Saved in:
| Main Authors: | Agyemang, Justice Owusu, Agyare, Michael, Kobbinah, Miriam, Agbugblah, Nathaniel, Addo, Prosper |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.16736 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents
by: Agyemang, Justice Owusu, et al.
Published: (2026)
by: Agyemang, Justice Owusu, et al.
Published: (2026)
Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads
by: Agyemang, Justice Owusu, et al.
Published: (2026)
by: Agyemang, Justice Owusu, et al.
Published: (2026)
HiveMind: OS-Inspired Scheduling for Concurrent LLM Agent Workloads
by: Agyemang, Justice Owusu, et al.
Published: (2026)
by: Agyemang, Justice Owusu, et al.
Published: (2026)
LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests
by: Agyemang, Justice Owusu, et al.
Published: (2026)
by: Agyemang, Justice Owusu, et al.
Published: (2026)
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks
by: Owusu, Evans Tetteh, et al.
Published: (2025)
by: Owusu, Evans Tetteh, et al.
Published: (2025)
Robustness Analysis of Machine Learning Models for IoT Intrusion Detection Under Data Poisoning Attacks
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
by: Wulnye, Fortunatus Aabangbio, et al.
Published: (2026)
The Streaming Reservoir Convergence Theorem: A Prospect-Theoretic Framework for Multi-Provider Adaptive Streaming
by: Agyemang, Justice Owusu, et al.
Published: (2026)
by: Agyemang, Justice Owusu, et al.
Published: (2026)
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost
by: Nayab, Sania, et al.
Published: (2024)
by: Nayab, Sania, et al.
Published: (2024)
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)
by: Chen, Hongjiang, et al.
Published: (2026)
AgentSHAP: Interpreting LLM Agent Tool Importance with Monte Carlo Shapley Value Estimation
by: Horovicz, Miriam
Published: (2025)
by: Horovicz, Miriam
Published: (2025)
GCPO: When Contrast Fails, Go Gold
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study
by: Walters, Michael, et al.
Published: (2025)
by: Walters, Michael, et al.
Published: (2025)
Agent Factories for High Level Synthesis: How Far Can General-Purpose Coding Agents Go in Hardware Optimization?
by: Bhandwaldar, Abhishek, et al.
Published: (2026)
by: Bhandwaldar, Abhishek, et al.
Published: (2026)
GoNoGo: An Efficient LLM-based Multi-Agent System for Streamlining Automotive Software Release Decision-Making
by: Khoee, Arsham Gholamzadeh, et al.
Published: (2024)
by: Khoee, Arsham Gholamzadeh, et al.
Published: (2024)
Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space
by: Materzok, Tobias
Published: (2026)
by: Materzok, Tobias
Published: (2026)
Enhancing Computational Efficiency in High-Dimensional Bayesian Analysis: Applications to Cancer Genomics
by: Agyare, Benjamin Osafo
Published: (2024)
by: Agyare, Benjamin Osafo
Published: (2024)
Reducing Cost of LLM Agents with Trajectory Reduction
by: Xiao, Yuan-An, et al.
Published: (2025)
by: Xiao, Yuan-An, et al.
Published: (2025)
When Agents Disagree With Themselves: Measuring Behavioral Consistency in LLM-Based Agents
by: Mehta, Aman
Published: (2026)
by: Mehta, Aman
Published: (2026)
Separating Diagnosis from Control: Auditable Policy Adaptation in Agent-Based Simulations with LLM-Based Diagnostics
by: Zhong, Shaoxin, et al.
Published: (2026)
by: Zhong, Shaoxin, et al.
Published: (2026)
Learning to Ask: When LLM Agents Meet Unclear Instruction
by: Wang, Wenxuan, et al.
Published: (2024)
by: Wang, Wenxuan, et al.
Published: (2024)
Toxicity Assessment of Heavy Metals in Leachate From Dredged Sediments Deposited Near Residential Areas: Implications for Environmental and Human Health Risk
by: Richard Osae, et al.
Published: (2025)
by: Richard Osae, et al.
