· devops
[Paper] Majorum: Ebb-and-Flow Consensus with Dynamic Quorums
Dynamic availability is the ability of a consensus protocol to remain live despite honest participants going offline and later rejoining. A well-known limitatio...
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- · software
[Paper] Once Upon a Team: Investigating Bias in LLM-Driven Software Team Composition and Task Allocation
LLMs are increasingly used to boost productivity and support software engineering tasks. However, when applied to socially sensitive decisions such as team comp...
- · ai
[Paper] From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
As large language models (LLMs) evolve into autonomous agents, evaluating repository-level reasoning, the ability to maintain logical consistency across massive...
- · ai
[Paper] Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization
Time series forecasting plays a crucial role in contemporary engineering information systems for supporting decision-making across various industries, where Rec...
- · software
[Paper] Verbatim Data Transcription Failures in LLM Code Generation: A State-Tracking Stress Test
Many real-world software tasks require exact transcription of provided data into code, such as cryptographic constants, protocol test vectors, allowlists, and c...
- · software
[Paper] On the Robustness of Fairness Practices: A Causal Framework for Systematic Evaluation
Machine learning (ML) algorithms are increasingly deployed to make critical decisions in socioeconomic applications such as finance, criminal justice, and auton...
- · ai
[Paper] Local Gradient Regulation Stabilizes Federated Learning under Client Heterogeneity
Federated learning (FL) enables collaborative model training across distributed clients without sharing raw data, yet its stability is fundamentally challenged ...
- · ai
[Paper] A Reinforcement Learning-Based Model for Mapping and Goal-Directed Navigation Using Multiscale Place Fields
Autonomous navigation in complex and partially observable environments remains a central challenge in robotics. Several bio-inspired models of mapping and navig...
- · ai
[Paper] Evolving Programmatic Skill Networks
We study continual skill acquisition in open-ended embodied environments where an agent must construct, refine, and reuse an expanding library of executable ski...
- · ai
[Paper] Better, But Not Sufficient: Testing Video ANNs Against Macaque IT Dynamics
Feedforward artificial neural networks (ANNs) trained on static images remain the dominant models of the the primate ventral visual stream, yet they are intrins...
- · devops
[Paper] Revisiting Speculative Leaderless Protocols for Low-Latency BFT Replication
As Byzantine Fault Tolerant (BFT) protocols begin to be used in permissioned blockchains for user-facing applications such as payments, it is crucial that they ...
- · ai
[Paper] Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training
We present Muses, the first training-free method for fantastic 3D creature generation in a feed-forward paradigm. Previous methods, which rely on part-aware opt...