:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lei, Shuyu, Liu, Lingen, Yang, Jiaolong, Jiao, Yasen, Yang, Yuxiang, Yang, Yushu, Guo, Xiang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2407.14875
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MiMo-Audio: Audio Language Models are Few-Shot Learners
by: Core Team, et al.
Published: (2025)

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

Making Text Embedders Few-Shot Learners
by: Li, Chaofan, et al.
Published: (2024)

LLMs Are Few-Shot In-Context Low-Resource Language Learners
by: Cahyawijaya, Samuel, et al.
Published: (2024)

Few-Shot Recalibration of Language Models
by: Li, Xiang Lisa, et al.
Published: (2024)

StreamUni: Achieving Streaming Speech Translation with a Unified Large Speech-Language Model
by: Guo, Shoutao, et al.
Published: (2025)

VERT: Verified Equivalent Rust Transpilation with Large Language Models as Few-Shot Learners
by: Yang, Aidan Z. H., et al.
Published: (2024)

Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models
by: Xiang, Bajian, et al.
Published: (2026)

Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners
by: Lee, Jihyeon, et al.
Published: (2023)

EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)

Recent Advances in Speech Language Models: A Survey
by: Cui, Wenqian, et al.
Published: (2024)

Language Models are Few-Shot Graders
by: Zhao, Chenyan, et al.
Published: (2025)

Few-shot Hate Speech Detection Based on the MindSpore Framework
by: Qin, Zhenkai, et al.
Published: (2025)

Large Language Models are Null-Shot Learners
by: Taveekitworachai, Pittawat, et al.
Published: (2024)

ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech
by: Jiang, Shuyu, et al.
Published: (2023)

LLMs on Drugs: Language Models Are Few-Shot Consumers
by: Doudkin, Alexander
Published: (2025)

FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing
by: Guo, Shoutao, et al.
Published: (2025)

Structured Gradient Guidance for Few-Shot Adaptation in Large Language Models
by: Zheng, Hongye, et al.
Published: (2025)

Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
by: Luo, Da, et al.
Published: (2023)

Focused Large Language Models are Stable Many-Shot Learners
by: Yuan, Peiwen, et al.
Published: (2024)

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
by: Hu, Yuchen, et al.
Published: (2024)

PLHF: Prompt Optimization with Few-Shot Human Feedback
by: Yang, Chun-Pai, et al.
Published: (2025)

Hound: Hunting Supervision Signals for Few and Zero Shot Node Classification on Text-attributed Graph
by: Wang, Yuxiang, et al.
Published: (2024)

Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
by: Gedeon, Máté
Published: (2025)

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
by: Tang, Lei, et al.
Published: (2025)

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
by: Ju, Zeqian, et al.
Published: (2024)

SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation
by: Luthra, Mahi, et al.
Published: (2025)

Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection
by: Gao, Yifan, et al.
Published: (2025)

One-Shot Learning as Instruction Data Prospector for Large Language Models
by: Li, Yunshui, et al.
Published: (2023)

Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
by: Shen, William, et al.
Published: (2023)

U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
by: Song, Jiaxin, et al.
Published: (2025)

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

Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data
by: Zhao, Shuaijiang, et al.
Published: (2024)

Few-Shot Adversarial Prompt Learning on Vision-Language Models
by: Zhou, Yiwei, et al.
Published: (2024)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
by: Shi, Fobo, et al.
Published: (2023)

Enhancing Generalization of Speech Large Language Models with Multi-Task Behavior Imitation and Speech-Text Interleaving
by: Xie, Jingran, et al.
Published: (2025)

Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024)

Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies
by: Kuila, Alapan, et al.
Published: (2024)

Large Language Models for Few-Shot Named Entity Recognition
by: Zhao, Yufei, et al.
Published: (2018)

Language Model Representations for Efficient Few-Shot Tabular Classification
by: Kang, Inwon, et al.
Published: (2026)