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Hallucination

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Showing 1101–1150 of 1816 papers

TitleStatusHype
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data—0
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG—0
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent—0
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges—0
AI Benchmarks and Datasets for LLM Evaluation—0
AI-Enhanced Ethical Hacking: A Linux-Focused Experiment—0
AI Hallucinations: A Misnomer Worth Clarifying—0
aiXamine: Simplified LLM Safety and Security—0
A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction—0
Aligner: Efficient Alignment by Learning to Correct—0
Aligning Attention Distribution to Information Flow for Hallucination Mitigation in Large Vision-Language Models—0
Aligning Large Multimodal Models with Factually Augmented RLHF—0
Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search—0
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation—0
ALOHa: A New Measure for Hallucination in Captioning Models—0
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles—0
A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models—0
A Memory-Augmented LLM-Driven Method for Autonomous Merging of 3D Printing Work Orders—0
AMSnet-KG: A Netlist Dataset for LLM-based AMS Circuit Auto-Design Using Knowledge Graph RAG—0
A Multimodal Multi-Agent Framework for Radiology Report Generation—0
A Multiple-Fill-in-the-Blank Exam Approach for Enhancing Zero-Resource Hallucination Detection in Large Language Models—0
An AI-powered Knowledge Hub for Potato Functional Genomics—0
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
Anatomy of Industrial Scale Multilingual ASR—0
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination—0
An End-to-End Depth-Based Pipeline for Selfie Image Rectification—0
An evaluation of template and ML-based generation of user-readable text from a knowledge graph—0
An Evolutionary Large Language Model for Hallucination Mitigation—0
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition—0
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery—0
Anticipation-free Training for Simultaneous Translation—0
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges—0
Applications of Large Language Model Reasoning in Feature Generation—0
Applying RLAIF for Code Generation with API-usage in Lightweight LLMs—0
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?—0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM—0
A Regret Perspective on Online Selective Generation—0
Are LLMs Good Literature Review Writers? Evaluating the Literature Review Writing Ability of Large Language Models—0
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?—0
Are Reasoning Models More Prone to Hallucination?—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
ARGUS: Hallucination and Omission Evaluation in Video-LLMs—0
ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature—0
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM—0
A Schema-Guided Reason-while-Retrieve framework for Reasoning on Scene Graphs with Large-Language-Models (LLMs)—0
A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation—0
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination—0
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation—0
Assessing the use of Diffusion models for motion artifact correction in brain MRI—0
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