Copertina

Deep Prompt Multi-task Network for Abuse Language Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Jian, Ruan, Yuping, Chang, Jingfei, Sun, Wenhui, Wan, Hui, Long, Jian, Luo, Cheng
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
di: Zhao, Xueliang, et al.
Pubblicazione: (2025)

Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages
di: Vaidya, Aatman, et al.
Pubblicazione: (2024)

DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection
di: Chakraborty, Joymallya, et al.
Pubblicazione: (2024)

SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing
di: Oyeyemi, Dare Azeez, et al.
Pubblicazione: (2024)

Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation
di: Ruan, Jie, et al.
Pubblicazione: (2024)

From Token to Token Pair: Efficient Prompt Compression for Large Language Models in Clinical Prediction
di: Zhu, Mingcheng, et al.
Pubblicazione: (2026)

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
di: Li, Hao, et al.
Pubblicazione: (2024)

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows
di: Ayala, Orlando Marquez, et al.
Pubblicazione: (2025)

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
di: Yu, Xingtong, et al.
Pubblicazione: (2023)

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
di: Zhang, Yuanming, et al.
Pubblicazione: (2025)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
di: Dong, Honghua, et al.
Pubblicazione: (2024)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
di: Zhao, Xueliang, et al.
Pubblicazione: (2025)

An Empirical Study of Multi-Generation Sampling for Jailbreak Detection in Large Language Models
di: Luo, Hanrui, et al.
Pubblicazione: (2026)

nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder
di: Kuznetsov, Maksim, et al.
Pubblicazione: (2024)

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
di: Wang, Shaowen, et al.
Pubblicazione: (2025)

Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
di: Zhou, Zhanke, et al.
Pubblicazione: (2024)

Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
di: Huang, Jingfei, et al.
Pubblicazione: (2025)

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models
di: Yan, Yuping, et al.
Pubblicazione: (2025)

Stability-Weighted Decoding for Diffusion Language Models
di: Wu, Yue, et al.
Pubblicazione: (2026)

Prompting Large Language Models to Detect Dementia Family Caregivers
di: Biswas, Md Badsha, et al.
Pubblicazione: (2025)

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
di: He, Kang, et al.
Pubblicazione: (2024)

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling
di: Ruan, Jie, et al.
Pubblicazione: (2024)

On-device System of Compositional Multi-tasking in Large Language Models
di: Bohdal, Ondrej, et al.
Pubblicazione: (2025)

Efficient Compositional Multi-tasking for On-device Large Language Models
di: Bohdal, Ondrej, et al.
Pubblicazione: (2025)

PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
di: Zhao, Chenzhuo, et al.
Pubblicazione: (2025)

Customize Multi-modal RAI Guardrails with Precedent-based predictions
di: Yang, Cheng-Fu, et al.
Pubblicazione: (2025)

Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
di: Tan, Wenhui, et al.
Pubblicazione: (2026)

Training-free LLM Merging for Multi-task Learning
di: Fu, Zichuan, et al.
Pubblicazione: (2025)

SODA: Semi On-Policy Black-Box Distillation for Large Language Models
di: Chen, Xiwen, et al.
Pubblicazione: (2026)

Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation
di: Pu, Jiashu, et al.
Pubblicazione: (2024)

Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
di: Cho, Youngjae, et al.
Pubblicazione: (2024)

Prompt Valuation Based on Shapley Values
di: Liu, Hanxi, et al.
Pubblicazione: (2023)

Making Pre-trained Language Models Great on Tabular Prediction
di: Yan, Jiahuan, et al.
Pubblicazione: (2024)

Robust Detection of Watermarks for Large Language Models Under Human Edits
di: Li, Xiang, et al.
Pubblicazione: (2024)

Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks
di: Lau, Gregory Kang Ruey, et al.
Pubblicazione: (2024)

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark
di: Zhao, Qihao, et al.
Pubblicazione: (2024)

Block Rotation is All You Need for MXFP4 Quantization
di: Shao, Yuantian, et al.
Pubblicazione: (2025)

Prompt Exploration with Prompt Regression
di: Feffer, Michael, et al.
Pubblicazione: (2024)

DOS: Dependency-Oriented Sampler for Masked Diffusion Language Models
di: Zhou, Xueyu, et al.
Pubblicazione: (2026)

Language models scale reliably with over-training and on downstream tasks
di: Gadre, Samir Yitzhak, et al.
Pubblicazione: (2024)