The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Akyürek, Ekin, Damani, Mehul, Zweiger, Adam, Qiu, Linlu, Guo, Han, Pari, Jyothish, Kim, Yoon, Andreas, Jacob |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Adapting Language Models
by: Zweiger, Adam, et al.
Published: (2025)
by: Zweiger, Adam, et al.
Published: (2025)
In-Context Language Learning: Architectures and Algorithms
by: Akyürek, Ekin, et al.
Published: (2024)
by: Akyürek, Ekin, et al.
Published: (2024)
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
by: Akyürek, Afra Feyza, et al.
Published: (2024)
by: Akyürek, Afra Feyza, et al.
Published: (2024)
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
by: Wu, Zhaofeng, et al.
Published: (2023)
by: Wu, Zhaofeng, et al.
Published: (2023)
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
by: Damani, Mehul, et al.
Published: (2025)
by: Damani, Mehul, et al.
Published: (2025)
Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
by: Puri, Isha, et al.
Published: (2026)
by: Puri, Isha, et al.
Published: (2026)
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
by: Damani, Mehul, et al.
Published: (2024)
by: Damani, Mehul, et al.
Published: (2024)
Learning Linear Attention in Polynomial Time
by: Yau, Morris, et al.
Published: (2024)
by: Yau, Morris, et al.
Published: (2024)
Is Active Persona Inference Necessary for Aligning Small Models to Personal Preferences?
by: Tang, Zilu, et al.
Published: (2025)
by: Tang, Zilu, et al.
Published: (2025)
Latency and Token-Aware Test-Time Compute
by: Huang, Jenny Y., et al.
Published: (2025)
by: Huang, Jenny Y., et al.
Published: (2025)
Vector Policy Optimization: Training for Diversity Improves Test-Time Search
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
by: Bahlous-Boldi, Ryan, et al.
Published: (2026)
Fast KV Compaction via Attention Matching
by: Zweiger, Adam, et al.
Published: (2026)
by: Zweiger, Adam, et al.
Published: (2026)
Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)
by: Netanyahu, Aviv, et al.
Published: (2024)
ELF: Embedded Language Flows
by: Hu, Keya, et al.
Published: (2026)
by: Hu, Keya, et al.
Published: (2026)
SR-TTT: Surprisal-Aware Residual Test-Time Training
by: P, Swamynathan V
Published: (2026)
by: P, Swamynathan V
Published: (2026)
Implicit Representations of Grammaticality in Language Models
by: Wang, Yingshan Susan, et al.
Published: (2026)
by: Wang, Yingshan Susan, et al.
Published: (2026)
RL's Razor: Why Online Reinforcement Learning Forgets Less
by: Shenfeld, Idan, et al.
Published: (2025)
by: Shenfeld, Idan, et al.
Published: (2025)
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts
by: Qiu, Linlu, et al.
Published: (2025)
by: Qiu, Linlu, et al.
Published: (2025)
Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models
by: Qiu, Linlu, et al.
Published: (2025)
by: Qiu, Linlu, et al.
Published: (2025)
A Few-Shot Approach to Dysarthric Speech Intelligibility Level Classification Using Transformers
by: Chowdary, Paleti Nikhil, et al.
Published: (2023)
by: Chowdary, Paleti Nikhil, et al.
Published: (2023)
Collective Model Intelligence Requires Compatible Specialization
by: Pari, Jyothish, et al.
Published: (2024)
by: Pari, Jyothish, et al.
Published: (2024)
Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition
by: Ye, Junhong, et al.
Published: (2025)
by: Ye, Junhong, et al.
Published: (2025)
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
by: Ren, Yi, et al.
Published: (2024)
by: Ren, Yi, et al.
Published: (2024)
Synthesizing DSLs for Few-Shot Learning
by: Krogmeier, Paul, et al.
Published: (2025)
by: Krogmeier, Paul, et al.
Published: (2025)
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
by: Chuang, Yung-Sung, et al.
Published: (2024)
by: Chuang, Yung-Sung, et al.
Published: (2024)
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
by: Qiu, Linlu, et al.
Published: (2023)
by: Qiu, Linlu, et al.
Published: (2023)
Meta-Semantics Augmented Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)
by: Wu, Han, et al.
Published: (2025)
Learning to Reason via Program Generation, Emulation, and Search
by: Weir, Nathaniel, et al.
Published: (2024)
by: Weir, Nathaniel, et al.
Published: (2024)
Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
by: Reuss, Moritz, et al.
Published: (2024)
by: Reuss, Moritz, et al.
Published: (2024)
FewMMBench: A Benchmark for Multimodal Few-Shot Learning
by: Dogan, Mustafa, et al.
Published: (2026)
by: Dogan, Mustafa, et al.
Published: (2026)
Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning
by: Zhang, Yong, et al.
Published: (2024)
by: Zhang, Yong, et al.
Published: (2024)
Testing the Predictions of Surprisal Theory in 11 Languages
by: Wilcox, Ethan Gotlieb, et al.
Published: (2023)
by: Wilcox, Ethan Gotlieb, et al.
Published: (2023)
Expect the Unexpected? Testing the Surprisal of Salient Entities
by: Lin, Jessica, et al.
Published: (2026)
by: Lin, Jessica, et al.
Published: (2026)
SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization
by: Parnell, Jacob, et al.
Published: (2024)
by: Parnell, Jacob, et al.
Published: (2024)
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment
by: Wu, Zhaofeng, et al.
Published: (2024)
by: Wu, Zhaofeng, et al.
Published: (2024)
The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
by: Zhu, Xinyu, et al.
Published: (2025)
by: Zhu, Xinyu, et al.
Published: (2025)
General Intelligence Requires Reward-based Pretraining
by: Han, Seungwook, et al.
Published: (2025)
by: Han, Seungwook, et al.
Published: (2025)
Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024)
by: Zhao, Kailin, et al.
Published: (2024)
Self-Distillation Enables Continual Learning
by: Shenfeld, Idan, et al.
Published: (2026)
by: Shenfeld, Idan, et al.
Published: (2026)
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
by: Hallinan, Skyler, et al.
Published: (2025)
by: Hallinan, Skyler, et al.
Published: (2025)
Similar Items
-
Self-Adapting Language Models
by: Zweiger, Adam, et al.
Published: (2025) -
In-Context Language Learning: Architectures and Algorithms
by: Akyürek, Ekin, et al.
Published: (2024) -
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
by: Akyürek, Afra Feyza, et al.
Published: (2024) -
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
by: Wu, Zhaofeng, et al.
Published: (2023) -
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
by: Damani, Mehul, et al.
Published: (2025)