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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,982 papers · 148 categories

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7 results for fp16

Study finds optimal learning rate schedules for sub-100M quantization-aware training across bit-widths.

problem Optimal learning rate schedules for quantization-aware training depend on bit-width.
method Factorial grid testing over bit-width, warmdown fraction, LR magnitude, model size, and seed.
result INT6 QAT requires a different schedule than higher-precision training, falsifying the primary hypothesis.

Study of sp4\mathfrak{sp}_4-webs on surfaces, proving cluster algebra structure.

problem Understanding sp4\mathfrak{sp}_4-webs and their cluster algebra properties.
method Introduced skein algebra and cluster structure, proved positivity.
result Proved Ssp4,ΣZq[1]\mathscr{S}_{\mathfrak{sp}_4,Σ}^{\mathbb{Z}_q}[\partial^{-1}] is a quantum cluster algebra.

FP6 quantization outperforms INT4 in diverse generative tasks for LLMs.

problem Limited performance of 4-bit quantization methods in diverse generative tasks.
method Proposes a 4+2 design for FP6 quantization to achieve similar latency to INT4.
result FP6 quantization outperforms INT4 in various generative tasks, including code generation and summarization.

FibQuant improves KV-cache compression for long-context inference.

problem Memory traffic bottleneck in long-context inference due to KV cache growth.
method Introduces FibQuant, a universal vector quantizer that combines Beta-quantile radii, Fibonacci/Roberts-Kronecker directions, and Lloyd-Max refinement.
result FibQuant achieves high compression rates with minimal loss in attention cosine similarity.