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cs.AI2026
Beyond Output Matching: Preserving Internal Geometry in NVFP4 LLM Distillation
Fangbo Tu, Junhua Zhao, Chi Liu +4
Demand for low-precision inference, including NVFP4-based approaches, has grown as large language models are increasingly deployed in latency and cost constrained production enviro…
cs.AI2026
JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents
Sandip Ghoshal, Anshul Mittal, Jyotika Singh +9
Large language model (LLM) agents augmented with external tools often struggle as number of tools grow large and become domain-specific. In such settings, ambiguous tool descriptio…