Saved in:
| Main Authors: | Jiang, Weifan, Shahout, Rana, Du, Yilun, Mitzenmacher, Michael, Yu, Minlan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.24957 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Don't Stop Me Now: Embedding Based Scheduling for LLMs
by: Shahout, Rana, et al.
Published: (2024)
by: Shahout, Rana, et al.
Published: (2024)
From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing
by: Shahout, Rana, et al.
Published: (2025)
by: Shahout, Rana, et al.
Published: (2025)
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
by: Shahout, Rana, et al.
Published: (2024)
by: Shahout, Rana, et al.
Published: (2024)
SkipPredict: When to Invest in Predictions for Scheduling
by: Shahout, Rana, et al.
Published: (2024)
by: Shahout, Rana, et al.
Published: (2024)
Orla: A Library for Serving LLM-Based Multi-Agent Systems
by: Shahout, Rana, et al.
Published: (2026)
by: Shahout, Rana, et al.
Published: (2026)
Learning-Augmented Frequency Estimation in Sliding Windows
by: Shahout, Rana, et al.
Published: (2024)
by: Shahout, Rana, et al.
Published: (2024)
Fast Inference for Augmented Large Language Models
by: Shahout, Rana, et al.
Published: (2024)
by: Shahout, Rana, et al.
Published: (2024)
Queueing, Predictions, and LLMs: Challenges and Open Problems
by: Mitzenmacher, Michael, et al.
Published: (2025)
by: Mitzenmacher, Michael, et al.
Published: (2025)
Federated Learning Clients Clustering with Adaptation to Data Drifts
by: Li, Minghao, et al.
Published: (2024)
by: Li, Minghao, et al.
Published: (2024)
HACK: Homomorphic Acceleration via Compression of the Key-Value Cache for Disaggregated LLM Inference
by: Zhang, Zeyu, et al.
Published: (2025)
by: Zhang, Zeyu, et al.
Published: (2025)
PALS: Power-Aware LLM Serving for Mixture-of-Experts Models
by: Hankendi, Can, et al.
Published: (2026)
by: Hankendi, Can, et al.
Published: (2026)
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
by: Li, Minghao, et al.
Published: (2023)
by: Li, Minghao, et al.
Published: (2023)
An LLM-based Agentic Framework for Accessible Network Control
by: Lin, Samuel, et al.
Published: (2025)
by: Lin, Samuel, et al.
Published: (2025)
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference
by: Jiang, Xuanlin, et al.
Published: (2024)
by: Jiang, Xuanlin, et al.
Published: (2024)
Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM Serving
by: Shi, Xiaoxiang, et al.
Published: (2025)
by: Shi, Xiaoxiang, et al.
Published: (2025)
Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
by: Wong, Sherman, et al.
Published: (2025)
by: Wong, Sherman, et al.
Published: (2025)
Generalizable Reasoning through Compositional Energy Minimization
by: Oarga, Alexandru, et al.
Published: (2025)
by: Oarga, Alexandru, et al.
Published: (2025)
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression
by: Han, Wenchen, et al.
Published: (2024)
by: Han, Wenchen, et al.
Published: (2024)
Active learning with biased non-response to label requests
by: Robinson, Thomas, et al.
Published: (2023)
by: Robinson, Thomas, et al.
Published: (2023)
AIonopedia: an LLM agent orchestrating multimodal learning for ionic liquid discovery
by: Yin, Yuqi, et al.
Published: (2025)
by: Yin, Yuqi, et al.
Published: (2025)
Lyra: An Efficient and Expressive Subquadratic Architecture for Modeling Biological Sequences
by: Ramesh, Krithik, et al.
Published: (2025)
by: Ramesh, Krithik, et al.
Published: (2025)
Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)
by: Karan, Aayush, et al.
Published: (2025)
Breakpoint: Scalable evaluation of system-level reasoning in LLM code agents
by: Hariharan, Kaivalya, et al.
Published: (2025)
by: Hariharan, Kaivalya, et al.
Published: (2025)
Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey
by: Guan, Weifan, et al.
Published: (2025)
by: Guan, Weifan, et al.
Published: (2025)
Optimal and Near-Optimal Adaptive Vector Quantization
by: Ben-Basat, Ran, et al.
Published: (2024)
by: Ben-Basat, Ran, et al.
Published: (2024)
Position: agentic AI orchestration should be Bayes-consistent
by: Papamarkou, Theodore, et al.
Published: (2026)
by: Papamarkou, Theodore, et al.
Published: (2026)
Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
by: Wang, Runqian, et al.
Published: (2025)
by: Wang, Runqian, et al.
Published: (2025)
Self-rewarding correction for mathematical reasoning
by: Xiong, Wei, et al.
Published: (2025)
by: Xiong, Wei, et al.
Published: (2025)
A note on the impossibility of conditional PAC-efficient reasoning in large language models
by: Zeng, Hao
Published: (2025)
by: Zeng, Hao
Published: (2025)
Sample-efficient LLM Optimization with Reset Replay
by: Liu, Zichuan, et al.
Published: (2025)
by: Liu, Zichuan, et al.
Published: (2025)
Compositional Generative Modeling: A Single Model is Not All You Need
by: Du, Yilun, et al.
Published: (2024)
by: Du, Yilun, et al.
Published: (2024)
Grounding Video Models to Actions through Goal Conditioned Exploration
by: Luo, Yunhao, et al.
Published: (2024)
by: Luo, Yunhao, et al.
Published: (2024)
Intra-Trajectory Consistency for Reward Modeling
by: Zhou, Chaoyang, et al.
Published: (2025)
by: Zhou, Chaoyang, et al.
Published: (2025)
Looped Transformers for Length Generalization
by: Fan, Ying, et al.
Published: (2024)
by: Fan, Ying, et al.
Published: (2024)
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning
by: He, Pengfei, et al.
Published: (2024)
by: He, Pengfei, et al.
Published: (2024)
Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
by: Liu, Jiashun, et al.
Published: (2025)
by: Liu, Jiashun, et al.
Published: (2025)
DiPT: Enhancing LLM reasoning through diversified perspective-taking
by: Just, Hoang Anh, et al.
Published: (2024)
by: Just, Hoang Anh, et al.
Published: (2024)
NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics
by: Zhou, Jiawei, et al.
Published: (2024)
by: Zhou, Jiawei, et al.
Published: (2024)
Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven
by: Ben-Basat, Ran, et al.
Published: (2026)
by: Ben-Basat, Ran, et al.
Published: (2026)
DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce
by: Han, Wenchen, et al.
Published: (2026)
by: Han, Wenchen, et al.
Published: (2026)
Similar Items
-
Don't Stop Me Now: Embedding Based Scheduling for LLMs
by: Shahout, Rana, et al.
Published: (2024) -
From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing
by: Shahout, Rana, et al.
Published: (2025) -
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams
by: Shahout, Rana, et al.
Published: (2024) -
SkipPredict: When to Invest in Predictions for Scheduling
by: Shahout, Rana, et al.
Published: (2024) -
Orla: A Library for Serving LLM-Based Multi-Agent Systems
by: Shahout, Rana, et al.
Published: (2026)