Cover Image

Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhan, Zaifu, Zhang, Rui
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

RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
by: Zhan, Zaifu, et al.
Published: (2024)

MMRAG: Multi-Mode Retrieval-Augmented Generation with Large Language Models for Biomedical In-Context Learning
by: Zhan, Zaifu, et al.
Published: (2025)

An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review
by: Zhan, Zaifu, et al.
Published: (2026)

EPEE: Towards Efficient and Effective Foundation Models in Biomedicine
by: Zhan, Zaifu, et al.
Published: (2025)

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
by: Zhan, Zaifu, et al.
Published: (2025)

An evaluation of DeepSeek Models in Biomedical Natural Language Processing
by: Zhan, Zaifu, et al.
Published: (2025)

Large Language Model as a Universal Clinical Multi-task Decoder
by: Wu, Yujiang, et al.
Published: (2024)

Benchmarking GPT-5 for biomedical natural language processing
by: Hou, Yu, et al.
Published: (2025)

Deploying Multi-task Online Server with Large Language Model
by: Qu, Yincen, et al.
Published: (2024)

Large Language Models for Disease Diagnosis: A Scoping Review
by: Zhou, Shuang, et al.
Published: (2024)

RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step
by: Luo, Xiaocheng, et al.
Published: (2026)

Timo: Towards Better Temporal Reasoning for Language Models
by: Su, Zhaochen, et al.
Published: (2024)

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
by: Zhao, Hang, et al.
Published: (2024)

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
by: Zhan, Zaifu, et al.
Published: (2026)

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

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

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)

Towards Better Monolingual Japanese Retrievers with Multi-Vector Models
by: Clavié, Benjamin
Published: (2023)

MultiLS: A Multi-task Lexical Simplification Framework
by: North, Kai, et al.
Published: (2024)

Supervised Knowledge Makes Large Language Models Better In-context Learners
by: Yang, Linyi, et al.
Published: (2023)

Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)

CausalEval: Towards Better Causal Reasoning in Language Models
by: Yu, Longxuan, et al.
Published: (2024)

Learning to Self-Verify Makes Language Models Better Reasoners
by: Chen, Yuxin, et al.
Published: (2026)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
by: Tang, Xiaqiang, et al.
Published: (2025)

AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
by: Savigny, Henri, et al.
Published: (2025)

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
by: Li, Chengao, et al.
Published: (2025)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
by: Zhan, Zaifu, et al.
Published: (2026)

Combining Knowledge Graphs and Large Language Models
by: Kau, Amanda, et al.
Published: (2024)

A Multi-Layered Large Language Model Framework for Disease Prediction
by: Mohamed, Malak, et al.
Published: (2025)

DaSAThco: Data-Aware SAT Heuristics Combinations Optimization via Large Language Models
by: Chen, Minyu, et al.
Published: (2025)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
by: Jiang, Guanying, et al.
Published: (2024)

Rethinking Data: Towards Better Performing Domain-Specific Small Language Models
by: Nazarov, Boris, et al.
Published: (2025)

Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models
by: Wang, Teng, 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)

Uncovering Implicit Bias in Large Language Models with Concept Learning Dataset
by: Wang, Leroy Z.
Published: (2025)

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
by: Chen, Yanjun, et al.
Published: (2024)

Multi-Scale Manifold Alignment for Interpreting Large Language Models: A Unified Information-Geometric Framework
by: Zhang, Yukun, et al.
Published: (2025)