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Large language models (LLMs) have shown remarkable performance in complex reasoning tasks, but their efficiency is hindered by the substantial memory and computational costs associated with generating lengthy tokens.
The empirical case for two systems of reasoning
Steven A Sloman. 1996 · 1996
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Daniel Kahneman. 2011 · 2011
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Thinking fast and slow in ai
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Alexis Chevalier, Alexander Wettig, Anirudh Ajith, and Danqi Chen. 2023 · 2023
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Llmlingua: Compressing prompts for accelerated inference of large language models
Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, and Lili Qiu. 2023 · 2023
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Reasoning with language model prompting: A survey
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Compressed chain of thought: Efficient reasoning through dense representations
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Concise thoughts: Impact of output length on LLM reasoning and cost
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Anchor-based large language models
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Qwq: Reflect deeply on the boundaries of the unknown
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GPQA: A graduate-level google-proof q&a benchmark
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yuntian Deng, Yejin Choi, and Stuart M. Shieber. 2024 · 2024
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In-context autoencoder for context compression in a large language model
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Kvquant: Towards 10 million context length LLM inference with KV cache quantization
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Efficient streaming language models with attention sinks
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An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, and Zihan Qiu. 2024 · 2024
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OneGen: Efficient one-pass unified generation and retrieval for LLMs
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Training language models to reason efficiently
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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