Copertina

Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tikhomirov, Mikhail, Loukachevitch, Natalia
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
di: Li, Junlong, et al.
Pubblicazione: (2022)

Facilitating large language model Russian adaptation with Learned Embedding Propagation
di: Tikhomirov, Mikhail, et al.
Pubblicazione: (2024)

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
di: Liu, Haoxin, et al.
Pubblicazione: (2024)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
di: Zhu, Yinghao, et al.
Pubblicazione: (2024)

Leveraging Zero-Shot Prompting for Efficient Language Model Distillation
di: Vöge, Lukas, et al.
Pubblicazione: (2024)

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
di: Wu, Zijun, et al.
Pubblicazione: (2023)

HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings
di: Parmar, Maulik, et al.
Pubblicazione: (2022)

Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation
di: Njifenjou, Ahmed, et al.
Pubblicazione: (2024)

Benchmarking Open-Source Large Language Models for Persian in Zero-Shot and Few-Shot Learning
di: Cherakhloo, Mahdi, et al.
Pubblicazione: (2025)

Building Russian Benchmark for Evaluation of Information Retrieval Models
di: Kovalev, Grigory, et al.
Pubblicazione: (2025)

Large Language Models are Zero-Shot Next Location Predictors
di: Beneduce, Ciro, et al.
Pubblicazione: (2024)

Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning
di: Philippy, Fred, et al.
Pubblicazione: (2025)

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
di: Han, Chi, et al.
Pubblicazione: (2023)

Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages
di: Zou, Heqing, et al.
Pubblicazione: (2025)

RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
di: Loukachevitch, Natalia, et al.
Pubblicazione: (2025)

When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
di: Seleznyov, Mikhail, et al.
Pubblicazione: (2025)

Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models
di: McDaniel, Emma, et al.
Pubblicazione: (2024)

SpatialPrompting: Keyframe-driven Zero-Shot Spatial Reasoning with Off-the-Shelf Multimodal Large Language Models
di: Taguchi, Shun, et al.
Pubblicazione: (2025)

DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries
di: Mishra, Manit, et al.
Pubblicazione: (2024)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design
di: Srinivas, Sakhinana Sagar, et al.
Pubblicazione: (2024)

Prompt-Based Value Steering of Large Language Models
di: Abbo, Giulio Antonio, et al.
Pubblicazione: (2025)

Wikipedia-based Datasets in Russian Information Retrieval Benchmark RusBEIR
di: Kovalev, Grigory, et al.
Pubblicazione: (2025)

Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation
di: Susanti, Yuni, et al.
Pubblicazione: (2024)

Exploring Large Language Models for Detecting Mental Disorders
di: Kuzmin, Gleb, et al.
Pubblicazione: (2024)

Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
di: Civitarese, Gabriele, et al.
Pubblicazione: (2024)

Agent Instructs Large Language Models to be General Zero-Shot Reasoners
di: Crispino, Nicholas, et al.
Pubblicazione: (2023)

ZeroUnlearn: Few-Shot Knowledge Unlearning in Large Language Models
di: Lin, Yujie, et al.
Pubblicazione: (2026)

Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
di: Chen, Po-Chun, et al.
Pubblicazione: (2026)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
di: Wijesiriwardene, Thilini, et al.
Pubblicazione: (2024)

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
di: Chhabra, Anshuman, et al.
Pubblicazione: (2024)

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
di: Li, Guozheng, et al.
Pubblicazione: (2024)

Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-Sample Aggregation on Large Language Models
di: Mohan, Jayanth, et al.
Pubblicazione: (2025)

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
di: Bandarkar, Lucas, et al.
Pubblicazione: (2024)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion
di: Jia, Pengyue, et al.
Pubblicazione: (2023)

Large Language Models in Targeted Sentiment Analysis
di: Rusnachenko, Nicolay, et al.
Pubblicazione: (2024)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
di: Vatsal, Shubham, et al.
Pubblicazione: (2024)

Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
di: Toukmaji, Christopher
Pubblicazione: (2024)

Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
di: Tan, Yang, et al.
Pubblicazione: (2024)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
di: Zhang, Qing, et al.
Pubblicazione: (2025)

Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning
di: Tang, Jingyao, et al.
Pubblicazione: (2025)