Cover Image

Instruction Tuning for Story Understanding and Generation with Weak Supervision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Yangshu, Chen, Heng, Ng, Christian
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CIMR: Contextualized Iterative Multimodal Reasoning for Robust Instruction Following in LVLMs
by: Yuan, Yangshu, et al.
Published: (2025)

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
by: Li, Ming, et al.
Published: (2024)

Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning
by: Christ, Lukas, et al.
Published: (2024)

Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models
by: Deng, Naihao, et al.
Published: (2025)

Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs
by: Wu, Wei, et al.
Published: (2024)

SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
by: Razumovskaia, Evgeniia, et al.
Published: (2023)

Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation
by: Hida, Rem, et al.
Published: (2024)

MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
by: Liu, Fuxiao, et al.
Published: (2023)

Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety
by: Shen, Qian, et al.
Published: (2026)

Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
by: Zhu, Wenhao, et al.
Published: (2025)

Instruction Following without Instruction Tuning
by: Hewitt, John, et al.
Published: (2024)

WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation
by: Zheng, Zinan, et al.
Published: (2026)

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
by: Gao, Chang, et al.
Published: (2023)

Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
by: Alajrami, Ahmed, et al.
Published: (2025)

MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
by: Yan, Qiao, et al.
Published: (2025)

Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning
by: Tan, Qingyu, et al.
Published: (2023)

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
by: Wu, Xuansheng, et al.
Published: (2023)

Capturing Classic Authorial Style in Long-Form Story Generation with GRPO Fine-Tuning
by: Liu, Jinlong, et al.
Published: (2025)

Supervised In-Context Fine-Tuning for Generative Sequence Labeling
by: Dukić, David, et al.
Published: (2025)

Generative Representational Instruction Tuning
by: Muennighoff, Niklas, et al.
Published: (2024)

A Unified Causal View of Instruction Tuning
by: Chen, Lu, et al.
Published: (2024)

A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation
by: Zhou, Shijie, et al.
Published: (2024)

Incentivizing Strong Reasoning from Weak Supervision
by: Yuan, Yige, et al.
Published: (2025)

Controllable Text Generation in the Instruction-Tuning Era
by: Ashok, Dhananjay, et al.
Published: (2024)

Event Causality Is Key to Computational Story Understanding
by: Sun, Yidan, et al.
Published: (2023)

Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning
by: Wu, Tianyi, et al.
Published: (2025)

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
by: Ruan, Zhiwen, et al.
Published: (2026)

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
by: Fu, Yujuan Velvin, et al.
Published: (2024)

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
by: Chen, Zihong, et al.
Published: (2025)

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
by: Zhang, Yanzhe, et al.
Published: (2023)

LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
by: Luo, Chuwei, et al.
Published: (2024)

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
by: Chen, Ruibo, et al.
Published: (2024)

IAPT: Instruction-Aware Prompt Tuning for Large Language Models
by: Zhu, Wei, et al.
Published: (2024)

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision
by: Long, Robert, et al.
Published: (2025)

Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision
by: Gopal, Shreyas, et al.
Published: (2026)

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
by: Li, Haoran, et al.
Published: (2024)

On the Effect of Instruction Tuning Loss on Generalization
by: Chatterjee, Anwoy, et al.
Published: (2025)

Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning
by: Han, Janghoon, et al.
Published: (2024)

Instruction Tuning With Loss Over Instructions
by: Shi, Zhengyan, et al.
Published: (2024)

PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
by: Xue, Tianci, et al.
Published: (2023)