arXiv Artificial IntelligenceWhat Matters for Aggressive Decoding-Time KV Eviction? Temporal Aggregation and Ranking Preservation
arXiv:2609.03515v1 Announce Type: new Abstract: Decoding-time KV cache compression research focuses heavily…
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arXiv Artificial IntelligencearXiv Artificial IntelligencePPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing
arXiv:2609.03503v1 Announce Type: new Abstract: With the rapid development of the Internet of Things…
arXiv Artificial IntelligenceGrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving
arXiv:2609.03494v1 Announce Type: new Abstract: Long-output reasoning has made the key--value (KV) cache a…
arXiv Artificial IntelligenceMaking Every Tool Call Count: Necessary Tool-Evidence Path Rewards for Agentic Vision-Language Models
arXiv:2609.03493v1 Announce Type: new Abstract: Modern vision-language models (VLMs) can directly answer many…
arXiv Artificial IntelligenceAutoGraphForge: Towards Automated Graph Theory Discovery
arXiv:2609.03478v1 Announce Type: new Abstract: We report on our ongoing project to develop a computational…
arXiv Artificial IntelligenceBeyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty
arXiv:2609.03460v1 Announce Type: new Abstract: As generative AI makes polished prose cheap to produce, users…
arXiv Artificial IntelligenceDo GUI Agents Know When Not to Act? Enabling Conflict-Aware Termination for Multimodal GUI Agents
arXiv:2609.03438v1 Announce Type: new Abstract: Graphical user interface (GUI) agents are increasingly used…
arXiv Artificial IntelligenceDuplexSpeechBench-IFEval: Evaluating Implicit Instruction Following in Full-Duplex Voice Agents
arXiv:2609.03423v1 Announce Type: new Abstract: Full-duplex voice agents must continuously decide when to…
arXiv Artificial IntelligenceCaught in the Story: Narrative Captivity in Multi-turn LLMs Conversation
arXiv:2609.03407v1 Announce Type: new Abstract: People increasingly turn to large language models (LLMs) for…
arXiv Artificial IntelligenceA Prompt-Engineering Approach to Develop Scalable, Flexible, and Real-Time Hybrid Micro-Level Personalization in a General Purpose AI Teaching Assistant
arXiv:2609.03402v1 Announce Type: new Abstract: Artificial intelligence (AI) teaching assistants powered by…
arXiv Artificial IntelligenceFresh Memory, Stale Plans: Dependency-Scoped Validation for Distributed LLM-Agent Memory
arXiv:2609.03340v1 Announce Type: new Abstract: Distributed LLM-agent teams can read the latest shared facts…
arXiv Artificial IntelligenceSpeculative Macro Commit for Faster Tool-Using Agents
arXiv:2609.03236v1 Announce Type: new Abstract: Tool-using LLM agents spend wall-clock time not only on model…
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