FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios | Paper Citation Record

Observation b9f9cd1d-e69e-42ac-9b6c-6b559fda4648 · inbound

Chain-of-Verification Reduces Hallucination in Large Language Models cites this paper.

Chain-of-Verification Reduces Hallucination in Large Language Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 106

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Observation b3bbef40-b963-45d5-a7bd-b14044d6c757 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.479087Z

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Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 100

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Observation 0fe2fede-d354-462c-8ea5-1aa7c7bb9baf · inbound

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 11

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Observation 8db59069-1df3-450e-b2d4-c0f3f1a04f5a · inbound

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models cites this paper.

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 6

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AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement cites this paper.

AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 9

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GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection cites this paper.

GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 9

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Observation d1ed6d68-158d-4a9c-91df-2f44eeda8773 · inbound

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs cites this paper.

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 7

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Observation a1cf0612-2665-4ae4-94c9-6bf56cb9ecd5 · inbound

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking cites this paper.

Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 44

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Observation e47fed5d-dc33-49d5-842f-4fe800613008 · inbound

KVDirect: Distributed Disaggregated LLM Inference cites this paper.

KVDirect: Distributed Disaggregated LLM Inference FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 6

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Observation 08ea832c-22e7-40c8-93ca-85bf46c86174 · inbound

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models cites this paper.

Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T05:37:07.824917Z

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Observation 9b68751f-3ac2-45ac-9d3e-0800a06113d9 · inbound

LIMO: Less is More for Reasoning cites this paper.

LIMO: Less is More for Reasoning FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:11:37.286549Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9be3214b-e66e-4a83-b4ed-f762c8233b1c · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 73

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Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 7

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Observation 2a6c611c-e80c-476e-9916-ffc468b170fa · inbound

EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions cites this paper.

EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 2

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Observation 984a79e0-4797-4782-8bbb-500e216835c6 · inbound

Reconsidering LLM Uncertainty Estimation Methods in the Wild cites this paper.

Reconsidering LLM Uncertainty Estimation Methods in the Wild FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 11

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Observation f63e10c8-65af-448b-91b2-f936d0ba813d · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 68

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Observation 79bb4704-0cca-43e2-aeec-80081e9f1c4b · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 161

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Observation 9effccd2-fcf4-47a0-b456-8353b6438c20 · inbound

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 10

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Observation f8b072b4-8ab4-460a-accc-384ce1c871bc · inbound

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval cites this paper.

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 11

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Observation 08b72d0f-d0c3-472d-980c-7ec1f22c16bb · inbound

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs cites this paper.

TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:55.969041Z

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Observation a83b30cc-862a-45ad-ab7f-12dd9e56c721 · inbound

Principled Detection of Hallucinations in Large Language Models via Multiple Testing cites this paper.

Principled Detection of Hallucinations in Large Language Models via Multiple Testing FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T20:46:51.658091Z

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Observation fb4b2ee5-a6f5-48ec-bebf-512d2b571685 · inbound

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination cites this paper.

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 13

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FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain cites this paper.

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T11:49:34.496837Z

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Observation 405baf05-7e79-46e1-9206-f5301a62db0d · inbound

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection cites this paper.

Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 4

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Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable cites this paper.

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 72

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AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions cites this paper.

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 54

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Observation a609c167-4b97-4e2e-bf68-80c98e1a4890 · inbound

Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation cites this paper.

Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 1

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Observation 2650af71-771f-4fe0-9e2c-ce1bddf236f1 · inbound

100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models cites this paper.

100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:29:53.990154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c415d89-95b9-45d2-99c2-f9fe1be0d4c3 · inbound

BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation cites this paper.

BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:18:06.329290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 96026ded-13ab-4461-aaa6-053370bdf062 · inbound

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking cites this paper.

Uncertainty-Aware Web-Conditioned Scientific Fact-Checking FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:56:03.222156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b5a25bf-4c8b-446a-88b8-590d76e08065 · inbound

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents cites this paper.

HalluClear: Diagnosing, Evaluating and Mitigating Hallucinations in GUI Agents FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 50

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Observation 1e55dfba-7756-4b7b-b7f4-828520af2643 · inbound

Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis cites this paper.

Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d9252d0-174a-465c-b38d-800227b8fe60 · inbound

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:08:58.064691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43d91838-68e6-46ef-8885-29a35a8783d4 · inbound

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems cites this paper.

Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:52:40.012053Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 200ca364-669b-48b9-9b9c-7897ed8b4978 · inbound

Design and Report Benchmarks for Knowledge Work cites this paper.

Design and Report Benchmarks for Knowledge Work FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7dad0b3e-1056-4fa4-b51a-c999139cb0a4 · inbound

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing cites this paper.

MultiHaluDet: Multilingual Hallucination Detection via LLM Hidden State Probing FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 458a31bd-c6bb-43a4-ac4a-f98925354307 · inbound

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation cites this paper.

Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:37:22.683867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0b44b06-92f9-4666-8614-fbf6ba260697 · inbound

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs cites this paper.

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:27:25.374000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efa381fa-4992-4ce5-b877-086d6d6b2fe9 · inbound

Taxonomy of Risks on Automated Fact-Checking Systems Considering its Propagation cites this paper.

Taxonomy of Risks on Automated Fact-Checking Systems Considering its Propagation FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T20:10:08.095912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5dd6270a-37ea-40bb-9b8b-c0b195e0f88a · inbound

Symbolic Augmentation Closes a Canonical-Equivalence Blind Spot in Neural Fact-Checkers cites this paper.

Symbolic Augmentation Closes a Canonical-Equivalence Blind Spot in Neural Fact-Checkers FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 12

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Observation 034eb16b-b4f6-4721-8291-6abf196057ad · inbound

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems cites this paper.

Before Agents Speak: Pre-hoc Failure Risk Inference in Multi-Agent Systems FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-30T19:40:09.961178Z

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Observation 50a2fe24-2a3a-43d7-b97e-4cd1651ea685 · inbound

When the Judge Should Not Decide: Evidence-Locked, Non-Compensatory Selection Bounds LLM-Judge Failure in Reasoning Pipelines cites this paper.

When the Judge Should Not Decide: Evidence-Locked, Non-Compensatory Selection Bounds LLM-Judge Failure in Reasoning Pipelines FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T04:18:11.038075Z

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Pith citing papers