What Algorithms can Transformers Learn? A Study in Length Generalization

24 October 2023

Papers citing "What Algorithms can Transformers Learn? A Study in Length Generalization"

39 / 39 papers shown

Title
TRACE for Tracking the Emergence of Semantic Representations in Transformers Nura Aljaafari Danilo S. Carvalho André Freitas 85 0 0 23 May 2025
Tracr-Injection: Distilling Algorithms into Pre-trained Language Models Tomás Vergara-Browne Álvaro Soto 182 0 0 15 May 2025
TRA: Better Length Generalisation with Threshold Relative Attention Mattia Opper Roland Fernandez P. Smolensky Jianfeng Gao 111 0 0 29 Mar 2025
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers Alireza Amiri Xinting Huang Mark Rofin Michael Hahn LRM 538 2 0 04 Feb 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Nayoung Lee Ziyang Cai Avi Schwarzschild Kangwook Lee Dimitris Papailiopoulos ReLM VLM LRM AI4CE 137 7 0 03 Feb 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers Jiajun Song Zhuoyan Xu Yiqiao Zhong 148 10 0 31 Dec 2024
Number Cookbook: Number Understanding of Language Models and How to Improve It Haotong Yang Yi Hu Shijia Kang Zhouchen Lin Muhan Zhang LRM 90 8 0 06 Nov 2024
Mixture of Parrots: Experts improve memorization more than reasoning Samy Jelassi Clara Mohri David Brandfonbrener Alex Gu Nikhil Vyas Nikhil Anand David Alvarez-Melis Yuanzhi Li Sham Kakade Eran Malach MoE 78 5 0 24 Oct 2024
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 131 1 0 17 Oct 2024
The Mystery of the Pathological Path-star Task for Language Models Arvid Frydenlund LRM 97 4 0 17 Oct 2024
Selective Attention Improves Transformer Yaniv Leviathan Matan Kalman Yossi Matias 105 12 0 03 Oct 2024
Representing Rule-based Chatbots with Transformers Dan Friedman Abhishek Panigrahi Danqi Chen 135 1 0 15 Jul 2024
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models Jack Merullo Carsten Eickhoff Ellie Pavlick 124 15 0 13 Jun 2024
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 153 25 0 04 Mar 2024
Investigating Recurrent Transformers with Dynamic Halt Jishnu Ray Chowdhury Cornelia Caragea 122 1 0 01 Feb 2024
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks Ziqian Zhong Ziming Liu Max Tegmark Jacob Andreas 80 102 0 30 Jun 2023
Faith and Fate: Limits of Transformers on Compositionality Nouha Dziri Ximing Lu Melanie Sclar Xiang Lorraine Li Liwei Jian ... Sean Welleck Xiang Ren Allyson Ettinger Zaïd Harchaoui Yejin Choi ReLM LRM 155 384 0 29 May 2023
Transformer Working Memory Enables Regular Language Reasoning and Natural Language Length Extrapolation Ta-Chung Chi Ting-Han Fan Alexander I. Rudnicky Peter J. Ramadge LRM 62 13 0 05 May 2023
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions S. Bhattamishra Arkil Patel Varun Kanade Phil Blunsom 87 48 0 22 Nov 2022
Measuring and Narrowing the Compositionality Gap in Language Models Ofir Press Muru Zhang Sewon Min Ludwig Schmidt Noah A. Smith M. Lewis ReLM KELM LRM 195 642 0 07 Oct 2022
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 319 525 0 24 Sep 2022
Faithful Reasoning Using Large Language Models Antonia Creswell Murray Shanahan ReLM LRM 64 125 0 30 Aug 2022
Benchmarking Compositionality with Formal Languages Josef Valvoda Naomi Saphra Jonathan Rawski Adina Williams Ryan Cotterell NAI CoGe 62 12 0 17 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 141 513 0 01 Aug 2022
Exploring Length Generalization in Large Language Models Cem Anil Yuhuai Wu Anders Andreassen Aitor Lewkowycz Vedant Misra V. Ramasesh Ambrose Slone Guy Gur-Ari Ethan Dyer Behnam Neyshabur ReLM LRM 92 170 0 11 Jul 2022
The Parallelism Tradeoff: Limitations of Log-Precision Transformers William Merrill Ashish Sabharwal 85 116 0 02 Jul 2022
Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz Anders Andreassen David Dohan Ethan Dyer Henryk Michalewski ... Theo Gutman-Solo Yuhuai Wu Behnam Neyshabur Guy Gur-Ari Vedant Misra ReLM ELM LRM 181 857 0 29 Jun 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 529 6,293 0 05 Apr 2022
Overcoming a Theoretical Limitation of Self-Attention David Chiang Peter A. Cholak 92 84 0 24 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 845 9,683 0 28 Jan 2022
Linear algebra with transformers Franccois Charton AIMat 83 59 0 03 Dec 2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models Maxwell Nye Anders Andreassen Guy Gur-Ari Henryk Michalewski Jacob Austin ... Aitor Lewkowycz Maarten Bosma D. Luan Charles Sutton Augustus Odena ReLM LRM 183 753 0 30 Nov 2021
Training Verifiers to Solve Math Word Problems K. Cobbe V. Kosaraju Mohammad Bavarian Mark Chen Heewoo Jun ... Jerry Tworek Jacob Hilton Reiichiro Nakano Christopher Hesse John Schulman ReLM OffRL LRM 345 4,569 0 27 Oct 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics Sean Welleck Peter West Jize Cao Yejin Choi 112 30 0 28 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation Ofir Press Noah A. Smith M. Lewis 336 775 0 27 Aug 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 236 5,647 0 07 Jul 2021
Saturated Transformers are Constant-Depth Threshold Circuits William Merrill Ashish Sabharwal Noah A. Smith 85 106 0 30 Jun 2021
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 203 1,786 0 29 Jun 2020
Theoretical Limitations of Self-Attention in Neural Sequence Models Michael Hahn 68 273 0 16 Jun 2019