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Hallucination

Papers

Showing 125 of 1816 papers

TitleStatusHype
Mitigating Object Hallucinations via Sentence-Level Early InterventionCode1
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way0
UQLM: A Python Package for Uncertainty Quantification in Large Language ModelsCode5
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding0
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning0
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems0
GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language ModelsCode0
HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation0
Mitigating Hallucination of Large Vision-Language Models via Dynamic Logits CalibrationCode0
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models0
Feature Hallucination for Self-supervised Action Recognition0
KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityCode1
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph RefinementCode2
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models0
Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation0
Abstract Meaning Representation for Hospital Discharge SummarizationCode0
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM0
Stress-Testing Multimodal Foundation Models for Crystallographic ReasoningCode0
DREAM: On hallucinations in AI-generated content for nuclear medicine imaging0
A Regret Perspective on Online Selective Generation0
VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training0
HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs0
Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems0
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion ModelsCode1
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
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