Published: (2025)
Agentic Trading: When LLM Agents Meet Financial Markets
by: Xia, Yihan, et al.
Published: (2026)
by: Xia, Yihan, et al.
Published: (2026)
Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
by: Ding, Wenxuan, et al.
Published: (2026)
by: Ding, Wenxuan, et al.
Published: (2026)
Clinical Profile and Admission Outcomes of Patients With Acute Pulmonary Embolism at a Resource‐Constrained Hospital in Ghana: A Retrospective Pilot Study
by: Prosper Adjei, et al.
Published: (2026)
by: Prosper Adjei, et al.
Published: (2026)
Controlling Output Rankings in Generative Engines for LLM-based Search
by: Jin, Haibo, et al.
Published: (2026)
by: Jin, Haibo, et al.
Published: (2026)
Agentic Unlearning: When LLM Agent Meets Machine Unlearning
by: Wang, Bin, et al.
Published: (2026)
by: Wang, Bin, et al.
Published: (2026)
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
by: Si, Wenwen, et al.
Published: (2025)
by: Si, Wenwen, et al.
Published: (2025)
ClawTrace: Cost-Aware Tracing for LLM Agent Skill Distillation
by: Yuan, Boqin, et al.
Published: (2026)
by: Yuan, Boqin, et al.
Published: (2026)
Proactive Distributed Emergency Response with Heterogeneous Tasks Allocation
by: Darko, Justice, et al.
Published: (2022)
by: Darko, Justice, et al.
Published: (2022)
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
by: Wang, Zongwei, et al.
Published: (2026)
by: Wang, Zongwei, et al.
Published: (2026)
When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs
by: Kim, Hanna, et al.
Published: (2024)
by: Kim, Hanna, et al.
Published: (2024)
Self-Attribution Bias: When AI Monitors Go Easy on Themselves
by: Khullar, Dipika, et al.
Published: (2026)
by: Khullar, Dipika, et al.
Published: (2026)
The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget
by: Pan, Dangfeng, et al.
Published: (2025)
by: Pan, Dangfeng, et al.
Published: (2025)
When Agents Persuade: Rhetoric Generation and Mitigation in LLMs
by: Jose, Julia, et al.
Published: (2026)
by: Jose, Julia, et al.
Published: (2026)
DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
by: Li, Pingzhi, et al.
Published: (2025)
by: Li, Pingzhi, et al.
Published: (2025)
The Problem of Social Cost in Multi-Agent General Reinforcement Learning: Survey and Synthesis
by: Ng, Kee Siong, et al.
Published: (2024)
by: Ng, Kee Siong, et al.
Published: (2024)
Learning When to Plan: Efficiently Allocating Test-Time Compute for LLM Agents
by: Paglieri, Davide, et al.
Published: (2025)
by: Paglieri, Davide, et al.
Published: (2025)
When Agents Disagree: The Selection Bottleneck in Multi-Agent LLM Pipelines
by: Maryanskyy, Artem
Published: (2026)
by: Maryanskyy, Artem
Published: (2026)
Cost-Saving LLM Cascades with Early Abstention
by: Zellinger, Michael J., et al.
Published: (2025)
by: Zellinger, Michael J., et al.
Published: (2025)
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
by: Doh, Miriam, et al.
Published: (2025)
by: Doh, Miriam, et al.
Published: (2025)
Similar Items
-
Resilient Write: A Six-Layer Durable Write Surface for LLM Coding Agents
by: Agyemang, Justice Owusu, et al.
Published: (2026) -
Local-Splitter: A Measurement Study of Seven Tactics for Reducing Cloud LLM Token Usage on Coding-Agent Workloads
by: Agyemang, Justice Owusu, et al.
Published: (2026) -
HiveMind: OS-Inspired Scheduling for Concurrent LLM Agent Workloads
by: Agyemang, Justice Owusu, et al.
Published: (2026) -
LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests
by: Agyemang, Justice Owusu, et al.
Published: (2026) -
A transformer-based deep q learning approach for dynamic load balancing in software-defined networks
by: Owusu, Evans Tetteh, et al.
Published: (2025)