6 citations · 7 across the 10 of their papers we have counts for
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cs.LG2026
PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
Wenquan Lu, Hai Huang, Enqi Liu +1
Reinforcement learning algorithms such as group-relative policy optimization (GRPO) have shown strong potential for improving the mathematical reasoning capabilities of large langu…
cs.LG2025
LoRA Users Beware: A Few Spurious Tokens Can Manipulate Your Finetuned Model
Marcel Mateos Salles, Praney Goyal, Pradyut Sekhsaria +2
Large Language Models (LLMs) are commonly finetuned for a variety of use cases and domains. A common approach is to leverage Low-Rank Adaptation (LoRA) -- known to provide strong p…
cs.LG2024★ 1 cited
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
Hai Huang, Randall Balestriero
Low-Rank Adaptation (LoRA) is the bread and butter of Large Language Model (LLM) finetuning. LoRA learns an additive low-rank perturbation, , of a pretrained matrix parameter $…