:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Marom, Ofir
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.11583
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A General Retrieval-Augmented Generation Framework for Multimodal Case-Based Reasoning Applications
by: Marom, Ofir
Published: (2025)

Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models
by: Liu, Biao, et al.
Published: (2025)

CPLLM: Clinical Prediction with Large Language Models
by: Shoham, Ofir Ben, et al.
Published: (2023)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model
by: Liu, Yaohua
Published: (2024)

Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
by: Jiang, Jiyue, et al.
Published: (2025)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2024)

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
by: Joshi, Ratnesh Kumar, et al.
Published: (2024)

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
by: Cook, David A.
Published: (2026)

UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality
by: Cheng, Zelei, et al.
Published: (2025)

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

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali
by: Adib, Shefayat E Shams, et al.
Published: (2026)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
by: Arbel, Iftach, et al.
Published: (2024)

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
by: He, Chengyang, et al.
Published: (2025)

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)

M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models
by: Guo, Jiaxin, et al.
Published: (2024)

Doppelgänger's Watch: A Split Objective Approach to Large Language Models
by: Ghasemlou, Shervin, et al.
Published: (2024)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models
by: Xie, Chengxing, et al.
Published: (2024)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning
by: Wang, Yejie, et al.
Published: (2024)

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?
by: Jiang, Jin, et al.
Published: (2025)

Knowledge Editing in Language Models via Adapted Direct Preference Optimization
by: Rozner, Amit, et al.
Published: (2024)

LogicSkills: A Structured Benchmark for Formal Reasoning in Large Language Models
by: Rabern, Brian, et al.
Published: (2026)

Evaluating Prompting Strategies and Large Language Models in Systematic Literature Review Screening: Relevance and Task-Stage Classification
by: Han, Binglan, et al.
Published: (2025)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

Large Language Models Prompting With Episodic Memory
by: Do, Dai, et al.
Published: (2024)

On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)

TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting
by: Leng, Jiaming, et al.
Published: (2025)

Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
by: Tan, Wenting, et al.
Published: (2024)

Waking Up an AI: A Quantitative Framework for Prompt-Induced Phase Transition in Large Language Models
by: Sato, Makoto
Published: (2025)

Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Model
by: Wang, Jie, et al.
Published: (2024)

Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
by: Zhang, Pieyi, et al.
Published: (2025)

Pareto Multi-Objective Alignment for Language Models
by: He, Qiang, et al.
Published: (2025)

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

IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding
by: KJ, Sankalp, et al.
Published: (2025)

TaskBench: Benchmarking Large Language Models for Task Automation
by: Shen, Yongliang, et al.
Published: (2023)

Large Language Models are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales
by: Kwon, Taeyoon, et al.
Published: (2023)

Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework
by: Chen, Yirui, et al.
Published: (2024)