Tighter Bounds on the Expressivity of Transformer Encoders

25 January 2023

Papers citing "Tighter Bounds on the Expressivity of Transformer Encoders"

36 / 36 papers shown

Title
Unique Hard Attention: A Tale of Two Sides Selim Jerad Anej Svete Jiaoda Li Ryan Cotterell 54 0 0 18 Mar 2025
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers William Merrill Ashish Sabharwal 53 4 0 05 Mar 2025
Ask, and it shall be given: On the Turing completeness of prompting Ruizhong Qiu Zhe Xu W. Bao Hanghang Tong ReLM LRM AI4CE 62 0 0 24 Feb 2025
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve? Zhenheng Tang Xiang Liu Qian Wang Peijie Dong Bingsheng He Xiaowen Chu Bo Li LRM 50 1 0 24 Feb 2025
Ehrenfeucht-Haussler Rank and Chain of Thought Pablo Barceló A. Kozachinskiy Tomasz Steifer LRM 71 1 0 22 Jan 2025
How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs Guhao Feng Kai-Bo Yang Yuntian Gu Xinyue Ai Shengjie Luo Jiacheng Sun Di He Z. Li Liwei Wang LRM 30 5 0 17 Oct 2024
Learning Linear Attention in Polynomial Time Morris Yau Ekin Akyürek Jiayuan Mao Joshua B. Tenenbaum Stefanie Jegelka Jacob Andreas 17 2 0 14 Oct 2024
A mechanistically interpretable neural network for regulatory genomics Alex Tseng Gökçen Eraslan Tommaso Biancalani Gabriele Scalia 14 0 0 08 Oct 2024
GUNDAM: Aligning Large Language Models with Graph Understanding Sheng Ouyang Yulan Hu Ge Chen Yong Liu AI4CE 18 3 0 30 Sep 2024
Transformers in Uniform TC $^0$ David Chiang 23 3 0 20 Sep 2024
Transformers are Universal In-context Learners Takashi Furuya Maarten V. de Hoop Gabriel Peyré 24 6 0 02 Aug 2024
Separations in the Representational Capabilities of Transformers and Recurrent Architectures S. Bhattamishra Michael Hahn Phil Blunsom Varun Kanade GNN 28 8 0 13 Jun 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 30 0 0 13 Jun 2024
The Expressive Capacity of State Space Models: A Formal Language Perspective Yash Sarrof Yana Veitsman Michael Hahn Mamba 30 7 0 27 May 2024
A Transformer with Stack Attention Jiaoda Li Jennifer C. White Mrinmaya Sachan Ryan Cotterell 22 2 0 07 May 2024
Transformers Can Represent $n$ -gram Language Models Anej Svete Ryan Cotterell 32 17 0 23 Apr 2024
The Illusion of State in State-Space Models William Merrill Jackson Petty Ashish Sabharwal 46 43 0 12 Apr 2024
Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers Andy Yang David Chiang 31 7 0 05 Apr 2024
Simulating Weighted Automata over Sequences and Trees with Transformers Michael Rizvi M. Lizaire Clara Lacroce Guillaume Rabusseau AI4CE 37 0 0 12 Mar 2024
Transformers are Expressive, But Are They Expressive Enough for Regression? Swaroop Nath H. Khadilkar Pushpak Bhattacharyya 23 3 0 23 Feb 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems Zhiyuan Li Hong Liu Denny Zhou Tengyu Ma LRM AI4CE 20 94 0 20 Feb 2024
Strong hallucinations from negation and how to fix them Nicholas Asher Swarnadeep Bhar ReLM LRM 16 3 0 16 Feb 2024
Why are Sensitive Functions Hard for Transformers? Michael Hahn Mark Rofin 20 22 0 15 Feb 2024
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models Yizhou Zhang Lun Du Defu Cao Qiang Fu Yan Liu LRM 20 7 0 08 Feb 2024
Repeat After Me: Transformers are Better than State Space Models at Copying Samy Jelassi David Brandfonbrener Sham Kakade Eran Malach 95 77 0 01 Feb 2024
On The Expressivity of Recurrent Neural Cascades Nadezda A. Knorozova Alessandro Ronca 18 1 0 14 Dec 2023
What Formal Languages Can Transformers Express? A Survey Lena Strobl William Merrill Gail Weiss David Chiang Dana Angluin AI4CE 14 45 0 01 Nov 2023
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages Andy Yang David Chiang Dana Angluin 28 14 0 21 Oct 2023
Do pretrained Transformers Learn In-Context by Gradient Descent? Lingfeng Shen Aayush Mishra Daniel Khashabi 17 7 0 12 Oct 2023
The Expressive Power of Transformers with Chain of Thought William Merrill Ashish Sabharwal LRM AI4CE ReLM 19 41 0 11 Oct 2023
Logical Languages Accepted by Transformer Encoders with Hard Attention Pablo Barceló A. Kozachinskiy A. W. Lin Vladimir Podolskii 17 15 0 05 Oct 2023
Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages Shunjie Wang Shane Steinert-Threlkeld 17 4 0 02 Sep 2023
Large Language Models Michael R Douglas LLMAG LM&MA 22 547 0 11 Jul 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 28 324 0 29 May 2023
A Logic for Expressing Log-Precision Transformers William Merrill Ashish Sabharwal ReLM NAI LRM 48 46 0 06 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 2022