Buchumschlag

Tuning Language Models for Robust Prediction of Diverse User Behaviors

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Meng, Fanjin, Ding, Jingtao, Gong, Jiahui, Yang, Chen, Chen, Hong, Wang, Zuojian, Lu, Haisheng, Li, Yong
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

BehaveGPT: A Foundation Model for Large-scale User Behavior Modeling
von: Gong, Jiahui, et al.
Veröffentlicht: (2025)

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation
von: Meng, Fanjin, et al.
Veröffentlicht: (2026)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
von: Gong, Jiahui, et al.
Veröffentlicht: (2024)

Small Language Model Makes an Effective Long Text Extractor
von: Chen, Yelin, et al.
Veröffentlicht: (2025)

MoveGPT: Scaling Mobility Foundation Models with Spatially-Aware Mixture of Experts
von: Han, Chonghua, et al.
Veröffentlicht: (2025)

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
von: Xu, Fengli, et al.
Veröffentlicht: (2025)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
von: Li, Hongyu, et al.
Veröffentlicht: (2024)

GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model
von: Pang, Yunhe, et al.
Veröffentlicht: (2024)

Towards Robust Instruction Tuning on Multimodal Large Language Models
von: Han, Wei, et al.
Veröffentlicht: (2024)

Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
von: Luo, Ling, et al.
Veröffentlicht: (2023)

BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
von: Wang, Jianan, et al.
Veröffentlicht: (2024)

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment
von: Song, Feifan, et al.
Veröffentlicht: (2024)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
von: Pan, Xuchen, et al.
Veröffentlicht: (2024)

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
von: Huang, Jing, et al.
Veröffentlicht: (2025)

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
von: Xi, Zhiheng, et al.
Veröffentlicht: (2024)

MCSD: An Efficient Language Model with Diverse Fusion
von: Yang, Hua, et al.
Veröffentlicht: (2024)

PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
von: Choi, Hyeong Kyu, et al.
Veröffentlicht: (2024)

BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
von: Tran, Hieu, et al.
Veröffentlicht: (2023)

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

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs
von: Saha, Sougata, et al.
Veröffentlicht: (2025)

DIP: Dynamic In-Context Planner For Diffusion Language Models
von: Li, Yang, et al.
Veröffentlicht: (2026)

When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
von: Zheng, Yingming, et al.
Veröffentlicht: (2025)

Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
von: Peng, Cheng, et al.
Veröffentlicht: (2023)

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
von: Mai, Long, et al.
Veröffentlicht: (2024)

AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
von: Shao, Chenyang, et al.
Veröffentlicht: (2025)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
von: Yang, Linyao, et al.
Veröffentlicht: (2023)

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
von: Zhang, Xinlu, et al.
Veröffentlicht: (2024)

SAM Decoding: Speculative Decoding via Suffix Automaton
von: Hu, Yuxuan, et al.
Veröffentlicht: (2024)

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models
von: Yang, Hao, et al.
Veröffentlicht: (2025)

HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models through Curriculum Tuning
von: Yang, Qihao, et al.
Veröffentlicht: (2025)

$\mathcal{S}^2$IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction
von: Chen, Bingfeng, et al.
Veröffentlicht: (2026)

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
von: Ding, Fei, et al.
Veröffentlicht: (2025)

Training Agents with Weakly Supervised Feedback from Large Language Models
von: Gong, Dihong, et al.
Veröffentlicht: (2024)

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
von: Zhang, Kai, et al.
Veröffentlicht: (2023)

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder
von: Yang, Xianjun, et al.
Veröffentlicht: (2025)

Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
von: Wang, Jun, et al.
Veröffentlicht: (2025)

How does Misinformation Affect Large Language Model Behaviors and Preferences?
von: Peng, Miao, et al.
Veröffentlicht: (2025)

Preventing Catastrophic Forgetting: Behavior-Aware Sampling for Safer Language Model Fine-Tuning
von: Pham, Anh, et al.
Veröffentlicht: (2025)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise
von: Yang, Qimin, et al.
Veröffentlicht: (2024)

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
von: Peeperkorn, Max, et al.
Veröffentlicht: (2025)