| MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models | Oct 16, 2024 | DiagnosticHallucination | CodeCode Available | 3 |
| On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation | Oct 16, 2024 | HallucinationNatural Language Inference | —Unverified | 0 |
| When Not to Answer: Evaluating Prompts on GPT Models for Effective Abstention in Unanswerable Math Word Problems | Oct 16, 2024 | HallucinationMath | —Unverified | 0 |
| Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning | Oct 16, 2024 | Contrastive Learninggraph construction | —Unverified | 0 |
| Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models | Oct 16, 2024 | HallucinationKnowledge Graphs | CodeCode Available | 3 |
| What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs | Oct 16, 2024 | Drug DiscoveryGraph Generation | —Unverified | 0 |
| Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection | Oct 16, 2024 | HallucinationIn-Context Learning | —Unverified | 0 |
| A Claim Decomposition Benchmark for Long-form Answer Verification | Oct 16, 2024 | FormHallucination | CodeCode Available | 0 |
| The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio | Oct 16, 2024 | Hallucination | CodeCode Available | 3 |
| Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses | Oct 15, 2024 | HallucinationLanguage Modeling | CodeCode Available | 1 |
