28 citations · 32 across the 14 of their papers we have counts for
4 papers · 1 filter
Recurrent Aggregators in Neural Algorithmic Reasoning
Kaijia Xu, Petar Veličković
Neural algorithmic reasoning (NAR) is an emerging field that seeks to design neural networks that mimic classical algorithmic computations. Today, graph neural networks (GNNs) are…
vitaLITy 2: Reviewing Academic Literature Using Large Language Models
Hongye An, Arpit Narechania, Emily Wall +1
Academic literature reviews have traditionally relied on techniques such as keyword searches and accumulation of relevant back-references, using databases like Google Scholar or IE…
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions
Kai Xu, Farid Tajaddodianfar, Ben Allison
Recently proposed reward-conditioned policies (RCPs) offer an appealing alternative in reinforcement learning. Compared with policy gradient methods, policy learning in RCPs is sim…
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
Cunxiao Du, Jing Jiang, Xu Yuanchen +8
Speculative decoding is a relatively new decoding framework that leverages small and efficient draft models to reduce the latency of LLMs. In this study, we introduce GliDe and CaP…