:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Boyang, Lindqvist, Johan, Li, Lindsey
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2511.16691
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Test-Time Training on Nearest Neighbors for Large Language Models
by: Hardt, Moritz, et al.
Published: (2023)

Long-Tail Crisis in Nearest Neighbor Language Models
by: Nishida, Yuto, et al.
Published: (2025)

Non-Exchangeable Conformal Language Generation with Nearest Neighbors
by: Ulmer, Dennis, et al.
Published: (2024)

NNOSE: Nearest Neighbor Occupational Skill Extraction
by: Zhang, Mike, et al.
Published: (2024)

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
by: Li, Minghan, et al.
Published: (2024)

Towards Faster k-Nearest-Neighbor Machine Translation
by: Shi, Xiangyu, et al.
Published: (2023)

Nearest Neighbor Normalization Improves Multimodal Retrieval
by: Chowdhury, Neil, et al.
Published: (2024)

Training-Free Test-Time Contrastive Learning for Large Language Models
by: Zheng, Kaiwen, et al.
Published: (2026)

Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
by: Gao, Yan, et al.
Published: (2024)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning
by: Bogahawatte, Jayanie, et al.
Published: (2024)

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
by: Li, Xiaoya, et al.
Published: (2025)

A Debiased Nearest Neighbors Framework for Multi-Label Text Classification
by: Cheng, Zifeng, et al.
Published: (2024)

Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks
by: Hashimoto, Wataru, et al.
Published: (2024)

Angular Dispersion Accelerates $k$-Nearest Neighbors Machine Translation
by: Tokarchuk, Evgeniia, et al.
Published: (2025)

Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification
by: Bates, Luke, et al.
Published: (2023)

Emergent Introspective Awareness in Large Language Models
by: Lindsey, Jack
Published: (2026)

Neighboring Perturbations of Knowledge Editing on Large Language Models
by: Ma, Jun-Yu, et al.
Published: (2024)

KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization
by: Song, Mingbo, et al.
Published: (2025)

EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
by: Li, Yuhui, et al.
Published: (2025)

Can Large Language Models abstract Medical Coded Language?
by: Lee, Simon A., et al.
Published: (2024)

Query-Conditioned Test-Time Self-Training for Large Language Models
by: Song, Chaehee, et al.
Published: (2026)

Reproducibility Study of Large Language Model Bayesian Optimization
by: Rychert, Adam, et al.
Published: (2025)

DAST: Difficulty-Aware Self-Training on Large Language Models
by: Xue, Boyang, et al.
Published: (2025)

N2C2: Nearest Neighbor Enhanced Confidence Calibration for Cross-Lingual In-Context Learning
by: He, Jie, et al.
Published: (2025)

Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency
by: Doostmohammadi, Ehsan, et al.
Published: (2025)

Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024)

H2HTalk: Evaluating Large Language Models as Emotional Companion
by: Wang, Boyang, et al.
Published: (2025)

Unveiling the Mystery of Visual Attributes of Concrete and Abstract Concepts: Variability, Nearest Neighbors, and Challenging Categories
by: Tater, Tarun, et al.
Published: (2024)

Test-Time Learning for Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)

mucAI at WojoodNER 2024: Arabic Named Entity Recognition with Nearest Neighbor Search
by: Abdou, Ahmed, et al.
Published: (2024)

Hybrid Alignment Training for Large Language Models
by: Wang, Chenglong, et al.
Published: (2024)

Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)

The Art of Scaling Test-Time Compute for Large Language Models
by: Agarwal, Aradhye, et al.
Published: (2025)

Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data
by: Ghorbanpour, Faeze, et al.
Published: (2025)

Reproducibility Study of "XRec: Large Language Models for Explainable Recommendation"
by: Mishra, Ranjan, et al.
Published: (2025)

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models
by: Chang, Kaiyan, et al.
Published: (2025)

TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
by: Zou, Henry Peng, et al.
Published: (2025)

Test-Time Fairness and Robustness in Large Language Models
by: Cotta, Leonardo, et al.
Published: (2024)

ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection
by: Li, Boyang, et al.
Published: (2026)

Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders
by: Ribadas-Pena, Francisco J., et al.
Published: (2024)