Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression

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Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression

26 May 2025

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Papers citing "Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression"

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Title
Explanations from Large Language Models Make Small Reasoners Better Shiyang Li Jianshu Chen Yelong Shen Zhiyu Zoey Chen Xinlu Zhang ... Jingu Qian Baolin Peng Yi Mao Wenhu Chen Xifeng Yan ReLM LRM 92 138 0 13 Oct 2022
FOLIO: Natural Language Reasoning with First-Order Logic Simeng Han Hailey Schoelkopf Yilun Zhao Zhenting Qi Martin Riddell ... Yingbo Zhou Caiming Xiong Rex Ying Arman Cohan Dragomir R. Radev ReLM LRM 105 108 0 02 Sep 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar Sidak Pal Singh Dan Alistarh MQ 106 243 0 24 Aug 2022
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models Gunho Park Baeseong Park Minsub Kim Sungjae Lee Jeonghoon Kim Beomseok Kwon S. Kwon Byeongwook Kim Youngjoo Lee Dongsoo Lee MQ 60 83 0 20 Jun 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 522 3,721 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 823 9,644 0 28 Jan 2022
Machine Translation Decoding beyond Beam Search Rémi Leblond Jean-Baptiste Alayrac Laurent Sifre Miruna Pislar Jean-Baptiste Lespiau Ioannis Antonoglou Karen Simonyan Oriol Vinyals 70 71 0 12 Apr 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 455 2,120 0 31 Dec 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models Samuel Gehman Suchin Gururangan Maarten Sap Yejin Choi Noah A. Smith 163 1,214 0 24 Sep 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 853 42,332 0 28 May 2020
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 81 885 0 25 Jun 2019
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 120 882 0 26 Nov 2017
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,694 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,723 0 09 Mar 2015