:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Umer, Muhammad, Mohsin, Muhammad Ahmed, Bilal, Ahsan, Chaudhry, Arslan, Haupt, Andreas, Koyejo, Sanmi, Fox, Emily, Cioffi, John M.
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Computation and Language
Accesso online:	https://arxiv.org/abs/2605.18721
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Continuous-Utility Direct Preference Optimization
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2026)

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey
di: Bilal, Ahsan, et al.
Pubblicazione: (2025)

Epistemic Uncertainty for Test-Time Discovery
di: Riaz, Kainat, et al.
Pubblicazione: (2026)

Neural Gaussian Radio Fields for Channel Estimation
di: Umer, Muhammad, et al.
Pubblicazione: (2025)

Canonical Optimization for MIMO MAC Design
di: Umer, Muhammad, et al.
Pubblicazione: (2026)

Pressure, What Pressure? Sycophancy Disentanglement in Language Models via Reward Decomposition
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2026)

Scalable Ensembling For Mitigating Reward Overoptimisation
di: Ahmed, Ahmed M., et al.
Pubblicazione: (2024)

Continual Learning for Wireless Channel Prediction
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Discovering Implicit Large Language Model Alignment Objectives
di: Chen, Edward, et al.
Pubblicazione: (2026)

Extracting books from production language models
di: Ahmed, Ahmed, et al.
Pubblicazione: (2026)

Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

What If We Allocate Test-Time Compute Adaptively?
di: Bilal, Ahsan, et al.
Pubblicazione: (2026)

Reasoning Models Don't Just Think Longer, They Move Differently
di: Gjølbye, Anders, et al.
Pubblicazione: (2026)

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models
di: Bilal, Ahsan, et al.
Pubblicazione: (2026)

6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Channel Prediction under Network Distribution Shift Using Continual Learning-based Loss Regularization
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
di: Haupt, Andreas, et al.
Pubblicazione: (2026)

Meta-Reinforcement Learning for Fast and Data-Efficient Spectrum Allocation in Dynamic Wireless Networks
di: Giwa, Oluwaseyi, et al.
Pubblicazione: (2025)

Transformer-Based Sparse CSI Estimation for Non-Stationary Channels
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Don't Walk the Line: Boundary Guidance for Filtered Generation
di: Ball, Sarah, et al.
Pubblicazione: (2025)

Finetuning Language Models to Emit Linguistic Expressions of Uncertainty
di: Chaudhry, Arslan, et al.
Pubblicazione: (2024)

Why Do Safety Guardrails Degrade Across Languages?
di: Zhang, Max, et al.
Pubblicazione: (2026)

Logits are All We Need to Adapt Closed Models
di: Hiranandani, Gaurush, et al.
Pubblicazione: (2025)

Latent Adversarial Regularization for Offline Preference Optimization
di: Jiang, Enyi, et al.
Pubblicazione: (2026)

Conditional Prior-based Non-stationary Channel Estimation Using Accelerated Diffusion Models
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Quantifying the Effect of Test Set Contamination on Generative Evaluations
di: Schaeffer, Rylan, et al.
Pubblicazione: (2026)

Scaling Laws for Downstream Task Performance of Large Language Models
di: Isik, Berivan, et al.
Pubblicazione: (2024)

Is Pre-training Truly Better Than Meta-Learning?
di: Miranda, Brando, et al.
Pubblicazione: (2023)

Retrieval Augmented Generation with Multi-Modal LLM Framework for Wireless Environments
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

The Collapse of Heterogeneity in Silicon Philosophers
di: Shi, Yuanming, et al.
Pubblicazione: (2026)

Reliable and Efficient Amortized Model-based Evaluation
di: Truong, Sang, et al.
Pubblicazione: (2025)

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
di: Schaeffer, Rylan, et al.
Pubblicazione: (2025)

Structured Prompts Improve Evaluation of Language Models
di: Aali, Asad, et al.
Pubblicazione: (2025)

From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
di: Zhou, Zhanke, et al.
Pubblicazione: (2025)

Single layer tiny Co$^4$ outpaces GPT-2 and GPT-BERT
di: Zain, Noor Ul, et al.
Pubblicazione: (2025)

Lean-ing on Quality: How High-Quality Data Beats Diverse Multilingual Data in AutoFormalization
di: Chan, Willy, et al.
Pubblicazione: (2025)

Task and Perception-aware Distributed Source Coding for Correlated Speech under Bandwidth-constrained Channels
di: Bhattacharya, Sagnik, et al.
Pubblicazione: (2025)

On the Fundamental Limits of LLMs at Scale
di: Mohsin, Muhammad Ahmed, et al.
Pubblicazione: (2025)

Quantifying the Importance of Data Alignment in Downstream Model Performance
di: Chawla, Krrish, et al.
Pubblicazione: (2025)

ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment
di: Obbad, Elyas, et al.
Pubblicazione: (2024)