:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Singh, Avyav Kumar, Shutova, Ekaterina, Yannakoudakis, Helen
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2210.17437
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection
by: Verhoeven, Ivo, et al.
Published: (2024)

CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
by: Zhang, Zhi, et al.
Published: (2023)

NeuroAda: Activating Each Neuron's Potential for Parameter-Efficient Fine-Tuning
by: Zhang, Zhi, et al.
Published: (2025)

Designing Informative Metrics for Few-Shot Example Selection
by: Adiga, Rishabh, et al.
Published: (2024)

Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning
by: Crosbie, Joy, et al.
Published: (2024)

Evaluating Memory Structure in LLM Agents
by: Shutova, Alina, et al.
Published: (2026)

Self-Alignment: Improving Alignment of Cultural Values in LLMs via In-Context Learning
by: Choenni, Rochelle, et al.
Published: (2024)

PromptAL: Sample-Aware Dynamic Soft Prompts for Few-Shot Active Learning
by: Xiang, Hui, et al.
Published: (2025)

Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)

Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
by: Sato, Soma, et al.
Published: (2024)

Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection
by: Zhao, Shiman, et al.
Published: (2025)

An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
by: Pavlovic, Maja, et al.
Published: (2026)

Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models
by: Verhoeven, Ivo, et al.
Published: (2024)

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
by: Sarukkai, Vishnu, et al.
Published: (2025)

Asynchronous Reasoning: Training-Free Interactive Thinking LLMs
by: Yakushev, George, et al.
Published: (2025)

Geometric-Averaged Preference Optimization for Soft Preference Labels
by: Furuta, Hiroki, et al.
Published: (2024)

Revisiting Active Learning under (Human) Label Variation
by: Gruber, Cornelia, et al.
Published: (2025)

Lon-ea at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
by: Hosseini, Peyman, et al.
Published: (2023)

Learning and Forgetting Unsafe Examples in Large Language Models
by: Zhao, Jiachen, et al.
Published: (2023)

PLR: Plackett-Luce for Reordering In-Context Learning Examples
by: Batorski, Pawel, et al.
Published: (2026)

Learning to Learn for Few-shot Continual Active Learning
by: Ho, Stella, et al.
Published: (2023)

Alexpaca: Learning Factual Clarification Question Generation Without Examples
by: Toles, Matthew, et al.
Published: (2023)

Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
by: Rodionov, Gleb, et al.
Published: (2025)

To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
by: Azeemi, Abdul Hameed, et al.
Published: (2024)

The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning
by: Choenni, Rochelle, et al.
Published: (2024)

A framework for annotating and modelling intentions behind metaphor use
by: Michelli, Gianluca, et al.
Published: (2024)

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
by: Choenni, Rochelle, et al.
Published: (2023)

Density Matrices for Metaphor Understanding
by: Owers, Jay, et al.
Published: (2024)

Building a Few-Shot Cross-Domain Multilingual NLU Model for Customer Care
by: Kumar, Saurabh, et al.
Published: (2025)

Can Models Learn Skill Composition from Examples?
by: Zhao, Haoyu, et al.
Published: (2024)

Learning to Translate from Soft to Hard LLM Prompts
by: Kongsomjit, Pitipat, et al.
Published: (2026)

Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
by: Wang, Yimu, et al.
Published: (2025)

CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers
by: Trofimova, Ekaterina, et al.
Published: (2024)

Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
by: Kumar, Anantha Padmanaban Krishna
Published: (2025)

One size doesn't fit all: Predicting the Number of Examples for In-Context Learning
by: Chandra, Manish, et al.
Published: (2024)

PEARL: Prototype-Enhanced Alignment for Label-Efficient Representation Learning with Deployment-Driven Insights from Digital Governance Communication Systems
by: Zhang, Ruiyu, et al.
Published: (2026)

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
by: Burdisso, Sergio, et al.
Published: (2022)

Prompt Selection and Augmentation for Few Examples Code Generation in Large Language Model and its Application in Robotics Control
by: Wu, On Tai, et al.
Published: (2024)

A Survey of Cognitive Distortion Detection and Classification in NLP
by: Sage, Archie, et al.
Published: (2025)

HMS-BERT: Hybrid Multi-Task Self-Training for Multilingual and Multi-Label Cyberbullying Detection
by: Feng, Zixin, et al.
Published: (2026)