke, et al.
Published: (2023)
by: Oba, Daisuke, et al.
Published: (2023)
Infusing Knowledge into Large Language Models with Contextual Prompts
by: Vasisht, Kinshuk, et al.
Published: (2024)
by: Vasisht, Kinshuk, et al.
Published: (2024)
Exploring Contextual Flux in Large Language Models: A Novel Approach to Self-Modulating Semantic Networks
by: Evidail, Henry, et al.
Published: (2025)
by: Evidail, Henry, et al.
Published: (2025)
Intrinsic Tensor Field Propagation in Large Language Models: A Novel Approach to Contextual Information Flow
by: Bexley, Alfred, et al.
Published: (2025)
by: Bexley, Alfred, et al.
Published: (2025)
Quantum-Like Contextuality in Large Language Models
by: Lo, Kin Ian, et al.
Published: (2024)
by: Lo, Kin Ian, et al.
Published: (2024)
Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
by: Egli, Eric, et al.
Published: (2025)
by: Egli, Eric, et al.
Published: (2025)
Exploring Synaptic Resonance in Large Language Models: A Novel Approach to Contextual Memory Integration
by: Applegarth, George, et al.
Published: (2025)
by: Applegarth, George, et al.
Published: (2025)
Emergent Hierarchical Structure in Large Language Models: An Information-Theoretic Framework for Multi-Scale Representation
by: Zhang, Yukin, et al.
Published: (2025)
by: Zhang, Yukin, et al.
Published: (2025)
Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models
by: Deniz, Omer Faruk, et al.
Published: (2026)
by: Deniz, Omer Faruk, et al.
Published: (2026)
Structural Embedding Projection for Contextual Large Language Model Inference
by: Enoasmo, Vincent, et al.
Published: (2025)
by: Enoasmo, Vincent, et al.
Published: (2025)
Contextually Structured Token Dependency Encoding for Large Language Models
by: Blades, James, et al.
Published: (2025)
by: Blades, James, et al.
Published: (2025)
Probabilistic Subspace Manifolds for Contextual Inference in Large Language Models
by: Nightingale, Christopher, et al.
Published: (2025)
by: Nightingale, Christopher, et al.
Published: (2025)
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
by: Lepori, Michael A., et al.
Published: (2024)
by: Lepori, Michael A., et al.
Published: (2024)
AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language Models
by: Gu, Yifeng, et al.
Published: (2025)
by: Gu, Yifeng, et al.
Published: (2025)
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering
by: Phukan, Anirudh, et al.
Published: (2024)
by: Phukan, Anirudh, et al.
Published: (2024)
RelayAttention for Efficient Large Language Model Serving with Long System Prompts
by: Zhu, Lei, et al.
Published: (2024)
by: Zhu, Lei, et al.
Published: (2024)
ART: Attention Run-time Termination for Efficient Large Language Model Decoding
by: Qiu, Chen, et al.
Published: (2026)
by: Qiu, Chen, et al.
Published: (2026)
AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
by: Matys, Piotr, et al.
Published: (2025)
by: Matys, Piotr, et al.
Published: (2025)
Zonkey: A Hierarchical Diffusion Language Model with Differentiable Tokenization and Probabilistic Attention
by: Rozental, Alon
Published: (2026)
by: Rozental, Alon
Published: (2026)
Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models
by: Yuan, Chenchen, et al.
Published: (2025)
by: Yuan, Chenchen, et al.
Published: (2025)
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
by: Chuang, Yung-Sung, et al.
Published: (2024)
by: Chuang, Yung-Sung, et al.
Published: (2024)
Memory-based Language Models: An Efficient, Explainable, and Eco-friendly Approach to Large Language Modeling
by: Bosch, Antal van den, et al.
Published: (2025)
by: Bosch, Antal van den, et al.
Published: (2025)
Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
by: Ramos, Miguel Moura, et al.
Published: (2025)
by: Ramos, Miguel Moura, et al.
Published: (2025)
Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
by: Miao, Ziqi, et al.
Published: (2025)
by: Miao, Ziqi, et al.
Published: (2025)
Evaluating Contextually Mediated Factual Recall in Multilingual Large Language Models
by: Liu, Yihong, et al.
Published: (2026)
by: Liu, Yihong, et al.
Published: (2026)
Similar Items
-
Dynamic Rank Reinforcement Learning for Adaptive Low-Rank Multi-Head Self Attention in Large Language Models
by: Erden, Caner
Published: (2025) -
Hiding in Plain Sight: Finding MAHA on Reddit
by: Ahmed, Sabit, et al.
Published: (2026) -
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025) -
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models
by: Dong, Meiquan, et al.
Published: (2025) -
Attention Basin: Why Contextual Position Matters in Large Language Models
by: Yi, Zihao, et al.
Published: (2025)