:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wang, Xuesong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2401.07367
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Annotator-Centric Active Learning for Subjective NLP Tasks
by: van der Meer, Michiel, et al.
Published: (2024)

Large Language Models Meet NLP: A Survey
by: Qin, Libo, et al.
Published: (2024)

BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models
by: Aung, Thura, et al.
Published: (2026)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
by: Jiang, Jiyue, et al.
Published: (2025)

TurkicNLP: An NLP Toolkit for Turkic Languages
by: Hakimov, Sherzod
Published: (2026)

Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective
by: Zhang, Yiqun, et al.
Published: (2024)

Towards Efficient Active Learning in NLP via Pretrained Representations
by: Vysogorets, Artem, et al.
Published: (2024)

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts
by: Gao, Fan, et al.
Published: (2023)

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
by: Li, Qintong, et al.
Published: (2023)

Batayan: A Filipino NLP benchmark for evaluating Large Language Models
by: Montalan, Jann Railey, et al.
Published: (2025)

Langformers: Unified NLP Pipelines for Language Models
by: Lamsal, Rabindra, et al.
Published: (2025)

Evolving Knowledge Distillation with Large Language Models and Active Learning
by: Liu, Chengyuan, et al.
Published: (2024)

An Active Learning Framework for Inclusive Generation by Large Language Models
by: Hassan, Sabit, et al.
Published: (2024)

Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP
by: Zhang, Lihong, et al.
Published: (2025)

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
by: Yang, Rui, et al.
Published: (2024)

Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
by: Poddar, Soham, et al.
Published: (2025)

Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey
by: Romberg, Julia, et al.
Published: (2025)

Select, Label, Evaluate: Active Testing in NLP
by: Purificato, Antonio, et al.
Published: (2026)

ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios
by: Bayer, Markus, et al.
Published: (2024)

Active Preference Learning for Large Language Models
by: Muldrew, William, et al.
Published: (2024)

Active Prompting with Chain-of-Thought for Large Language Models
by: Diao, Shizhe, et al.
Published: (2023)

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness
by: Li, Mingchen, et al.
Published: (2024)

BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
by: Kabir, Mohsinul, et al.
Published: (2023)

Causal-Guided Active Learning for Debiasing Large Language Models
by: Du, Li, et al.
Published: (2024)

Deep Bayesian Active Learning for Preference Modeling in Large Language Models
by: Melo, Luckeciano C., et al.
Published: (2024)

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

Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
by: Gema, Aryo Pradipta, et al.
Published: (2024)

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
by: Ignat, Oana, et al.
Published: (2023)

Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
by: Lavrinovics, Ernests, et al.
Published: (2024)

Active Model Selection for Large Language Models
by: Durmazkeser, Yavuz, et al.
Published: (2025)

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
by: Hu, Jiacheng, et al.
Published: (2024)

D-NLP at SemEval-2024 Task 2: Evaluating Clinical Inference Capabilities of Large Language Models
by: Altinok, Duygu
Published: (2024)

Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies
by: Huang, Yining, et al.
Published: (2024)

Beyond Monolingual Assumptions: A Survey of Code-Switched NLP in the Era of Large Language Models across Modalities
by: Sheth, Rajvee, et al.
Published: (2025)

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education
by: Yang, Rui, et al.
Published: (2024)

Large Language Models Are Active Critics in NLG Evaluation
by: Xu, Shuying, et al.
Published: (2024)

CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
by: Ayesh, Mutaz, et al.
Published: (2025)

Deanthropomorphising NLP: Can a Language Model Be Conscious?
by: Shardlow, Matthew, et al.
Published: (2022)

Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
by: Bayram, M. Ali, et al.
Published: (2024)

Automated ICD Classification of Psychiatric Diagnoses: From Classical NLP to Large Language Models
by: Ortega, Fernando, et al.
Published: (2026)