VeriTrail: Closed-Domain Hallucination Detection with Traceability
Fuente:
arXiv
Saved in:
| Main Authors: | Metropolitansky, Dasha, Larson, Jonathan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Effective Extraction and Evaluation of Factual Claims
by: Metropolitansky, Dasha, et al.
Published: (2025)
by: Metropolitansky, Dasha, et al.
Published: (2025)
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
by: Edge, Darren, et al.
Published: (2024)
by: Edge, Darren, et al.
Published: (2024)
Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)
by: Luo, Junliang, et al.
Published: (2024)
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
by: Yu, Fangyi, et al.
Published: (2025)
by: Yu, Fangyi, et al.
Published: (2025)
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
by: Emery, Deanna, et al.
Published: (2025)
by: Emery, Deanna, et al.
Published: (2025)
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
by: Chae, Kyubyung, et al.
Published: (2024)
by: Chae, Kyubyung, et al.
Published: (2024)
Hallucination Detection with Small Language Models
by: Cheung, Ming
Published: (2025)
by: Cheung, Ming
Published: (2025)
Hallucination Detection with the Internal Layers of LLMs
by: Preiß, Martin
Published: (2025)
by: Preiß, Martin
Published: (2025)
Towards Long Context Hallucination Detection
by: Liu, Siyi, et al.
Published: (2025)
by: Liu, Siyi, et al.
Published: (2025)
LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
EH-Benchmark Ophthalmic Hallucination Benchmark and Agent-Driven Top-Down Traceable Reasoning Workflow
by: Pan, Xiaoyu, et al.
Published: (2025)
by: Pan, Xiaoyu, et al.
Published: (2025)
LettuceDetect: A Hallucination Detection Framework for RAG Applications
by: Kovács, Ádám, et al.
Published: (2025)
by: Kovács, Ádám, et al.
Published: (2025)
Enhancing Hallucination Detection via Future Context
by: Lee, Joosung, et al.
Published: (2025)
by: Lee, Joosung, et al.
Published: (2025)
Unsupervised Hallucination Detection by Inspecting Reasoning Processes
by: Srey, Ponhvoan, et al.
Published: (2025)
by: Srey, Ponhvoan, et al.
Published: (2025)
FaithLens: Detecting and Explaining Faithfulness Hallucination
by: Si, Shuzheng, et al.
Published: (2025)
by: Si, Shuzheng, et al.
Published: (2025)
Comparing Hallucination Detection Metrics for Multilingual Generation
by: Kang, Haoqiang, et al.
Published: (2024)
by: Kang, Haoqiang, et al.
Published: (2024)
On Early Detection of Hallucinations in Factual Question Answering
by: Snyder, Ben, et al.
Published: (2023)
by: Snyder, Ben, et al.
Published: (2023)
Sanity Checks for Long-Form Hallucination Detection
by: Zollicoffer, Geigh, et al.
Published: (2026)
by: Zollicoffer, Geigh, et al.
Published: (2026)
Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs
by: Vaddi, Snehit, et al.
Published: (2026)
by: Vaddi, Snehit, et al.
Published: (2026)
From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
by: Liu, Litian, et al.
Published: (2026)
by: Liu, Litian, et al.
Published: (2026)
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
by: Chen, Kedi, et al.
Published: (2025)
by: Chen, Kedi, et al.
Published: (2025)
SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
by: Bazarova, Alexandra, et al.
Published: (2025)
by: Bazarova, Alexandra, et al.
Published: (2025)
HARP: Hallucination Detection via Reasoning Subspace Projection
by: Hu, Junjie, et al.
Published: (2025)
by: Hu, Junjie, et al.
Published: (2025)
Hallucination Detection-Guided Preference Optimization for Clinical Summarization
by: Seethakantha, Shamanth Kuthpadi, et al.
Published: (2026)
by: Seethakantha, Shamanth Kuthpadi, et al.
Published: (2026)
Hallucination-Resistant, Domain-Specific Research Assistant with Self-Evaluation and Vector-Grounded Retrieval
by: Bhavsar, Vivek, et al.
Published: (2025)
by: Bhavsar, Vivek, et al.
Published: (2025)
Turk-LettuceDetect: A Hallucination Detection Models for Turkish RAG Applications
by: Taş, Selva, et al.
Published: (2025)
by: Taş, Selva, et al.
Published: (2025)
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
by: Gogoulou, Evangelia, et al.
Published: (2025)
by: Gogoulou, Evangelia, et al.
Published: (2025)
Ask a Local: Detecting Hallucinations With Specialized Model Divergence
by: Creo, Aldan, et al.
Published: (2025)
by: Creo, Aldan, et al.
Published: (2025)
Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK
by: Garcia-Fernandez, Carlos, et al.
Published: (2025)
by: Garcia-Fernandez, Carlos, et al.
Published: (2025)
Graphing the Truth: Structured Visualizations for Automated Hallucination Detection in LLMs
by: Agrawal, Tanmay
Published: (2025)
by: Agrawal, Tanmay
Published: (2025)
Decoding Memories: An Efficient Pipeline for Self-Consistency Hallucination Detection
by: Gao, Weizhi, et al.
Published: (2025)
by: Gao, Weizhi, et al.
Published: (2025)
Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection
by: Pandit, Shrey, et al.
Published: (2025)
by: Pandit, Shrey, et al.
Published: (2025)
Neural Probe-Based Hallucination Detection for Large Language Models
by: Liang, Shize, et al.
Published: (2025)
by: Liang, Shize, et al.
Published: (2025)
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
by: Feng, Yijun
Published: (2025)
by: Feng, Yijun
Published: (2025)
Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
by: Suresh, Malavika, et al.
Published: (2025)
by: Suresh, Malavika, et al.
Published: (2025)
TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
by: Lu, Pengqian, et al.
Published: (2025)
by: Lu, Pengqian, et al.
Published: (2025)
HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification
by: Paudel, Bibek, et al.
Published: (2025)
by: Paudel, Bibek, et al.
Published: (2025)
The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods
by: Gautam, Arpit Singh, et al.
Published: (2026)
by: Gautam, Arpit Singh, et al.
Published: (2026)
The First Token Knows: Single-Decode Confidence for Hallucination Detection
by: Gabriel, Mina
Published: (2026)
by: Gabriel, Mina
Published: (2026)
Similar Items
-
Towards Effective Extraction and Evaluation of Factual Claims
by: Metropolitansky, Dasha, et al.
Published: (2025) -
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
by: Edge, Darren, et al.
Published: (2024) -
Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024) -
Beyond Pointwise Scores: Decomposed Criteria-Based Evaluation of LLM Responses
by: Yu, Fangyi, et al.
Published: (2025) -
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
by: Emery, Deanna, et al.
Published: (2025)