GAR: Carbon-Aware Routing for LLM Inference via Constrained Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Sheshanarayana, Disha, Pal, Rajat Subhra, Sinha, Manjira, Dasgupta, Tirthankar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026)
by: Sheshanarayana, Disha, et al.
Published: (2026)
Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
by: Jana, Sudeshna, et al.
Published: (2025)
by: Jana, Sudeshna, et al.
Published: (2025)
StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting
by: Jana, Sudeshna, et al.
Published: (2025)
by: Jana, Sudeshna, et al.
Published: (2025)
ProofSketch: Efficient Verified Reasoning for Large Language Models
by: Sheshanarayana, Disha, et al.
Published: (2025)
by: Sheshanarayana, Disha, et al.
Published: (2025)
CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialogues
by: Sheshanarayana, Disha, et al.
Published: (2025)
by: Sheshanarayana, Disha, et al.
Published: (2025)
HeCiX: Integrating Knowledge Graphs and Large Language Models for Biomedical Research
by: Kulkarni, Prerana Sanjay, et al.
Published: (2024)
by: Kulkarni, Prerana Sanjay, et al.
Published: (2024)
Mapping Patient Trajectories: Understanding and Visualizing Sepsis Prognostic Pathways from Patients Clinical Narratives
by: Jana, Sudeshna, et al.
Published: (2024)
by: Jana, Sudeshna, et al.
Published: (2024)
ODAR: Principled Adaptive Routing for LLM Reasoning via Active Inference
by: Ma, Siyuan, et al.
Published: (2026)
by: Ma, Siyuan, et al.
Published: (2026)
GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
by: Wang, Ruida, et al.
Published: (2025)
by: Wang, Ruida, et al.
Published: (2025)
Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning
by: Hazra, Somnath, et al.
Published: (2025)
by: Hazra, Somnath, et al.
Published: (2025)
Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference
by: Chen, Huamin, et al.
Published: (2026)
by: Chen, Huamin, et al.
Published: (2026)
Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking
by: Singha, Disha
Published: (2026)
by: Singha, Disha
Published: (2026)
SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning
by: Xu, Zhongling, et al.
Published: (2026)
by: Xu, Zhongling, et al.
Published: (2026)
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference
by: Xue, Nan, et al.
Published: (2026)
by: Xue, Nan, et al.
Published: (2026)
Utilizing Lyapunov Exponents in designing deep neural networks
by: Mittra, Tirthankar
Published: (2024)
by: Mittra, Tirthankar
Published: (2024)
PROTEUS: SLA-Aware Routing via Lagrangian RL for Multi-LLM Serving Systems
by: Bhatti, Amit Singh, et al.
Published: (2026)
by: Bhatti, Amit Singh, et al.
Published: (2026)
Constraint-Aware Route Recommendation from Natural Language via Hierarchical LLM Agents
by: Zhe, Tao, et al.
Published: (2025)
by: Zhe, Tao, et al.
Published: (2025)
Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization
by: Wang, Xudong, et al.
Published: (2026)
by: Wang, Xudong, et al.
Published: (2026)
Dynamic Quality-Latency Aware Routing for LLM Inference in Wireless Edge-Device Networks
by: Bao, Rui, et al.
Published: (2025)
by: Bao, Rui, et al.
Published: (2025)
Outcome-Aware Tool Selection for Semantic Routers: Latency-Constrained Learning Without LLM Inference
by: Chen, Huamin, et al.
Published: (2026)
by: Chen, Huamin, et al.
Published: (2026)
Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
by: Wang, Mingyi, et al.
Published: (2026)
by: Wang, Mingyi, et al.
Published: (2026)
Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning
by: Xue, Zhiming, et al.
Published: (2026)
by: Xue, Zhiming, et al.
Published: (2026)
Carbon Intensity-Aware Adaptive Inference of DNNs
by: Jung, Jiwan
Published: (2024)
by: Jung, Jiwan
Published: (2024)
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
by: Lu, Yuxiao, et al.
Published: (2023)
by: Lu, Yuxiao, et al.
Published: (2023)
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning
by: Mittra, Tirthankar
Published: (2024)
by: Mittra, Tirthankar
Published: (2024)
AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size
by: Lu, Guanxi, et al.
Published: (2025)
by: Lu, Guanxi, et al.
Published: (2025)
NeSy-Route: A Neuro-Symbolic Benchmark for Constrained Route Planning in Remote Sensing
by: Yang, Ming, et al.
Published: (2026)
by: Yang, Ming, et al.
Published: (2026)
Network-Constrained Policy Optimization for Adaptive Multi-agent Vehicle Routing
by: Arasteh, Fazel, et al.
Published: (2025)
by: Arasteh, Fazel, et al.
Published: (2025)
CoGS: Model Agnostic Causality Constrained Counterfactual Explanations using goal-directed ASP
by: Dasgupta, Sopam, et al.
Published: (2024)
by: Dasgupta, Sopam, et al.
Published: (2024)
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
by: Makhija, Disha, et al.
Published: (2025)
by: Makhija, Disha, et al.
Published: (2025)
Design and Evaluation of Cost-Aware PoQ for Decentralized LLM Inference
by: Tian, Arther, et al.
Published: (2025)
by: Tian, Arther, et al.
Published: (2025)
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
by: Yu, Zishun, et al.
Published: (2025)
by: Yu, Zishun, et al.
Published: (2025)
Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization
by: Kancheti, Sai Srinivas, et al.
Published: (2026)
by: Kancheti, Sai Srinivas, et al.
Published: (2026)
Energy-Efficient Wireless LLM Inference via Uncertainty and Importance-Aware Speculative Decoding
by: Park, Jihoon, et al.
Published: (2025)
by: Park, Jihoon, et al.
Published: (2025)
CR-Bench: Evaluating the Real-World Utility of AI Code Review Agents
by: Pereira, Kristen, et al.
Published: (2026)
by: Pereira, Kristen, et al.
Published: (2026)
Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm
by: Khanda, Rajat
Published: (2024)
by: Khanda, Rajat
Published: (2024)
PickLLM: Context-Aware RL-Assisted Large Language Model Routing
by: Sikeridis, Dimitrios, et al.
Published: (2024)
by: Sikeridis, Dimitrios, et al.
Published: (2024)
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
by: Ding, Dujian, et al.
Published: (2024)
by: Ding, Dujian, et al.
Published: (2024)
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
by: Huang, Kaiyu, et al.
Published: (2026)
by: Huang, Kaiyu, et al.
Published: (2026)
RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents
by: Wang, Jize, et al.
Published: (2026)
by: Wang, Jize, et al.
Published: (2026)
Similar Items
-
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
by: Sheshanarayana, Disha, et al.
Published: (2026) -
Decoding Plastic Toxicity: An Intelligent Framework for Conflict-Aware Relational Metapath Extraction from Scientific Abstracts
by: Jana, Sudeshna, et al.
Published: (2025) -
StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting
by: Jana, Sudeshna, et al.
Published: (2025) -
ProofSketch: Efficient Verified Reasoning for Large Language Models
by: Sheshanarayana, Disha, et al.
Published: (2025) -
CLAIM: An Intent-Driven Multi-Agent Framework for Analyzing Manipulation in Courtroom Dialogues
by: Sheshanarayana, Disha, et al.
Published: (2025)