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Showing papers from Huawei Technologies (China) Show all papers

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arXivHuawei TechnologiesImperial College LondonUniversity College LondonDeep RL

Tail-Influence Sampling for CVaR Policy Evaluation

Tail-Influence Sampling allocates evaluation budgets by tail influence to estimate CVaR with oracle variance and lower MSE than rollouts.

Pauline Bourigault, Xiaotong Ji, Matthieu Zimmer, Rasul Tutunov and 1 more

Published Sep 29, 2026 · 0 citations · ▲ 23 on Hugging Face · Code ★ 1

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 2/5
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arXivHuawei TechnologiesInstruction tuning

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

QA-LoRA proposes quantization-aware low-rank adaptation that quantizes LLM weights during fine-tuning and merges adapters into quantized models without accuracy loss.

Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen and 5 more

Published Sep 26, 2023 · 21 citations · ▲ 46 on Hugging Face · Code ★ 148

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6/20 AI panelreviewers recommend it

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AI panel: 6 of 20 reviewers recommend it
lenient 5/5
medium 1/10
strict 0/5