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Hallucination

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Showing 451–475 of 1816 papers

TitleStatusHype
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding—0
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning—0
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems—0
GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language ModelsCode0
HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation—0
Mitigating Hallucination of Large Vision-Language Models via Dynamic Logits CalibrationCode0
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models—0
Feature Hallucination for Self-supervised Action Recognition—0
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models—0
Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation—0
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM—0
Abstract Meaning Representation for Hospital Discharge SummarizationCode0
DREAM: On hallucinations in AI-generated content for nuclear medicine imaging—0
Stress-Testing Multimodal Foundation Models for Crystallographic ReasoningCode0
HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs—0
VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training—0
A Regret Perspective on Online Selective Generation—0
Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems—0
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers—0
Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMsCode0
Text-Aware Image Restoration with Diffusion Models—0
Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs—0
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being—0
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive DecodingCode0
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