Transformers learn in-context by gradient descent

15 December 2022

Papers citing "Transformers learn in-context by gradient descent"

50 / 69 papers shown

Title
On the generalization of language models from in-context learning and finetuning: a controlled study Andrew Kyle Lampinen Arslan Chaudhry Stephanie Chan Cody Wild Diane Wan Alex Ku Jorg Bornschein Razvan Pascanu Murray Shanahan James L. McClelland 46 0 0 01 May 2025
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai Zhiqiang Xie Kayvon Fatahalian LLMAG 68 0 0 01 May 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang M. Wang Sijia Liu Pin-Yu Chen MoMe 57 2 0 15 Apr 2025
An extension of linear self-attention for in-context learning Katsuyuki Hagiwara 34 0 0 31 Mar 2025
L0-Reasoning Bench: Evaluating Procedural Correctness in Language Models via Simple Program Execution Simeng Sun Cheng-Ping Hsieh Faisal Ladhak Erik Arakelyan Santiago Akle Serano Boris Ginsburg ReLM ELM LRM 56 0 0 28 Mar 2025
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong Thanh Nguyen-Tang Dongeun Lee Duc Nguyen Toan M. Tran David Hall Cheongwoong Kang Jaesik Choi 33 0 0 03 Mar 2025
In-Context Learning with Hypothesis-Class Guidance Ziqian Lin Shubham Kumar Bharti Kangwook Lee 64 0 0 27 Feb 2025
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations Vignesh Kothapalli Hamed Firooz Maziar Sanjabi 55 0 0 21 Feb 2025
Looped ReLU MLPs May Be All You Need as Practical Programmable Computers Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao-quan Song Yufa Zhou 89 18 0 21 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 52 3 0 21 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 57 1 0 17 Feb 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin Zhaoran Wang LRM ReLM 50 0 0 27 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers Jiajun Song Zhuoyan Xu Yiqiao Zhong 75 4 0 31 Dec 2024
ICLR: In-Context Learning of Representations Core Francisco Park Andrew Lee Ekdeep Singh Lubana Yongyi Yang Maya Okawa Kento Nishi Martin Wattenberg Hidenori Tanaka AIFin 111 3 0 29 Dec 2024
Revisiting In-Context Learning with Long Context Language Models Jinheon Baek Sun Jae Lee Prakhar Gupta Geunseob Oh Siddharth Dalmia 98 0 0 22 Dec 2024
Toward Understanding In-context vs. In-weight Learning Bryan Chan Xinyi Chen András Gyorgy Dale Schuurmans 65 3 0 30 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 32 1 0 17 Oct 2024
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery Renpu Liu Ruida Zhou Cong Shen Jing Yang 23 0 0 17 Oct 2024
Context-Scaling versus Task-Scaling in In-Context Learning Amirhesam Abedsoltan Adityanarayanan Radhakrishnan Jingfeng Wu M. Belkin ReLM LRM 32 3 0 16 Oct 2024
State-space models can learn in-context by gradient descent Neeraj Mohan Sushma Yudou Tian Harshvardhan Mestha Nicolo Colombo David Kappel Anand Subramoney 35 3 0 15 Oct 2024
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent Bo Chen Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao-quan Song 80 19 0 15 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 35 0 0 12 Oct 2024
Zero-Shot Learning of Causal Models Divyat Mahajan Jannes Gladrow Agrin Hilmkil Cheng Zhang M. Scetbon 28 1 0 08 Oct 2024
Density estimation with LLMs: a geometric investigation of in-context learning trajectories Toni J. B. Liu Nicolas Boullé Raphael Sarfati Christopher Earls 20 0 0 07 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 30 1 0 04 Oct 2024
Towards Understanding the Universality of Transformers for Next-Token Prediction Michael E. Sander Gabriel Peyré CML 29 0 0 03 Oct 2024
Mitigating Copy Bias in In-Context Learning through Neuron Pruning Ameen Ali Lior Wolf Ivan Titov 27 2 0 02 Oct 2024
Racing Thoughts: Explaining Contextualization Errors in Large Language Models Michael A. Lepori Michael Mozer Asma Ghandeharioun LRM 80 1 0 02 Oct 2024
Transformers Handle Endogeneity in In-Context Linear Regression Haodong Liang Krishnakumar Balasubramanian Lifeng Lai 32 1 0 02 Oct 2024
Attention layers provably solve single-location regression P. Marion Raphael Berthier Gérard Biau Claire Boyer 51 2 0 02 Oct 2024
On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding Kevin Xu Issei Sato 37 3 0 02 Oct 2024
Spin glass model of in-context learning Yuhao Li Ruoran Bai Haiping Huang LRM 37 0 0 05 Aug 2024
Representing Rule-based Chatbots with Transformers Dan Friedman Abhishek Panigrahi Danqi Chen 56 1 0 15 Jul 2024
Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons Yongqi Leng Deyi Xiong 32 5 0 09 Jul 2024
Expressivity of Neural Networks with Random Weights and Learned Biases Ezekiel Williams Avery Hee-Woon Ryoo Thomas Jiralerspong Alexandre Payeur M. Perich Luca Mazzucato Guillaume Lajoie 24 1 0 01 Jul 2024
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt Deng Cai Huayang Li Tingchen Fu Siheng Li Weiwen Xu ... Leyang Cui Yan Wang Lemao Liu Taro Watanabe Shuming Shi KELM 26 2 0 24 Jun 2024
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning Bowen Zheng Ming Ma Zhongqiao Lin Tianming Yang 21 1 0 23 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
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification Shang Liu Zhongze Cai Guanting Chen Xiaocheng Li UQCV 38 1 0 24 May 2024
Implicit In-context Learning Zhuowei Li Zihao Xu Ligong Han Yunhe Gao Song Wen Di Liu Hao Wang Dimitris N. Metaxas 38 1 0 23 May 2024
Asymptotic theory of in-context learning by linear attention Yue M. Lu Mary I. Letey Jacob A. Zavatone-Veth Anindita Maiti C. Pehlevan 19 10 0 20 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 81 65 0 30 Apr 2024
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History Akash Gupta Ivaxi Sheth Vyas Raina Mark J. F. Gales Mario Fritz 30 4 0 28 Feb 2024
Linear Transformers are Versatile In-Context Learners Max Vladymyrov J. Oswald Mark Sandler Rong Ge 24 13 0 21 Feb 2024
Implicit Bias and Fast Convergence Rates for Self-attention Bhavya Vasudeva Puneesh Deora Christos Thrampoulidis 24 13 0 08 Feb 2024
An Information-Theoretic Analysis of In-Context Learning Hong Jun Jeon Jason D. Lee Qi Lei Benjamin Van Roy 13 18 0 28 Jan 2024
Setting the Record Straight on Transformer Oversmoothing G. Dovonon M. Bronstein Matt J. Kusner 20 5 0 09 Jan 2024
The mechanistic basis of data dependence and abrupt learning in an in-context classification task Gautam Reddy 17 48 0 03 Dec 2023
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
Transformers are Provably Optimal In-context Estimators for Wireless Communications Vishnu Teja Kunde Vicram Rajagopalan Chandra Shekhara Kaushik Valmeekam Krishna R. Narayanan S. Shakkottai D. Kalathil J. Chamberland 29 4 0 01 Nov 2023