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Hallucination

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Showing 801–825 of 1816 papers

TitleStatusHype
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs—0
ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature—0
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy—0
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them—0
GPT as a Monte Carlo Language Tree: A Probabilistic Perspective—0
MedCT: A Clinical Terminology Graph for Generative AI Applications in Healthcare—0
Fine-tuning Large Language Models for Improving Factuality in Legal Question AnsweringCode0
Hermit Kingdom Through the Lens of Multiple Perspectives: A Case Study of LLM Hallucination on North Korea—0
Seeing with Partial Certainty: Conformal Prediction for Robotic Scene Recognition in Built Environments—0
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision—0
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance—0
EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models—0
Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the WildCode0
Foundations of GenIR—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
CHAIR -- Classifier of Hallucination as ImproverCode0
LLMs & Legal Aid: Understanding Legal Needs Exhibited Through User Queries—0
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System—0
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking—0
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion—0
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection—0
RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackCode0
IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models—0
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation—0
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models—0
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