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Hallucination

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Showing 1001–1050 of 1816 papers

TitleStatusHype
The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)Code1
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models—0
Automated Multi-level Preference for MLLMsCode1
Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model—0
Enhancing Semantics in Multimodal Chain of Thought via Soft Negative SamplingCode1
Spurious reconstruction from brain activityCode0
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models—0
Word Alignment as Preference for Machine Translation—0
Navigating LLM Ethics: Advancements, Challenges, and Future Directions—0
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation—0
Control Token with Dense Passage Retrieval—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval—0
LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought—0
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language ModelsCode1
Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering—0
SUTRA: Scalable Multilingual Language Model Architecture—0
Sora Detector: A Unified Hallucination Detection for Large Text-to-Video ModelsCode0
Deception in Reinforced Autonomous Agents—0
Quantifying the Capabilities of LLMs across Scale and Precision—0
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
Attribution in Scientific Literature: New Benchmark and Methods—0
FLAME: Factuality-Aware Alignment for Large Language Models—0
Can a Hallucinating Model help in Reducing Human "Hallucination"?—0
Addressing Topic Granularity and Hallucination in Large Language Models for Topic ModellingCode0
What Makes for Good Image Captions?—0
CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based VerificationCode1
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
Harmonic LLMs are Trustworthy—0
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation—0
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology—0
Hallucination of Multimodal Large Language Models: A SurveyCode4
MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot—0
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?—0
Retrieval Head Mechanistically Explains Long-Context FactualityCode3
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning—0
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction—0
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models—0
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question AnsweringCode2
Integrating Chemistry Knowledge in Large Language Models via Prompt EngineeringCode0
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language ModelsCode1
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI FeedbackCode1
Single-sample image-fusion upsampling of fluorescence lifetime images—0
TextSquare: Scaling up Text-Centric Visual Instruction Tuning—0
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