Saved in:
| Main Authors: | Damle, Sankarshan, Faltings, Boi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.06060 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Proposal for Networks Capable of Continual Learning
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
by: Erden, Zeki Doruk, et al.
Published: (2024)
by: Erden, Zeki Doruk, et al.
Published: (2024)
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
Foundations of a Developmental Design Paradigm for Integrated Continual Learning, Deliberative Behavior, and Comprehensibility
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
by: Rokvic, Ljubomir, et al.
Published: (2025)
by: Rokvic, Ljubomir, et al.
Published: (2025)
Designing Redistribution Mechanisms for Reducing Transaction Fees in Blockchains
by: Damle, Sankarshan, et al.
Published: (2024)
by: Damle, Sankarshan, et al.
Published: (2024)
Continual Reinforcement Learning via Autoencoder-Driven Task and New Environment Recognition
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation
by: Rokvic, Ljubomir, et al.
Published: (2022)
by: Rokvic, Ljubomir, et al.
Published: (2022)
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
by: Cui, Shaobo, et al.
Published: (2024)
by: Cui, Shaobo, et al.
Published: (2024)
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model
by: Shi, Zhuan, et al.
Published: (2024)
by: Shi, Zhuan, et al.
Published: (2024)
CopyJudge: Automated Copyright Infringement Identification and Mitigation in Text-to-Image Diffusion Models
by: Liu, Shunchang, et al.
Published: (2025)
by: Liu, Shunchang, et al.
Published: (2025)
A Logical Fallacy-Informed Framework for Argument Generation
by: Mouchel, Luca, et al.
Published: (2024)
by: Mouchel, Luca, et al.
Published: (2024)
Submodular Participatory Budgeting
by: Yuan, Jing, et al.
Published: (2024)
by: Yuan, Jing, et al.
Published: (2024)
Privacy-Aware Predictions in Participatory Budgeting
by: Zambrano, Juan, et al.
Published: (2025)
by: Zambrano, Juan, et al.
Published: (2025)
Analyzing Crowdfunding of Public Projects Under Dynamic Beliefs
by: Damle, Sankarshan, et al.
Published: (2024)
by: Damle, Sankarshan, et al.
Published: (2024)
Fair Compromises in Participatory Budgeting: a Multi-Agent Deep Reinforcement Learning Approach
by: Adams, Hugh, et al.
Published: (2025)
by: Adams, Hugh, et al.
Published: (2025)
Learning Aggregation Rules in Participatory Budgeting: A Data-Driven Approach
by: Fairstein, Roy, et al.
Published: (2024)
by: Fairstein, Roy, et al.
Published: (2024)
COSMIR: Chain Orchestrated Structured Memory for Iterative Reasoning over Long Context
by: Gupta, Naman, et al.
Published: (2025)
by: Gupta, Naman, et al.
Published: (2025)
Exploring Welfare Maximization and Fairness in Participatory Budgeting
by: Sreedurga, Gogulapati
Published: (2024)
by: Sreedurga, Gogulapati
Published: (2024)
On Time, Within Budget: Constraint-Driven Online Resource Allocation for Agentic Workflows
by: Wang, Xinglin, et al.
Published: (2026)
by: Wang, Xinglin, et al.
Published: (2026)
Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
by: Wan, Zhiyi, et al.
Published: (2025)
by: Wan, Zhiyi, et al.
Published: (2025)
CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs
by: Yao, Zhiyuan, et al.
Published: (2026)
by: Yao, Zhiyuan, et al.
Published: (2026)
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation
by: Li, Ziniu, et al.
Published: (2025)
by: Li, Ziniu, et al.
Published: (2025)
On the Parallels Between Evolutionary Theory and the State of AI
by: Erden, Zeki Doruk, et al.
Published: (2025)
by: Erden, Zeki Doruk, et al.
Published: (2025)
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
by: Liscio, Enrico, et al.
Published: (2024)
by: Liscio, Enrico, et al.
Published: (2024)
Centralization in Proof-of-Stake Blockchains: A Game-Theoretic Analysis of Bootstrapping Protocols
by: Srivastava, Varul, et al.
Published: (2024)
by: Srivastava, Varul, et al.
Published: (2024)
FedCDC: A Collaborative Framework for Data Consumers in Federated Learning Market
by: Shi, Zhuan, et al.
Published: (2025)
by: Shi, Zhuan, et al.
Published: (2025)
Exploring AI Capabilities in Participatory Budgeting within Smart Cities: The Case of Sao Paulo
by: Sousa, Italo Alberto, et al.
Published: (2025)
by: Sousa, Italo Alberto, et al.
Published: (2025)
Inferring Preferences from Demonstrations in Multi-objective Reinforcement Learning
by: Lu, Junlin, et al.
Published: (2024)
by: Lu, Junlin, et al.
Published: (2024)
No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design
by: Damle, Sankarshan, et al.
Published: (2024)
by: Damle, Sankarshan, et al.
Published: (2024)
DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs
by: Song, Mingxuan, et al.
Published: (2026)
by: Song, Mingxuan, et al.
Published: (2026)
Inferring Preferences from Demonstrations in Multi-Objective Residential Energy Management
by: Lu, Junlin, et al.
Published: (2024)
by: Lu, Junlin, et al.
Published: (2024)
SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning
by: Li, Zheng, et al.
Published: (2025)
by: Li, Zheng, et al.
Published: (2025)
Optimal Allocation of Privacy Budget on Hierarchical Data Release
by: Ko, Joonhyuk, et al.
Published: (2025)
by: Ko, Joonhyuk, et al.
Published: (2025)
Learning Fair and Preferable Allocations through Neural Network
by: Maruo, Ryota, et al.
Published: (2024)
by: Maruo, Ryota, et al.
Published: (2024)
LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation
by: Shen, Yiqun, et al.
Published: (2025)
by: Shen, Yiqun, et al.
Published: (2025)
DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards
by: Hu, Haoyu, et al.
Published: (2026)
by: Hu, Haoyu, et al.
Published: (2026)
Budgeted Attention Allocation: Cost-Conditioned Compute Control for Efficient Transformers
by: Nidhi, Amrit
Published: (2026)
by: Nidhi, Amrit
Published: (2026)
Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor
by: Törnberg, Petter, et al.
Published: (2026)
by: Törnberg, Petter, et al.
Published: (2026)
Similar Items
-
A Proposal for Networks Capable of Continual Learning
by: Erden, Zeki Doruk, et al.
Published: (2025) -
Agential AI for Integrated Continual Learning, Deliberative Behavior, and Comprehensible Models
by: Erden, Zeki Doruk, et al.
Published: (2025) -
Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
by: Erden, Zeki Doruk, et al.
Published: (2024) -
Evolutionary Developmental Biology Can Serve as the Conceptual Foundation for a New Design Paradigm in Artificial Intelligence
by: Erden, Zeki Doruk, et al.
Published: (2025) -
Foundations of a Developmental Design Paradigm for Integrated Continual Learning, Deliberative Behavior, and Comprehensibility
by: Erden, Zeki Doruk, et al.
Published: (2025)