arXiv Artificial IntelligenceCodebook Agent: Amortized Topology Design for LLM Multi-Agent Systems
arXiv:2609.02264v1 Announce Type: new Abstract: Adapting the communication topology of an LLM multi-agent…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceAPEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering
arXiv:2609.02253v1 Announce Type: new Abstract: Deep research agents augment large language models with…
arXiv Artificial IntelligenceLLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails
arXiv:2609.02246v1 Announce Type: new Abstract: Self-improving agent pipelines have a problem at their…
arXiv Artificial IntelligenceTask-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training
arXiv:2609.02244v1 Announce Type: new Abstract: Large language models (LLMs) often struggle when low-resource…
arXiv Artificial IntelligencePropose to Learn, Learn to Propose: Evaluability-Aware Assistance under Bounded Rationality
arXiv:2609.02242v1 Announce Type: new Abstract: AI assistants often collaborate by proposing candidate edits…
arXiv Artificial IntelligencePGPO: Potential-Guided Policy Optimization for Multi-Turn Agentic Tasks
arXiv:2609.02236v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) has become an…
arXiv Artificial IntelligencePhoenixNest-Video: Evidence-Grounded Multimodal Agent Framework for Automated Video Interview Assessment
arXiv:2609.02231v1 Announce Type: new Abstract: Interview assessment requires per-criterion judgments…
arXiv Artificial IntelligenceSkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
arXiv:2609.02217v1 Announce Type: new Abstract: LLM agents increasingly self-improve by writing and reusing…
arXiv Artificial IntelligencePEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion
arXiv:2609.02216v1 Announce Type: new Abstract: Inductive knowledge graph completion (IKGC) aims to predict…
arXiv Artificial IntelligenceASCII Attack: Recontextualising Harmful Requests as Artistic Critique in Large Language Models
arXiv:2609.02215v1 Announce Type: new Abstract: Safety alignment trains large language models to refuse…
arXiv Artificial IntelligenceExamining the Vulnerability of Multi-Agent Medical Systems to Human Interventions for Clinical Reasoning
arXiv:2609.02191v1 Announce Type: new Abstract: Human interventions at fault points can alter the diagnostic…
arXiv Artificial IntelligenceFUSE: An Evaluating Framework for Dangerous Capabilities of LLMs
arXiv:2609.02168v1 Announce Type: new Abstract: Fragmented safety evaluation undermines the governance of…
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