arXiv Artificial IntelligenceFailForge: Distilling Procedural Competence from Persistent Failures into Code Agents
arXiv:2608.08570v1 Announce Type: new Abstract: Rejection sampling fine-tuning (RFT) is widely used to train…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceVoxZip: Semantic-Anchored Temporal KV Cache Compression for Long-Context Audio Inference
arXiv:2608.08569v1 Announce Type: new Abstract: Recent advancements in Speech Large Language Models have…
arXiv Artificial IntelligenceDeep probabilistic logic programming for diagnostic reasoning from incomplete information: A case study in stroke detection
arXiv:2608.08561v1 Announce Type: new Abstract: In medical applications, raw data is frequently associated…
arXiv Artificial IntelligenceDiscovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization
arXiv:2608.08523v1 Announce Type: new Abstract: Multimodal embodied agents are increasingly required to solve…
arXiv Artificial IntelligenceReproducing and Stress-Testing Two Approaches to LLM Reasoning Reliability: Test-Time Probability Aggregation and Logic-Representation Editing
arXiv:2608.08514v1 Announce Type: new Abstract: We independently reproduce two recent methods for making…
arXiv Artificial IntelligenceUnderstanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs
arXiv:2608.08506v1 Announce Type: new Abstract: Training-free low-rank compression frameworks have been…
arXiv Artificial IntelligenceMathShikkha: A Controlled Study of Answer-Only and Chain-of-Thought Supervision for Bangla Mathematical Reasoning in Small Language Models
arXiv:2608.08503v1 Announce Type: new Abstract: Mathematical reasoning remains challenging in low-resource…
arXiv Artificial IntelligenceTrustRoboReward: Preference-Ordered Isotonic Score Editing for Multi-Paradigm Robot Reward Models
arXiv:2608.08491v1 Announce Type: new Abstract: Reward models are a bottleneck for reinforcement learning in…
arXiv Artificial IntelligenceHoloAegis: Frozen Representation, Topological Inference: Minimally Parametric Safety Manifolds for Zero-Shot LLM Guardrails
arXiv:2608.08485v1 Announce Type: new Abstract: Current LLM safety guardrails face a fundamental tension…
arXiv Artificial IntelligenceYesterday's Shield, Today's Spear: A Self-Evolving Safety Guardrail in Production
arXiv:2608.08471v1 Announce Type: new Abstract: Deployed LLM safety guardrails are predominantly static…
arXiv Artificial IntelligenceAero Realtime: Fully Aligned Input-Output Streams for Low-Latency Streaming Multimodal Generation
arXiv:2608.08469v1 Announce Type: new Abstract: Existing streaming multimodal models process observations…
arXiv Artificial IntelligenceLLM within MCP Matters: Measuring Inefficient Resource Utilization Driven by LLMs
arXiv:2608.08467v1 Announce Type: new Abstract: The Model Context Protocol (MCP) standardizes how servers…
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