PRISM: Agentic Retrieval with LLMs for Multi-Hop Question Answering

arXiv:2510.14278 · cs.CL, cs.AI, cs.IR · Submitted 2025-10-16 · Read on arXiv

cs.CL, cs.AI, cs.IR

Submitted: 2025-10-16

Updated: 2026-08-27

Terminology

• Accuracy — 23× in this paper · explained in 1 episode
• Agentic Retrieval — 22× in this paper · explained in 1 episode
• Analyzer — 17× in this paper · explained in 1 episode
• Association for Computational Linguistics — 12× in this paper
• Benchmark — 11× in this paper · explained in 2 episodes
• RAG — 7× in this paper · explained in 3 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
• Multi-hop Reasoning — 4× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 3× in this paper
• Exact Match — 3× in this paper
• Hallucination — 3× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 3× in this paper
• Partial Match Accuracy — 3× in this paper
• Redundancy — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Agentic Loop — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• RAG (Retrieval-Augmented Generation) — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• DeepSeek-V3 Technical Report
• GPT-4o System Card
• Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
• RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• On the Theoretical Limitations of Embedding-Based Retrieval
• C-Pack: Packed Resources For General Chinese Embeddings

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