CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem
CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem This paper explores a hybrid approach to solving the Partial Shop Scheduling Prob...
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CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem This paper explores a hybrid approach to solving the Partial Shop Scheduling Prob...
MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection Modern AI agents often use persistent memory to...
Language agents are increasingly using "skills"—structured, procedural instructions distilled from past experiences—to improve their performance without need...
SkillOpt: Executive Strategy for Self-Evolving Agent Skills The researchers behind SkillOpt address a fundamental challenge in AI agent development: how to r...
Agentic Proving for Program Verification This paper investigates how modern "agentic" AI systems—which use planning, tool use, and iterative refinement—perfo...
Beyond Binary Edits: Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment Multimodal Large Language Models (MLLMs) are powerful tools that...
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents Modern life-simulation games rely on hundreds or thousands of non-pl...
Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents Search-intensive AI agents often struggle with "ReAct" tasks—where they must decide step-by-st...
Solving the Aircraft Disassembly Scheduling Problem addresses the logistical challenge of dismantling end-of-life aircraft efficiently.
Beyond the Org Chart: AI and the Transformation of Invisible Work This research explores how the integration of artificial intelligence into the workplace is...
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