SpectR: Dynamically Composing LM Experts with Spectral Routing
Fuente:
arXiv
Saved in:
| Main Authors: | Fleshman, William, Van Durme, Benjamin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SEQR: Secure and Efficient QR-based LoRA Routing
by: Fleshman, William, et al.
Published: (2025)
by: Fleshman, William, et al.
Published: (2025)
LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
by: Fleshman, William, et al.
Published: (2025)
by: Fleshman, William, et al.
Published: (2025)
RE-Adapt: Reverse Engineered Adaptation of Large Language Models
by: Fleshman, William, et al.
Published: (2024)
by: Fleshman, William, et al.
Published: (2024)
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
by: Fleshman, William, et al.
Published: (2024)
by: Fleshman, William, et al.
Published: (2024)
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
by: Fleshman, William, et al.
Published: (2024)
by: Fleshman, William, et al.
Published: (2024)
Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting
by: Hu, Michael Y., et al.
Published: (2025)
by: Hu, Michael Y., et al.
Published: (2025)
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
by: Wang, Liaoyaqi, et al.
Published: (2025)
by: Wang, Liaoyaqi, et al.
Published: (2025)
LM Agents for Coordinating Multi-User Information Gathering
by: Jhamtani, Harsh, et al.
Published: (2025)
by: Jhamtani, Harsh, et al.
Published: (2025)
Do Androids Know They're Only Dreaming of Electric Sheep?
by: CH-Wang, Sky, et al.
Published: (2023)
by: CH-Wang, Sky, et al.
Published: (2023)
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
by: Wang, Boshi, et al.
Published: (2024)
by: Wang, Boshi, et al.
Published: (2024)
Multilingual Routing in Mixture-of-Experts
by: Bandarkar, Lucas, et al.
Published: (2025)
by: Bandarkar, Lucas, et al.
Published: (2025)
Routing-Free Mixture-of-Experts
by: Liu, Yilun, et al.
Published: (2026)
by: Liu, Yilun, et al.
Published: (2026)
MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools
by: Subramani, Nishant, et al.
Published: (2025)
by: Subramani, Nishant, et al.
Published: (2025)
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
by: Jiang, Dongwei, et al.
Published: (2024)
by: Jiang, Dongwei, et al.
Published: (2024)
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
by: Marone, Marc, et al.
Published: (2025)
by: Marone, Marc, et al.
Published: (2025)
Probing Semantic Routing in Large Mixture-of-Expert Models
by: Olson, Matthew Lyle, et al.
Published: (2025)
by: Olson, Matthew Lyle, et al.
Published: (2025)
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
by: Ruan, Yangjun, et al.
Published: (2023)
by: Ruan, Yangjun, et al.
Published: (2023)
EvoLM: In Search of Lost Language Model Training Dynamics
by: Qi, Zhenting, et al.
Published: (2025)
by: Qi, Zhenting, et al.
Published: (2025)
Polysemantic Experts, Monosemantic Paths: Routing as Control in MoEs
by: Ye, Charles, et al.
Published: (2026)
by: Ye, Charles, et al.
Published: (2026)
Dynamic Latent Routing
by: Yu, Fangyuan, et al.
Published: (2026)
by: Yu, Fangyuan, et al.
Published: (2026)
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass
by: Chen, Tong, et al.
Published: (2024)
by: Chen, Tong, et al.
Published: (2024)
Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking, and Routing
by: Watson, William, et al.
Published: (2024)
by: Watson, William, et al.
Published: (2024)
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection
by: Niu, Tianyi, et al.
Published: (2026)
by: Niu, Tianyi, et al.
Published: (2026)
Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills
by: Chen, Justin Chih-Yao, et al.
Published: (2025)
by: Chen, Justin Chih-Yao, et al.
Published: (2025)
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
by: Liu, Yilun, et al.
Published: (2025)
by: Liu, Yilun, et al.
Published: (2025)
Steer2Adapt: Dynamically Composing Steering Vectors Elicits Efficient Adaptation of LLMs
by: Han, Pengrui, et al.
Published: (2026)
by: Han, Pengrui, et al.
Published: (2026)
MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling
by: Thiombiano, Abdoul Majid O., et al.
Published: (2025)
by: Thiombiano, Abdoul Majid O., et al.
Published: (2025)
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning
by: Yadav, Prateek, et al.
Published: (2024)
by: Yadav, Prateek, et al.
Published: (2024)
Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
by: Han, Yixuan, et al.
Published: (2025)
by: Han, Yixuan, et al.
Published: (2025)
Dr.LLM: Dynamic Layer Routing in LLMs
by: Heakl, Ahmed, et al.
Published: (2025)
by: Heakl, Ahmed, et al.
Published: (2025)
SensorLM: Learning the Language of Wearable Sensors
by: Zhang, Yuwei, et al.
Published: (2025)
by: Zhang, Yuwei, et al.
Published: (2025)
Mixture-of-Experts as Soft Clustering: A Dual Jacobian-PCA Spectral Geometry Perspective
by: Liu, Feilong
Published: (2026)
by: Liu, Feilong
Published: (2026)
Dodo: Dynamic Contextual Compression for Decoder-only LMs
by: Qin, Guanghui, et al.
Published: (2023)
by: Qin, Guanghui, et al.
Published: (2023)
Limits of Transformer Language Models on Learning to Compose Algorithms
by: Thomm, Jonathan, et al.
Published: (2024)
by: Thomm, Jonathan, et al.
Published: (2024)
CodecLM: Aligning Language Models with Tailored Synthetic Data
by: Wang, Zifeng, et al.
Published: (2024)
by: Wang, Zifeng, et al.
Published: (2024)
FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
Olmix: A Framework for Data Mixing Throughout LM Development
by: Chen, Mayee F., et al.
Published: (2026)
by: Chen, Mayee F., et al.
Published: (2026)
Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing
by: Zhang, Yi-Kai, et al.
Published: (2025)
by: Zhang, Yi-Kai, et al.
Published: (2025)
TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
by: Xing, Xiaobo, et al.
Published: (2025)
by: Xing, Xiaobo, et al.
Published: (2025)
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models
by: Araujo, Vladimir, et al.
Published: (2024)
by: Araujo, Vladimir, et al.
Published: (2024)
Similar Items
-
SEQR: Secure and Efficient QR-based LoRA Routing
by: Fleshman, William, et al.
Published: (2025) -
LoRA-Augmented Generation (LAG) for Knowledge-Intensive Language Tasks
by: Fleshman, William, et al.
Published: (2025) -
RE-Adapt: Reverse Engineered Adaptation of Large Language Models
by: Fleshman, William, et al.
Published: (2024) -
RE-AdaptIR: Improving Information Retrieval through Reverse Engineered Adaptation
by: Fleshman, William, et al.
Published: (2024) -
AdapterSwap: Continuous Training of LLMs with Data Removal and Access-Control Guarantees
by: Fleshman, William, et al.
Published: (2024)