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Hallucination

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Showing 1201–1250 of 1816 papers

TitleStatusHype
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way—0
Calibrated Language Models Must Hallucinate—0
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model—0
Calm-Whisper: Reduce Whisper Hallucination On Non-Speech By Calming Crazy Heads Down—0
Can a Hallucinating Model help in Reducing Human "Hallucination"?—0
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models—0
Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning—0
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?—0
Can Open-source LLMs Enhance Data Synthesis for Toxic Detection?: An Experimental Study—0
Can Structured Data Reduce Epistemic Uncertainty?—0
Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation—0
Can Your Uncertainty Scores Detect Hallucinated Entity?—0
Capturing AI's Attention: Physics of Repetition, Hallucination, Bias and Beyond—0
CARBD-Ko: A Contextually Annotated Review Benchmark Dataset for Aspect-Level Sentiment Classification in Korean—0
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System—0
Make VLM Recognize Visual Hallucination on Cartoon Character Image with Pose Information—0
CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs—0
CBSiMT: Mitigating Hallucination in Simultaneous Machine Translation with Weighted Prefix-to-Prefix Training—0
A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting—0
CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation—0
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy—0
CerfGAN: A Compact, Effective, Robust, and Fast Model for Unsupervised Multi-Domain Image-to-Image Translation—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models—0
Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation—0
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems—0
ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework—0
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them—0
Challenges of Large Language Models for Mental Health Counseling—0
Chaos with Keywords: Exposing Large Language Models Sycophantic Hallucination to Misleading Keywords and Evaluating Defense Strategies—0
CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems—0
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues—0
ChatGPT (Feb 13 Version) is a Chinese Room—0
chatClimate: Grounding Conversational AI in Climate Science—0
ChEF: A Comprehensive Evaluation Framework for Standardized Assessment of Multimodal Large Language Models—0
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model—0
CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning—0
Classification-Based Automatic HDL Code Generation Using LLMs—0
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection—0
CleAR: Robust Context-Guided Generative Lighting Estimation for Mobile Augmented Reality—0
CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering—0
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs—0
CLUE: Concept-Level Uncertainty Estimation for Large Language Models—0
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models—0
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models—0
Code Hallucination—0
CodeMirage: Hallucinations in Code Generated by Large Language Models—0
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