AI
Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads
Researchers have analyzed the memory consumption of large language model (LLM) inference on a single...
AI
Platform Adaptation Under Governance Interventions: Actor Best-Response Modeling and an External Public-Case Benchmark
Researchers have developed a model to evaluate the impact of digital platform governance interventio...
AI
ReForge: Keeping ABR Algorithms Never Finished with Verified Large Language Model Edits
Researchers have proposed a framework called ReForge that allows an ABR algorithm to adapt to changi...
AI
Translating finite-domain integer constraint models to CP/SMT/ILP/PB/SAT solvers with CPMpy
Researchers have developed a tool called CPMpy that can translate high-level constraint satisfaction...
AI
ACTS-SQL: Agentic and Critic-Oriented Tree-Structured SQL Correctness with Large Language Models
Researchers have developed a training-free framework for correcting SQL errors i...
AI
Constitutive Priors for Machine Intelligence: A Legitimacy Theory of the Artificial Physical World
Researchers propose a new approach to machine intelligence that focuses on the '...
AI
SkillCommit: Evolving Agent Skills through Behaviorally Validated Scope Expansion
Researchers propose a new framework called SkillCommit to improve the performanc...
AI
LongRCA Bench: Diagnosing Responsible Roles and Root Causes in Long-Horizon Agent Failures
Researchers have developed a new benchmark called LongRCA Bench to help diagnose...