Cover Image

Mitigating Clickbait: An Approach to Spoiler Generation Using Multitask Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pal, Sayantan, Das, Souvik, Srihari, Rohini K.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations
by: Pal, Sayantan, et al.
Published: (2024)

Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues
by: Saha, Sougata, et al.
Published: (2024)

Improving Dialog Safety using Socially Aware Contrastive Learning
by: Das, Souvik, et al.
Published: (2024)

GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models
by: Tiwari, Anushka, et al.
Published: (2025)

Clickbait Detection via Large Language Models
by: Wang, Han, et al.
Published: (2023)

A Recipe For Building a Compliant Real Estate Chatbot
by: Madani, Navid, et al.
Published: (2024)

NoticIA: A Clickbait Article Summarization Dataset in Spanish
by: García-Ferrero, Iker, et al.
Published: (2024)

Click it or Leave it: Detecting and Spoiling Clickbait with Informativeness Measures and Large Language Models
by: Michaluk, Wojciech, et al.
Published: (2026)

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
by: Zhang, Chaowei, et al.
Published: (2026)

A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP
by: Peng, Cheng, et al.
Published: (2026)

Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
by: Jan, Essa, et al.
Published: (2024)

ESC-Judge: A Framework for Comparing Emotional Support Conversational Agents
by: Madani, Navid, et al.
Published: (2025)

A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting
by: Li, Yuang, et al.
Published: (2023)

Generation Constraint Scaling Can Mitigate Hallucination
by: Kollias, Georgios, et al.
Published: (2024)

MuLD: The Multitask Long Document Benchmark
by: Hudson, G Thomas, et al.
Published: (2022)

CreoleVal: Multilingual Multitask Benchmarks for Creoles
by: Lent, Heather, et al.
Published: (2023)

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
by: Qin, Yang, et al.
Published: (2024)

Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models
by: Pandey, Sanskar, et al.
Published: (2025)

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling
by: Kumar, Sayantan, et al.
Published: (2026)

Learning by Surprise: Surplexity for Mitigating Model Collapse in Generative AI
by: Gambetta, Daniele, et al.
Published: (2024)

Textless NLP -- Zero Resource Challenge with Low Resource Compute
by: Ramadass, Krithiga, et al.
Published: (2024)

Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models
by: Feng, Wenfeng, et al.
Published: (2024)

CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning
by: Cui, Hao, et al.
Published: (2025)

MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation
by: Yao, Jihan, et al.
Published: (2025)

LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
by: Hikal, Baraa, et al.
Published: (2026)

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare
by: Noroozizadeh, Shahriar, et al.
Published: (2025)

Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification
by: Andrade, Moises, et al.
Published: (2025)

Steering Conversational Large Language Models for Long Emotional Support Conversations
by: Madani, Navid, et al.
Published: (2024)

A Variational Approach for Mitigating Entity Bias in Relation Extraction
by: Mensah, Samuel, et al.
Published: (2025)

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks
by: Bai, Yushi, et al.
Published: (2024)

Confidence-Aware Routing for Large Language Model Reliability Enhancement: A Multi-Signal Approach to Pre-Generation Hallucination Mitigation
by: M, Nandakishor
Published: (2025)

Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
by: Shirafuji, Daiki, et al.
Published: (2024)

LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation
by: Hashemi, Mohammad Abuzar, et al.
Published: (2021)

COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing
by: Sheth, Rajvee, et al.
Published: (2025)

Measuring Massive Multitask Chinese Understanding
by: Zeng, Hui
Published: (2023)

CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
by: Yan, Weixiang, et al.
Published: (2023)

Mem-$π$: Adaptive Memory through Learning When and What to Generate
by: Wang, Xiaoqiang, et al.
Published: (2026)

Mitigating Shortcut Reasoning in Language Models: A Gradient-Aware Training Approach
by: Cao, Hongyu, et al.
Published: (2026)

Tracing Partisan Bias to Its Emotional Fingerprints: A Computational Approach to Mitigation
by: Liu, Junjie, et al.
Published: (2025)

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models
by: Ge, Yao, et al.
Published: (2025)