On Faithfulness and Factuality in Abstractive Summarization | Paper Citation Record

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GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model On Faithfulness and Factuality in Abstractive Summarization

Reference 61

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Discovering Latent Knowledge in Language Models Without Supervision cites this paper.

Discovering Latent Knowledge in Language Models Without Supervision On Faithfulness and Factuality in Abstractive Summarization

Reference 20

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Let's Verify Step by Step cites this paper.

Let's Verify Step by Step On Faithfulness and Factuality in Abstractive Summarization

Reference 11

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

Chain-of-Verification Reduces Hallucination in Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 126

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Gemini: A Family of Highly Capable Multimodal Models cites this paper.

Gemini: A Family of Highly Capable Multimodal Models On Faithfulness and Factuality in Abstractive Summarization

Reference 61

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Coverage-based Fairness in Multi-document Summarization cites this paper.

Coverage-based Fairness in Multi-document Summarization On Faithfulness and Factuality in Abstractive Summarization

Reference 2023

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Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search cites this paper.

Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search On Faithfulness and Factuality in Abstractive Summarization

Reference 24

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OpenAI o1 System Card cites this paper.

OpenAI o1 System Card On Faithfulness and Factuality in Abstractive Summarization

Reference 4

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Observation cb63d216-3dc5-4df5-834a-4b1bcf3b22f9 · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey On Faithfulness and Factuality in Abstractive Summarization

Reference 292

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Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs cites this paper.

Automated Retrosynthesis Planning of Macromolecules Using Large Language Models and Knowledge Graphs On Faithfulness and Factuality in Abstractive Summarization

Reference 25

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Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences cites this paper.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences On Faithfulness and Factuality in Abstractive Summarization

Reference 49

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Purposefully Induced Psychosis (PIP): Embracing Hallucination as Imagination in Large Language Models cites this paper.

Purposefully Induced Psychosis (PIP): Embracing Hallucination as Imagination in Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 12

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AI Idea Bench 2025: AI Research Idea Generation Benchmark cites this paper.

AI Idea Bench 2025: AI Research Idea Generation Benchmark On Faithfulness and Factuality in Abstractive Summarization

Reference 47

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ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations cites this paper.

ResNetVLLM-2: Addressing ResNetVLLM's Multi-Modal Hallucinations On Faithfulness and Factuality in Abstractive Summarization

Reference 1

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Random-Set Large Language Models cites this paper.

Random-Set Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 55

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Generative to Agentic AI: Survey, Conceptualization, and Challenges cites this paper.

Generative to Agentic AI: Survey, Conceptualization, and Challenges On Faithfulness and Factuality in Abstractive Summarization

Reference 90

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Towards Long Context Hallucination Detection cites this paper.

Towards Long Context Hallucination Detection On Faithfulness and Factuality in Abstractive Summarization

Reference 18

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Multi-agents based User Values Mining for Recommendation cites this paper.

Multi-agents based User Values Mining for Recommendation On Faithfulness and Factuality in Abstractive Summarization

Reference 32

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Interpretable Zero-shot Learning with Infinite Class Concepts cites this paper.

Interpretable Zero-shot Learning with Infinite Class Concepts On Faithfulness and Factuality in Abstractive Summarization

Reference 17

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Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' On Faithfulness and Factuality in Abstractive Summarization

Reference 159

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A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence On Faithfulness and Factuality in Abstractive Summarization

Reference 239

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EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models cites this paper.

EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 55

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LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry On Faithfulness and Factuality in Abstractive Summarization

Reference 53

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Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis cites this paper.

Rethinking Chunk Size For Long-Document Retrieval: A Multi-Dataset Analysis On Faithfulness and Factuality in Abstractive Summarization

Reference 21

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Observation b6a4df57-23d7-4503-a82c-85f84d41af05 · inbound

Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization cites this paper.

Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization On Faithfulness and Factuality in Abstractive Summarization

Reference 21

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When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs cites this paper.

When Meaning Stays the Same, but Models Drift: Evaluating Quality of Service under Token-Level Behavioral Instability in LLMs On Faithfulness and Factuality in Abstractive Summarization

Reference 13

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Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 9

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LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review cites this paper.

LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review On Faithfulness and Factuality in Abstractive Summarization

Reference 24

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Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning cites this paper.

Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning On Faithfulness and Factuality in Abstractive Summarization

Reference 35

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A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations cites this paper.

A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations On Faithfulness and Factuality in Abstractive Summarization

Reference 20

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A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 64

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CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI cites this paper.

CUTE-MRI: Conformalized Uncertainty-based framework for Time-adaptivE MRI On Faithfulness and Factuality in Abstractive Summarization

Reference 12

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Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method cites this paper.

Retrieval Feedback Memory Enhancement Large Model Retrieval Generation Method On Faithfulness and Factuality in Abstractive Summarization

Reference 20

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Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA cites this paper.

Investigating Symbolic Triggers of Hallucination in Gemma Models Across HaluEval and TruthfulQA On Faithfulness and Factuality in Abstractive Summarization

Reference 5

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Observation b5aab317-b1cd-4528-81ac-cf4ba00ad9ad · inbound

HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling cites this paper.

HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling On Faithfulness and Factuality in Abstractive Summarization

Reference 2001

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Domain-Shift-Aware Conformal Prediction for Large Language Models cites this paper.

Domain-Shift-Aware Conformal Prediction for Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 18

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Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective cites this paper.

Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective On Faithfulness and Factuality in Abstractive Summarization

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:55:33.432339Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation cites this paper.

Mitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation On Faithfulness and Factuality in Abstractive Summarization

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When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications cites this paper.

When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications On Faithfulness and Factuality in Abstractive Summarization

Reference 15

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CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching cites this paper.

CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching On Faithfulness and Factuality in Abstractive Summarization

Reference 2020

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Observation ce7b990b-2c42-4a00-a3bd-0b277a177d32 · inbound

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding cites this paper.

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding On Faithfulness and Factuality in Abstractive Summarization

Reference 30

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Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation cites this paper.

Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation On Faithfulness and Factuality in Abstractive Summarization

Reference 14

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Observation c19727b3-b5af-405f-a08f-9759eba6f35b · inbound

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation cites this paper.

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation On Faithfulness and Factuality in Abstractive Summarization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:08:27.183243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 10ebd822-bea2-4c94-ab04-bf8d12fbd36c · inbound

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives cites this paper.

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives On Faithfulness and Factuality in Abstractive Summarization

Reference 146

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T01:04:50.244938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14dafd0d-a4a4-4503-b2de-a1888f573b5d · inbound

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent cites this paper.

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent On Faithfulness and Factuality in Abstractive Summarization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:56:24.853233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7d7e6ee-4c17-4d0a-a3b1-9f4cb601eb24 · inbound

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study cites this paper.

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study On Faithfulness and Factuality in Abstractive Summarization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:37:45.356940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9bc0738-2bc1-4bad-bc0a-3fdbc8455168 · inbound

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study cites this paper.

How do Humans Process AI-generated Hallucination Contents: a Neuroimaging Study On Faithfulness and Factuality in Abstractive Summarization

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.611795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 933dde81-a475-48aa-abee-4abbb1945066 · inbound

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models cites this paper.

Entropy Distribution as a Fingerprint for Hallucinations in Generative Models On Faithfulness and Factuality in Abstractive Summarization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.652252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 816c150d-50c2-4b68-97ac-165e2b522543 · inbound

Honest Lying: Understanding Memory Confabulation in Reflexive Agents cites this paper.

Honest Lying: Understanding Memory Confabulation in Reflexive Agents On Faithfulness and Factuality in Abstractive Summarization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:23:16.523804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dbd97085-5cb7-4d6e-b700-659846df9e0a · inbound

Cross Paraphrastic Invariance Learning for Hallucination Detection cites this paper.

Cross Paraphrastic Invariance Learning for Hallucination Detection On Faithfulness and Factuality in Abstractive Summarization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.775098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 474ddfc2-3c3d-4d9c-be71-708e37e83fb1 · inbound

Constrained Paraphrase Consistency for LLM Hallucination Detection cites this paper.

Constrained Paraphrase Consistency for LLM Hallucination Detection On Faithfulness and Factuality in Abstractive Summarization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:07:23.826844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bc28ce74-a13b-4f81-a11c-c4573cc9b6b6 · inbound

Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization cites this paper.

Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization On Faithfulness and Factuality in Abstractive Summarization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:08:32.744194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e755a4c-2041-433b-87f3-f6ac843b201d · inbound

A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization cites this paper.

A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization On Faithfulness and Factuality in Abstractive Summarization

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:09:19.093539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cd93a7b8-47b3-47f7-9ca3-8bb23e3be0d5 · inbound

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement cites this paper.

PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement On Faithfulness and Factuality in Abstractive Summarization

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:59:43.480276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03131453-7165-4377-ae88-122092c6eaa5 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation On Faithfulness and Factuality in Abstractive Summarization

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:11.189461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9efec90a-d241-4b79-9503-7cc25daf8980 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation On Faithfulness and Factuality in Abstractive Summarization

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:43.182512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76f7056c-b402-404d-bbe4-a4b2b5c42619 · inbound

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction cites this paper.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction On Faithfulness and Factuality in Abstractive Summarization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:08.359633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cddd937c-79c2-42b8-9972-58a212916411 · inbound

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction cites this paper.

MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction On Faithfulness and Factuality in Abstractive Summarization

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:51.166559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d90657ff-8535-459f-ab97-d2a097e2e22d · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization On Faithfulness and Factuality in Abstractive Summarization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-26T01:28:50.541924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97c4a08f-c3e6-42ea-aa64-c7d11bd5bd32 · inbound

Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation cites this paper.

Deceptive Grounding: Entity Attribution Failure in Clinical Retrieval-Augmented Generation On Faithfulness and Factuality in Abstractive Summarization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T03:42:52.628930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ad785b-1017-4b38-93ad-722d347fdf92 · inbound

Hallucination Detection in Large Language Models Using Diversion Decoding cites this paper.

Hallucination Detection in Large Language Models Using Diversion Decoding On Faithfulness and Factuality in Abstractive Summarization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T11:26:23.545785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be00b2d-4519-47e7-a00d-9fa3a7f33e45 · inbound

Decomposed Entailment for Factuality Checking and Hallucination Detection cites this paper.

Decomposed Entailment for Factuality Checking and Hallucination Detection On Faithfulness and Factuality in Abstractive Summarization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T22:53:05.125431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 589de05a-fa10-40e3-909c-42dec4b8a3c4 · inbound

Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary Proceedings cites this paper.

Who Speaks Matters: Authority-Aware Multi-View RAG over Italian Parliamentary Proceedings On Faithfulness and Factuality in Abstractive Summarization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T11:38:46.161573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers