109 citations · 265 across the 24 of their papers we have counts for
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cs.CL2024
Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression
Haowen Hou, Fei Ma, Binwen Bai +2
Large Language Models (LLMs) have garnered widespread attention due to their remarkable performance across various tasks. However, to mitigate the issue of hallucinations, LLMs oft…
cs.CL2021★ 7 cited
Fast Sequence Generation with Multi-Agent Reinforcement Learning
Longteng Guo, Jing Liu, Xinxin Zhu +1
Autoregressive sequence Generation models have achieved state-of-the-art performance in areas like machine translation and image captioning. These models are autoregressive in that…
cs.CL2020★ 11 cited
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Longteng Guo, Jing Liu, Xinxin Zhu +3
Most image captioning models are autoregressive, i.e. they generate each word by conditioning on previously generated words, which leads to heavy latency during inference. Recently…