Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Xinyu, An, Yuwei, Liu, Hongyi, Chen, Tianqi, Chen, Beidi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
by: Yang, Xinyu, et al.
Published: (2025)
by: Yang, Xinyu, et al.
Published: (2025)
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
by: Sun, Hanshi, et al.
Published: (2024)
by: Sun, Hanshi, et al.
Published: (2024)
VcLLM: Video Codecs are Secretly Tensor Codecs
by: Xu, Ceyu, et al.
Published: (2024)
by: Xu, Ceyu, et al.
Published: (2024)
It Takes Two: Your GRPO Is Secretly DPO
by: Wu, Yihong, et al.
Published: (2025)
by: Wu, Yihong, et al.
Published: (2025)
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution
by: Chen, Jianwen, et al.
Published: (2026)
by: Chen, Jianwen, et al.
Published: (2026)
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
by: Chen, Yi-Chung, et al.
Published: (2025)
by: Chen, Yi-Chung, et al.
Published: (2025)
Prosperity before Collapse: How Far Can Off-Policy RL Reach with Stale Data on LLMs?
by: Zheng, Haizhong, et al.
Published: (2025)
by: Zheng, Haizhong, et al.
Published: (2025)
Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph
by: Liu, Ning, et al.
Published: (2026)
by: Liu, Ning, et al.
Published: (2026)
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
by: Zhang, Zhenyu, et al.
Published: (2024)
by: Zhang, Zhenyu, et al.
Published: (2024)
From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function
by: Rafailov, Rafael, et al.
Published: (2024)
by: Rafailov, Rafael, et al.
Published: (2024)
How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)
by: Dziadzio, Sebastian, et al.
Published: (2024)
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
by: Zheng, Kaiwen, et al.
Published: (2025)
by: Zheng, Kaiwen, et al.
Published: (2025)
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)
by: Chen, Huanran, et al.
Published: (2024)
Your Policy Regularizer is Secretly an Adversary
by: Brekelmans, Rob, et al.
Published: (2022)
by: Brekelmans, Rob, et al.
Published: (2022)
DLM-One: Diffusion Language Models for One-Step Sequence Generation
by: Chen, Tianqi, et al.
Published: (2025)
by: Chen, Tianqi, et al.
Published: (2025)
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF
by: Lu, Taiming, et al.
Published: (2024)
by: Lu, Taiming, et al.
Published: (2024)
MergeIT: From Selection to Merging for Efficient Instruction Tuning
by: Cai, Hongyi, et al.
Published: (2025)
by: Cai, Hongyi, et al.
Published: (2025)
Your Image is Secretly the Last Frame of a Pseudo Video
by: Chen, Wenlong, et al.
Published: (2024)
by: Chen, Wenlong, et al.
Published: (2024)
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models
by: Geiping, Jonas, et al.
Published: (2025)
by: Geiping, Jonas, et al.
Published: (2025)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
The C-index Multiverse
by: Sierra, Begoña B., et al.
Published: (2025)
by: Sierra, Begoña B., et al.
Published: (2025)
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
by: Rafailov, Rafael, et al.
Published: (2023)
by: Rafailov, Rafael, et al.
Published: (2023)
Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training
by: Zhou, Wenjie, et al.
Published: (2026)
by: Zhou, Wenjie, et al.
Published: (2026)
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
by: Kallus, Nathan
Published: (2025)
by: Kallus, Nathan
Published: (2025)
Your Dense Retriever is Secretly an Expeditious Reasoner
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning
by: Kim, Taehoon, et al.
Published: (2025)
by: Kim, Taehoon, et al.
Published: (2025)
DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction
by: Zhang, Yanqi, et al.
Published: (2024)
by: Zhang, Yanqi, et al.
Published: (2024)
Parallel Scaling Law for Language Models
by: Chen, Mouxiang, et al.
Published: (2025)
by: Chen, Mouxiang, et al.
Published: (2025)
Merge and Guide: Unifying Model Merging and Guided Decoding for Controllable Multi-Objective Generation
by: Xie, Guofu, et al.
Published: (2025)
by: Xie, Guofu, et al.
Published: (2025)
Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems
by: Miao, Xupeng, et al.
Published: (2023)
by: Miao, Xupeng, et al.
Published: (2023)
GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Orthogonal Model Merging
by: Yang, Sihan, et al.
Published: (2026)
by: Yang, Sihan, et al.
Published: (2026)
Your Transformer is Secretly Linear
by: Razzhigaev, Anton, et al.
Published: (2024)
by: Razzhigaev, Anton, et al.
Published: (2024)
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
by: Li, Ziyue, et al.
Published: (2024)
by: Li, Ziyue, et al.
Published: (2024)
Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline
by: Lee, Tony, et al.
Published: (2026)
by: Lee, Tony, et al.
Published: (2026)
Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
by: Chen, Weiyu, et al.
Published: (2024)
by: Chen, Weiyu, et al.
Published: (2024)
DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering
by: Yang, Ruohong, et al.
Published: (2024)
by: Yang, Ruohong, et al.
Published: (2024)
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Autospeculation
by: Hu, Hengyuan, et al.
Published: (2025)
by: Hu, Hengyuan, et al.
Published: (2025)
FedMerge: Federated Personalization via Model Merging
by: Chen, Shutong, et al.
Published: (2025)
by: Chen, Shutong, et al.
Published: (2025)
Similar Items
-
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
by: Yang, Xinyu, et al.
Published: (2025) -
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
by: Sun, Hanshi, et al.
Published: (2024) -
VcLLM: Video Codecs are Secretly Tensor Codecs
by: Xu, Ceyu, et al.
Published: (2024) -
It Takes Two: Your GRPO Is Secretly DPO
by: Wu, Yihong, et al.
Published: (2025) -
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution
by: Chen, Jianwen, et al.
Published: (2026)