The Expressive Power of Transformers with Chain of Thought

11 October 2023

Papers citing "The Expressive Power of Transformers with Chain of Thought"

22 / 22 papers shown

Title
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Ruiquan Huang Yingbin Liang Jing Yang 46 0 0 02 May 2025
Combinatorial Optimization via LLM-driven Iterated Fine-tuning Pranjal Awasthi Sreenivas Gollapudi Ravi Kumar Kamesh Munagala 63 0 0 10 Mar 2025
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers William Merrill Ashish Sabharwal 48 4 0 05 Mar 2025
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers Alireza Amiri Xinting Huang Mark Rofin Michael Hahn LRM 90 0 0 04 Feb 2025
Can Transformers Reason Logically? A Study in SAT Solving Leyan Pan Vijay Ganesh Jacob Abernethy Chris Esposo Wenke Lee ReLM LRM 26 0 0 09 Oct 2024
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Kaiyue Wen Huaqing Zhang Hongzhou Lin Jingzhao Zhang MoE LRM 58 2 0 07 Oct 2024
Compositional Hardness of Code in Large Language Models -- A Probabilistic Perspective Yotam Wolf Binyamin Rothberg Dorin Shteyman Amnon Shashua 13 0 0 26 Sep 2024
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning Zayne Sprague Fangcong Yin Juan Diego Rodriguez Dongwei Jiang Manya Wadhwa Prasann Singhal Xinyu Zhao Xi Ye Kyle Mahowald Greg Durrett ReLM LRM 111 79 0 18 Sep 2024
Representing Rule-based Chatbots with Transformers Dan Friedman Abhishek Panigrahi Danqi Chen 56 1 0 15 Jul 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference Anton Xue Avishree Khare Rajeev Alur Surbhi Goel Eric Wong 43 2 0 21 Jun 2024
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning Franz Nowak Anej Svete Alexandra Butoi Ryan Cotterell ReLM LRM 44 12 0 20 Jun 2024
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages Nadav Borenstein Anej Svete R. Chan Josef Valvoda Franz Nowak Isabelle Augenstein Eleanor Chodroff Ryan Cotterell 38 9 0 06 Jun 2024
The CLRS-Text Algorithmic Reasoning Language Benchmark Larisa Markeeva Sean McLeish Borja Ibarz Wilfried Bounsi Olga Kozlova Alex Vitvitskyi Charles Blundell Tom Goldstein Avi Schwarzschild Petar Veličković LRM 28 12 0 06 Jun 2024
The Illusion of State in State-Space Models William Merrill Jackson Petty Ashish Sabharwal 46 42 0 12 Apr 2024
Counting Like Transformers: Compiling Temporal Counting Logic Into Softmax Transformers Andy Yang David Chiang 31 7 0 05 Apr 2024
Investigating Recurrent Transformers with Dynamic Halt Jishnu Ray Chowdhury Cornelia Caragea 34 1 0 01 Feb 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 19 86 0 11 Jan 2024
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks Rahul Ramesh Ekdeep Singh Lubana Mikail Khona Robert P. Dick Hidenori Tanaka CoGe 22 6 0 21 Nov 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
How Language Model Hallucinations Can Snowball Muru Zhang Ofir Press William Merrill Alisa Liu Noah A. Smith HILM LRM 78 246 0 22 May 2023
A Logic for Expressing Log-Precision Transformers William Merrill Ashish Sabharwal ReLM NAI LRM 45 46 0 06 Oct 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 315 8,261 0 28 Jan 2022