Cover Image

LLMs for Enhanced Agricultural Meteorological Recommendations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Ji-jun, Choi, Soo-joon
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
by: Choi, Soo-joon, et al.
Published: (2025)

Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives
by: Park, Ji-jun, et al.
Published: (2024)

MechELK: A Mechanistic Interpretability Framework for Eliciting Latent Knowledge in Large Language Models
by: Park, Ji-jun, et al.
Published: (2026)

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
by: Jeon, Hyesung, et al.
Published: (2024)

ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
by: Han, Seungmin, et al.
Published: (2025)

Enhancing Time Awareness in Generative Recommendation
by: Lee, Sunkyung, et al.
Published: (2025)

KiC: Keyword-inspired Cascade for Cost-Efficient Text Generation with LLMs
by: Kim, Woo-Chan, et al.
Published: (2025)

Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
by: Gwak, Daehoon, et al.
Published: (2025)

LLM-Enhanced Linear Autoencoders for Recommendation
by: Moon, Jaewan, et al.
Published: (2025)

Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
by: Bi, Baolong, et al.
Published: (2024)

BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT
by: Choi, Seung-Woo, et al.
Published: (2024)

Emulating Retrieval Augmented Generation via Prompt Engineering for Enhanced Long Context Comprehension in LLMs
by: Park, Joon, et al.
Published: (2025)

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
by: Kim, Tae Soo, et al.
Published: (2025)

Enhancing Agricultural Machinery Management through Advanced LLM Integration
by: Johnson, Emily, et al.
Published: (2024)

Personalized Causal Graph Reasoning for LLMs: An Implementation for Dietary Recommendations
by: Yang, Zhongqi, et al.
Published: (2025)

Smoothie-Qwen: Post-Hoc Smoothing to Reduce Language Bias in Multilingual LLMs
by: Ji, SeungWon, et al.
Published: (2025)

ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMs
by: Yoo, HanGyeol, et al.
Published: (2026)

Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding
by: Ji, Deyi, et al.
Published: (2024)

Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning
by: Ji, Ke, et al.
Published: (2025)

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
by: Wang, Siyuan, et al.
Published: (2024)

Taxonomy-Guided Zero-Shot Recommendations with LLMs
by: Liang, Yueqing, et al.
Published: (2024)

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
by: Han, Haoyu, et al.
Published: (2025)

Enhancing Medication Recommendation with LLM Text Representation
by: Lee, Yu-Tzu
Published: (2024)

Writer-R1: Enhancing Generative Writing in LLMs via Memory-augmented Replay Policy Optimization
by: Zhao, Jihao, et al.
Published: (2026)

Ko-MuSR: A Multistep Soft Reasoning Benchmark for LLMs Capable of Understanding Korean
by: Park, Chanwoo, et al.
Published: (2025)

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
by: Lin, Zijie, et al.
Published: (2025)

Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration
by: Sui, Songyuan, et al.
Published: (2025)

Whitening Not Recommended for Classification Tasks in LLMs
by: Forooghi, Ali, et al.
Published: (2024)

UIO-LLMs: Unbiased Incremental Optimization for Long-Context LLMs
by: Li, Wenhao, et al.
Published: (2024)

DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs
by: Choi, Nayoung, et al.
Published: (2026)

Abusive text transformation using LLMs
by: Chandra, Rohitash, et al.
Published: (2025)

GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs
by: Kim, Kun-Woo, et al.
Published: (2025)

PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
by: Liu, An, et al.
Published: (2024)

Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
by: Liu, Qijiong, et al.
Published: (2025)

Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs
by: Kassem, Aly M., et al.
Published: (2024)

Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
by: Yeom, Jewon, et al.
Published: (2026)

Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs
by: Wei, Kaiwen, et al.
Published: (2025)

Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
by: Rodríguez, Elisa Forcada, et al.
Published: (2025)

Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task
by: Lee, Hoonick, et al.
Published: (2024)

How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study
by: Ji, Yunjie, et al.
Published: (2025)