LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification | Paper Citation Record

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This paper cites Towards improved cyber security information sharing,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Towards improved cyber security information sharing,

Reference 1

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This paper cites Stiocs: Active learning-based semi-supervised training framework for ioc extraction,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Stiocs: Active learning-based semi-supervised training framework for ioc extraction,

Reference 2

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This paper cites Tweetcred: Real- time credibility assessment of content on twitter,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Tweetcred: Real- time credibility assessment of content on twitter,

Reference 3

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This paper cites Sentence-level evidence embedding for claim verification with hierarchical attention networks.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Sentence-level evidence embedding for claim verification with hierarchical attention networks

Reference 4

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This paper cites DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning

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This paper cites Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection

Reference 6

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This paper cites Evidence-aware fake news detection with graph neural networks,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Evidence-aware fake news detection with graph neural networks,

Reference 7

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This paper cites Muser: A multi-step evidence retrieval enhancement framework for fake news detection,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Muser: A multi-step evidence retrieval enhancement framework for fake news detection,

Reference 8

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This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 9

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This paper cites Wikicoref: An english coreference- annotated corpus of wikipedia articles,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Wikicoref: An english coreference- annotated corpus of wikipedia articles,

Reference 10

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This paper cites A survey on technical threat intelligence in the age of sophisticated cyber attacks,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification A survey on technical threat intelligence in the age of sophisticated cyber attacks,

Reference 11

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This paper cites ‘towards a methodology for evaluating threat intelligence feeds,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification ‘towards a methodology for evaluating threat intelligence feeds,

Reference 12

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This paper cites Pure: Generating quality threat intelligence by clustering and correlating osint,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Pure: Generating quality threat intelligence by clustering and correlating osint,

Reference 13

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This paper cites A multi-source threat intelligence confidence value evaluation method based on machine learning,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification A multi-source threat intelligence confidence value evaluation method based on machine learning,

Reference 14

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This paper cites Sharing machine learning models as indicators of compromise for cyber threat intelligence,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Sharing machine learning models as indicators of compromise for cyber threat intelligence,

Reference 15

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This paper cites Security threat model under internet of things using deep learning and edge analysis of cyberspace governance,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Security threat model under internet of things using deep learning and edge analysis of cyberspace governance,

Reference 16

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This paper cites Scoring model for iocs by combining open intelligence feeds to reduce false positives,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Scoring model for iocs by combining open intelligence feeds to reduce false positives,

Reference 17

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This paper cites Large language models struggle to learn long-tail knowledge,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Large language models struggle to learn long-tail knowledge,

Reference 18

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Prompt-and-align: prompt-based social alignment for few-shot fake news detection,

Reference 19

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This paper cites Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Active Retrieval Augmented Generation

Reference 21

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 22

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This paper cites Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers

Reference 23

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Chain-of-thought prompting elicits reasoning in large language models,

Reference 24

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This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification ReAct: Synergizing Reasoning and Acting in Language Models

Reference 25

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Tree of thoughts: Deliberate problem solving with large language models,

Reference 26

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification In-context retrieval-augmented language models,

Reference 27

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Improving language models by retrieving from trillions of tokens,

Reference 28

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Webglm: Towards an efficient web-enhanced question answering system with human preferences,

Reference 29

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Pegasus: Pre-training with extracted gap-sentences for abstractive summarization,

Reference 30

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Improving language understanding by generative pre-training,

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Exploring the limits of transfer learning with a unified text-to-text transformer,

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Dense Passage Retrieval for Open-Domain Question Answering

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification One Embedder, Any Task: Instruction-Finetuned Text Embeddings

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Palm: Scaling language modeling with pathways,

Reference 36

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Adversarial Retriever-Ranker for dense text retrieval

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Self-Consistency Improves Chain of Thought Reasoning in Language Models

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

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This paper cites Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media,

Reference 40

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This paper cites KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment

Reference 41

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This paper cites Evidence-aware hierarchical interactive attention networks for explainable claim verifi- cation,.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Evidence-aware hierarchical interactive attention networks for explainable claim verifi- cation,

Reference 42

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Chatgpt-3.5 turbo,

Reference 43

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 44

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This paper cites Fact-Checking Complex Claims with Program-Guided Reasoning.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 45

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LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification These sentences should form a set \( R \)

Reference 46

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This paper cites {Insert CTI content here}.

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification {Insert CTI content here}

Reference 47

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