arXiv Artificial IntelligenceContrastive Explanations in Quantitative Bipolar Argumentation Frameworks
arXiv:2609.02399v1 Announce Type: new Abstract: Argumentation frameworks are useful tools for representing…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceDiagnosing with Insights: Structured Analysis of Agent Failures via Behavioral Abstractions
arXiv:2609.02371v1 Announce Type: new Abstract: With the proliferation of LLM agents, the ability to…
arXiv Artificial IntelligenceSALA: Semantic-Aware Logical Alignment for Complex Reasoning in In-Context Learning
arXiv:2609.02336v1 Announce Type: new Abstract: Effective in-context learning (ICL) for complex reasoning…
arXiv Artificial IntelligenceImproving Evaluation Realism with Inference-Time Compute and Deployment Scaffolds
arXiv:2609.02302v1 Announce Type: new Abstract: A core obstacle to alignment evaluation is evaluation…
arXiv Artificial IntelligenceSCX Router: Streaming Zero-Shot Model Selection with a Decoder-KV Classifier and a Real-World Task Ontology
arXiv:2609.02292v1 Announce Type: new Abstract: The rapid proliferation of large language models (LLMs) and…
arXiv Artificial IntelligenceCoMerge: Conflict-Driven Preference Optimization for Multi-Task Model Merging
arXiv:2609.02273v1 Announce Type: new Abstract: Model merging provides an efficient paradigm for constructing…
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…
arXiv 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…
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