Cover Image

Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yingya, Miller, Timothy, Bethard, Steven, Savova, Guergana
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

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification
by: Chen, Shan, et al.
Published: (2023)

Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
by: Bui, Nghia, et al.
Published: (2025)

Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
by: Zhang, Pieyi, et al.
Published: (2025)

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
by: Ethayarajh, Kawin, et al.
Published: (2021)

Memorization in In-Context Learning
by: Golchin, Shahriar, et al.
Published: (2024)

Large Language Models to Identify Social Determinants of Health in Electronic Health Records
by: Guevara, Marco, et al.
Published: (2023)

Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning
by: Lai, Wenna, et al.
Published: (2024)

Identifying Good and Bad Neurons for Task-Level Controllable LLMs
by: Li, Wenjie, et al.
Published: (2026)

MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text
by: Li, Chenjun, et al.
Published: (2026)

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
by: Jia, Zixia, et al.
Published: (2024)

Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
by: Wang, Bing, et al.
Published: (2026)

Reason2Decide: Rationale-Driven Multi-Task Learning
by: Hasan, H M Quamran, et al.
Published: (2025)

CrossPT: Exploring Cross-Task Transferability through Multi-Task Prompt Tuning
by: Pouramini, Ahmad, et al.
Published: (2025)

STaD: Scaffolded Task Design for Identifying Compositional Skill Gaps in LLMs
by: An, Sungeun, et al.
Published: (2026)

FAME: Towards Factual Multi-Task Model Editing
by: Zeng, Li, et al.
Published: (2024)

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts
by: Chowdhury, Anjir Ahmed, et al.
Published: (2026)

MMSR: Symbolic Regression is a Multi-Modal Information Fusion Task
by: Li, Yanjie, et al.
Published: (2024)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
by: Zhang, Chaowei, et al.
Published: (2025)

Evaluating Contrast Localizer for Identifying Causal Units in Social & Mathematical Tasks in Language Models
by: Jamaa, Yassine, et al.
Published: (2025)

Align, Don't Divide: Revisiting the LoRA Architecture in Multi-Task Learning
by: Liu, Jinda, et al.
Published: (2025)

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
by: Hu, Mengkang, et al.
Published: (2025)

Schema-Aware Multi-Task Learning for Complex Text-to-SQL
by: Wu, Yangjun, et al.
Published: (2024)

TaskBench: Benchmarking Large Language Models for Task Automation
by: Shen, Yongliang, et al.
Published: (2023)

Provable Benefits of Task-Specific Prompts for In-context Learning
by: Chang, Xiangyu, et al.
Published: (2025)

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks
by: Ramesh, Shyam Sundhar, et al.
Published: (2026)

GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface
by: Zaratiana, Urchade, et al.
Published: (2025)

Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
by: Chen, Jingxiang, et al.
Published: (2026)

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction
by: Luo, Jinming, et al.
Published: (2025)

Modular Multi-Task Learning for Chemical Reaction Prediction
by: Pang, Jiayun, et al.
Published: (2026)

Mechanism of Task-oriented Information Removal in In-context Learning
by: Cho, Hakaze, et al.
Published: (2025)

From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?
by: Huang, Guangming, et al.
Published: (2024)

Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
by: Shen, Guobin, et al.
Published: (2026)

A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
by: Cadeddu, Andrea, et al.
Published: (2025)

Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
by: Oh, Minsik, et al.
Published: (2023)

GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion
by: Liu, Tongxuan, et al.
Published: (2024)

PsychiatryBench: A Multi-Task Benchmark for LLMs in Psychiatry
by: Fouda, Aya E., et al.
Published: (2025)

$\texttt{COSMIC}$: Mutual Information for Task-Agnostic Summarization Evaluation
by: Darrin, Maxime, et al.
Published: (2024)

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
by: Li, Yilong, et al.
Published: (2025)

Unleashing Embodied Task Planning Ability in LLMs via Reinforcement Learning
by: Fei, Zhaoye, et al.
Published: (2025)

T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task
by: Tong, Xindi, et al.
Published: (2024)