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Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning

4 November 2024

Md Rifat Arefin

G. Subbaraj

Nicolas Angelard-Gontier

Papers citing "Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning"

27 / 27 papers shown

Title
Does Representation Matter? Exploring Intermediate Layers in Large Language Models Oscar Skean Md Rifat Arefin Yann LeCun Ravid Shwartz-Ziv 134 12 0 12 Dec 2024
Dissecting Multiplication in Transformers: Insights into LLMs Luyu Qiu Jianing Li Chi Su C. Zhang Lei Chen 81 3 0 22 Jul 2024
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step Yuntian Deng Yejin Choi Stuart M. Shieber ReLM LRM 88 76 0 23 May 2024
Let's Think Dot by Dot: Hidden Computation in Transformer Language Models Jacob Pfau William Merrill Samuel R. Bowman LRM 100 83 0 24 Apr 2024
The Impact of Reasoning Step Length on Large Language Models Mingyu Jin Qinkai Yu Dong Shu Haiyan Zhao Wenyue Hua Yanda Meng Yongfeng Zhang Jundong Li ReLM LRM 180 113 0 10 Jan 2024
The Linear Representation Hypothesis and the Geometry of Large Language Models Kiho Park Yo Joong Choe Victor Veitch LLMSV MILM 176 190 0 07 Nov 2023
Implicit Chain of Thought Reasoning via Knowledge Distillation Yuntian Deng Kiran Prasad Roland Fernandez P. Smolensky Vishrav Chaudhary Stuart M. Shieber ReLM LRM 74 52 0 02 Nov 2023
Think before you speak: Training Language Models With Pause Tokens Sachin Goyal Ziwei Ji A. S. Rawat A. Menon Sanjiv Kumar Vaishnavh Nagarajan LRM 111 122 0 03 Oct 2023
GPT Can Solve Mathematical Problems Without a Calculator Zhiyong Yang Ming Ding Qingsong Lv Zhihuan Jiang Zehai He Yuyi Guo Jinfeng Bai Jie Tang RALM LRM 114 56 0 06 Sep 2023
Variance-Covariance Regularization Improves Representation Learning Jiachen Zhu Katrina Evtimova Yubei Chen Ravid Shwartz-Ziv Yann LeCun SSL 90 7 0 23 Jun 2023
Representational Strengths and Limitations of Transformers Clayton Sanford Daniel J. Hsu Matus Telgarsky 76 93 0 05 Jun 2023
Let's Verify Step by Step Hunter Lightman V. Kosaraju Yura Burda Harrison Edwards Bowen Baker Teddy Lee Jan Leike John Schulman Ilya Sutskever K. Cobbe ALM OffRL LRM 239 1,241 0 31 May 2023
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective Guhao Feng Bohang Zhang Yuntian Gu Haotian Ye Di He Liwei Wang LRM 141 261 0 24 May 2023
DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies Oscar Skean J. Hoyos-Osorio A. Brockmeier L. S. Giraldo 80 13 0 19 Jan 2023
The Parallelism Tradeoff: Limitations of Log-Precision Transformers William Merrill Ashish Sabharwal 108 116 0 02 Jul 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 592 3,759 0 21 Mar 2022
Information Theory with Kernel Methods Francis R. Bach 62 43 0 17 Feb 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 1.0K 9,813 0 28 Jan 2022
Understanding Dimensional Collapse in Contrastive Self-supervised Learning Li Jing Pascal Vincent Yann LeCun Yuandong Tian SSL 124 359 0 18 Oct 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 203 946 0 11 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 362 2,374 0 04 Mar 2021
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 484 6,866 0 13 Jun 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 1.1K 42,687 0 28 May 2020
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction Antoine Bosselut Hannah Rashkin Maarten Sap Chaitanya Malaviya Asli Celikyilmaz Yejin Choi 84 914 0 12 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.9K 95,554 0 11 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 976 133,429 0 12 Jun 2017
Measures of Entropy from Data Using Infinitely Divisible Kernels Luis G. Sanchez Giraldo M. Rao José C. Príncipe 119 128 0 11 Nov 2012