Chained Prompting for Better Systematic Review Search Strategies
Fuente:
arXiv
Saved in:
| Main Authors: | Nasser, Fatima, Trad, Fouad, Mohanna, Ammar, Fuleihan, Ghada El-Hajj, Chehab, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Streamlining Systematic Reviews: A Novel Application of Large Language Models
by: Trad, Fouad, et al.
Published: (2024)
by: Trad, Fouad, et al.
Published: (2024)
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models
by: Trad, Fouad, et al.
Published: (2024)
by: Trad, Fouad, et al.
Published: (2024)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)
by: Trad, Fouad, et al.
Published: (2025)
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction
by: Trad, Fouad, et al.
Published: (2024)
by: Trad, Fouad, et al.
Published: (2024)
Tutorial on Reasoning for IR & IR for Reasoning
by: Hoveyda, Mohanna, et al.
Published: (2026)
by: Hoveyda, Mohanna, et al.
Published: (2026)
Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
by: Lee, Juhyeon, et al.
Published: (2025)
by: Lee, Juhyeon, et al.
Published: (2025)
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models Versus Fine-Tuned Vision Transformers in Image-Based Security Applications
by: Trad, Fouad, et al.
Published: (2024)
by: Trad, Fouad, et al.
Published: (2024)
RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems
by: Papadimitriou, Ioannis, et al.
Published: (2024)
by: Papadimitriou, Ioannis, et al.
Published: (2024)
When "Better" Prompts Hurt: Evaluation-Driven Iteration for LLM Applications
by: Commey, Daniel
Published: (2026)
by: Commey, Daniel
Published: (2026)
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG
by: Kermani, Arshia, et al.
Published: (2025)
by: Kermani, Arshia, et al.
Published: (2025)
HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches
by: Tan, Jiejun, et al.
Published: (2025)
by: Tan, Jiejun, et al.
Published: (2025)
Analytical Search
by: Tu, Yiteng, et al.
Published: (2026)
by: Tu, Yiteng, et al.
Published: (2026)
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
by: Xu, Ziyang, et al.
Published: (2024)
by: Xu, Ziyang, et al.
Published: (2024)
Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries
by: Nigam, Shubham Kumar, et al.
Published: (2025)
by: Nigam, Shubham Kumar, et al.
Published: (2025)
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
OASES: Outcome-Aligned Search-Evaluation Co-Training for Agentic Search
by: Zhang, Erhan, et al.
Published: (2026)
by: Zhang, Erhan, et al.
Published: (2026)
SD-Search: On-Policy Hindsight Self-Distillation for Search-Augmented Reasoning
by: Ma, Yufei, et al.
Published: (2026)
by: Ma, Yufei, et al.
Published: (2026)
DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
Search-o1: Agentic Search-Enhanced Large Reasoning Models
by: Li, Xiaoxi, et al.
Published: (2025)
by: Li, Xiaoxi, et al.
Published: (2025)
IG-Search: Step-Level Information Gain Rewards for Search-Augmented Reasoning
by: Liang, Zihan, et al.
Published: (2026)
by: Liang, Zihan, et al.
Published: (2026)
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
by: Kalra, Jushaan Singh, et al.
Published: (2025)
by: Kalra, Jushaan Singh, et al.
Published: (2025)
Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
by: Park, Sangwoo, et al.
Published: (2025)
by: Park, Sangwoo, et al.
Published: (2025)
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
by: Jin, Bowen, et al.
Published: (2025)
by: Jin, Bowen, et al.
Published: (2025)
CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models
by: Gong, Peiyuan, et al.
Published: (2024)
by: Gong, Peiyuan, et al.
Published: (2024)
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning
by: Liang, Zihan, et al.
Published: (2026)
by: Liang, Zihan, et al.
Published: (2026)
Benchmarking Prompt Sensitivity in Large Language Models
by: Razavi, Amirhossein, et al.
Published: (2025)
by: Razavi, Amirhossein, et al.
Published: (2025)
Towards AI Search Paradigm
by: Li, Yuchen, et al.
Published: (2025)
by: Li, Yuchen, et al.
Published: (2025)
OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework
by: Chen, Ben, et al.
Published: (2026)
by: Chen, Ben, et al.
Published: (2026)
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
by: Wang, Ziliang, et al.
Published: (2025)
by: Wang, Ziliang, et al.
Published: (2025)
CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
by: Zeng, Hansi, et al.
Published: (2026)
by: Zeng, Hansi, et al.
Published: (2026)
Evaluating Chain-of-Thought Reasoning through Reusability and Verifiability
by: Aggarwal, Shashank, et al.
Published: (2026)
by: Aggarwal, Shashank, et al.
Published: (2026)
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
by: Zhao, Shu, et al.
Published: (2025)
by: Zhao, Shu, et al.
Published: (2025)
Model-Document Protocol for AI Search
by: Qian, Hongjin, et al.
Published: (2025)
by: Qian, Hongjin, et al.
Published: (2025)
PSCon: Product Search Through Conversations
by: Zou, Jie, et al.
Published: (2025)
by: Zou, Jie, et al.
Published: (2025)
Deep Research: A Systematic Survey
by: Shi, Zhengliang, et al.
Published: (2025)
by: Shi, Zhengliang, et al.
Published: (2025)
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO
by: Li, Ran, et al.
Published: (2025)
by: Li, Ran, et al.
Published: (2025)
RAVine: Reality-Aligned Evaluation for Agentic Search
by: Xu, Yilong, et al.
Published: (2025)
by: Xu, Yilong, et al.
Published: (2025)
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models
by: AlMahri, Sara, et al.
Published: (2024)
by: AlMahri, Sara, et al.
Published: (2024)
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
by: Lyu, Hanjia, et al.
Published: (2023)
by: Lyu, Hanjia, et al.
Published: (2023)
UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
by: Wilder, Joe, et al.
Published: (2025)
by: Wilder, Joe, et al.
Published: (2025)
Similar Items
-
Streamlining Systematic Reviews: A Novel Application of Large Language Models
by: Trad, Fouad, et al.
Published: (2024) -
To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models
by: Trad, Fouad, et al.
Published: (2024) -
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025) -
Large Multimodal Agents for Accurate Phishing Detection with Enhanced Token Optimization and Cost Reduction
by: Trad, Fouad, et al.
Published: (2024) -
Tutorial on Reasoning for IR & IR for Reasoning
by: Hoveyda, Mohanna, et al.
Published: (2026)