Image de couverture de livre

Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Younghun, Kim, Sungchul, Rossi, Ryan A., Yu, Tong, Chen, Xiang
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
par: Lee, Younghun, et autres
Publié: (2024)

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
par: Xia, Yu, et autres
Publié: (2024)

Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models
par: Lee, Younghun, et autres
Publié: (2024)

Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
par: Xia, Yu, et autres
Publié: (2025)

Bias and Fairness in Large Language Models: A Survey
par: Gallegos, Isabel O., et autres
Publié: (2023)

SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs
par: Lee, Younghun, et autres
Publié: (2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
par: Gallegos, Isabel O., et autres
Publié: (2024)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
par: In, Yeonjun, et autres
Publié: (2024)

Personalization of Large Language Models: A Survey
par: Zhang, Zhehao, et autres
Publié: (2024)

Federated Large Language Models: Current Progress and Future Directions
par: Yao, Yuhang, et autres
Publié: (2024)

Hallucination Diversity-Aware Active Learning for Text Summarization
par: Xia, Yu, et autres
Publié: (2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use
par: Zhang, Zhehao, et autres
Publié: (2024)

SAND: Boosting LLM Agents with Self-Taught Action Deliberation
par: Xia, Yu, et autres
Publié: (2025)

Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning
par: Kim, Jisu, et autres
Publié: (2024)

Multi-LLM Collaborative Caption Generation in Scientific Documents
par: Kim, Jaeyoung, et autres
Publié: (2025)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion
par: Liu, Yujian, et autres
Publié: (2024)

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
par: In, Yeonjun, et autres
Publié: (2025)

Five Years of SciCap: What We Learned and Future Directions for Scientific Figure Captioning
par: Huang, Ting-Hao 'Kenneth', et autres
Publié: (2025)

Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM
par: Lee, Younghun, et autres
Publié: (2026)

A Multi-LLM Debiasing Framework
par: Owens, Deonna M., et autres
Publié: (2024)

Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation
par: Liu, Zhenhua, et autres
Publié: (2024)

Exploring Rewriting Approaches for Different Conversational Tasks
par: Tanjim, Md Mehrab, et autres
Publié: (2025)

Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models
par: Chen, Xiang, et autres
Publié: (2023)

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023
par: Hsu, Ting-Yao E., et autres
Publié: (2025)

Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis
par: An, Seunghwan, et autres
Publié: (2024)

Towards Modeling Learner Performance with Large Language Models
par: Neshaei, Seyed Parsa, et autres
Publié: (2024)

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
par: Tanjim, Md Mehrab, et autres
Publié: (2025)

A Survey of Small Language Models
par: Van Nguyen, Chien, et autres
Publié: (2024)

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing
par: Yin, Ho, et autres
Publié: (2025)

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
par: Liu, Shicheng, et autres
Publié: (2023)

Personalized Multimodal Large Language Models: A Survey
par: Wu, Junda, et autres
Publié: (2024)

KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models
par: Kim, Seorin, et autres
Publié: (2025)

Safety-Aligned Weights Are Not Enough: Refusal-Teacher-Guided Finetuning Enhances Safety and Downstream Performance under Harmful Finetuning Attacks
par: Ham, Seokil, et autres
Publié: (2025)

NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
par: Han, Han, et autres
Publié: (2024)

POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
par: Karaman, Batuhan K., et autres
Publié: (2024)

Improving Natural Language Capability of Code Large Language Model
par: Li, Wei, et autres
Publié: (2024)

Improving Data and Reward Design for Scientific Reasoning in Large Language Models
par: Chen, Zijie, et autres
Publié: (2026)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications
par: Luera, Reuben, et autres
Publié: (2024)

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement
par: Tao, Leitian, et autres
Publié: (2024)

StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
par: Kwon, Minchan, et autres
Publié: (2024)