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Hallucination
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Towards Functional Correctness of Code Models with Selective Generation
Mitigating Object Hallucinations via Sentence-Level Early Intervention
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way
UQLM: A Python Package for Uncertainty Quantification in Large Language Models
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models
Mitigating Hallucination of Large Vision-Language Models via Dynamic Logits Calibration
HalluSegBench: Counterfactual Visual Reasoning for Segmentation Hallucination Evaluation
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
Feature Hallucination for Self-supervised Action Recognition
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models
Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation
DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
Abstract Meaning Representation for Hospital Discharge Summarization
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning
VL-GenRM: Enhancing Vision-Language Verification via Vision Experts and Iterative Training
DREAM: On hallucinations in AI-generated content for nuclear medicine imaging
A Regret Perspective on Online Selective Generation
Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems
DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
HalLoc: Token-level Localization of Hallucinations for Vision Language Models
Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers
Revisit What You See: Disclose Language Prior in Vision Tokens for Efficient Guided Decoding of LVLMs
Attention Head Embeddings with Trainable Deep Kernels for Hallucination Detection in LLMs
Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
Text-Aware Image Restoration with Diffusion Models
ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
ARGUS: Hallucination and Omission Evaluation in Video-LLMs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.