TriAxialKV introduces triaxial mixed-precision KV-cache quantization that matches BF16 accuracy at 4.5x cache size and 30% higher throughput for a Qwen3-VL agent on OSWorld.
Benchmarking llm-powered chatbots: Methods and metrics
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A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future directions.
User study with 49 programmers shows low accuracy of GitHub Copilot for 148 HIPAA NFRs in iTrust, with satisfaction hurt by longer responses and helped by proactive turns.
Federated QLoRA fine-tuning on distributed PA manuals from SIGESON and SIDFORS yields ROUGE-1/2/L of 61.10/55.77/59.44 and BLEU-4 of 45.02, close to centralized training.
citing papers explorer
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TriAxialKV: Toward Extreme Low-Precision KV-Cache Quantization for Agentic Inference Tasks
TriAxialKV introduces triaxial mixed-precision KV-cache quantization that matches BF16 accuracy at 4.5x cache size and 30% higher throughput for a Qwen3-VL agent on OSWorld.
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A Survey on Large Language Model based Autonomous Agents
A survey of LLM-based autonomous agents that proposes a unified framework for their construction and reviews applications in social science, natural science, and engineering along with evaluation methods and future directions.
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Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment
User study with 49 programmers shows low accuracy of GitHub Copilot for 148 HIPAA NFRs in iTrust, with satisfaction hurt by longer responses and helped by proactive turns.
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GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning
Federated QLoRA fine-tuning on distributed PA manuals from SIGESON and SIDFORS yields ROUGE-1/2/L of 61.10/55.77/59.44 and BLEU-4 of 45.02, close to centralized training.