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In-Context Learning Dynamics with Random Binary Sequences
v1v2v3 (latest)

In-Context Learning Dynamics with Random Binary Sequences

International Conference on Learning Representations (ICLR), 2023
26 October 2023
Eric J. Bigelow
Ekdeep Singh Lubana
Robert P. Dick
Hidenori Tanaka
T. Ullman
ArXiv (abs)PDFHTMLGithub

Papers citing "In-Context Learning Dynamics with Random Binary Sequences"

9 / 9 papers shown
Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics
Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics
Amir Zur
Atticus Geiger
Ekdeep Singh Lubana
Eric J. Bigelow
LLMSVLRM
362
4
0
06 Nov 2025
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
Eric J. Bigelow
Daniel Wurgaft
YingQiao Wang
Noah D. Goodman
T. Ullman
Hidenori Tanaka
Ekdeep Singh Lubana
LLMSV
238
11
0
01 Nov 2025
Mockingbird: How does LLM perform in general machine learning tasks?
Mockingbird: How does LLM perform in general machine learning tasks?
Haoyu Jia
Yoshiki Obinata
Kento Kawaharazuka
Kei Okada
LLMAGLRM
165
0
0
06 Aug 2025
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
Dingzirui Wang
Xuangliang Zhang
Keyan Xu
Qingfu Zhu
Wanxiang Che
Yang Deng
197
1
0
01 Aug 2025
LLM Probability Concentration: How Alignment Shrinks the Generative Horizon
LLM Probability Concentration: How Alignment Shrinks the Generative Horizon
Chenghao Yang
Ari Holtzman
Ari Holtzman
324
3
0
22 Jun 2025
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan
Chen Henry Wu
Charles Ding
Aditi Raghunathan
706
25
0
21 Apr 2025
ICLR: In-Context Learning of Representations
ICLR: In-Context Learning of RepresentationsInternational Conference on Learning Representations (ICLR), 2024
Core Francisco Park
Andrew Lee
Ekdeep Singh Lubana
Yongyi Yang
Maya Okawa
Kento Nishi
Martin Wattenberg
Hidenori Tanaka
AIFin
646
33
0
29 Dec 2024
In-context learning agents are asymmetric belief updaters
In-context learning agents are asymmetric belief updaters
Johannes A. Schubert
Akshay K. Jagadish
Marcel Binz
Eric Schulz
LLMAG
299
16
0
06 Feb 2024
The Mystery of In-Context Learning: A Comprehensive Survey on
  Interpretation and Analysis
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yuxiang Zhou
Jiazheng Li
Yanzheng Xiang
Hanqi Yan
Lin Gui
Yulan He
377
36
0
01 Nov 2023
1
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