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Hallucination

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Showing 1576–1600 of 1816 papers

TitleStatusHype
Improving RNN-Transducers with Acoustic LookAhead—0
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models—0
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning—0
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification—0
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text—0
Incremental Scene Synthesis—0
Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things—0
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue—0
Ingest-And-Ground: Dispelling Hallucinations from Continually-Pretrained LLMs with RAG—0
Insights from Verification: Training a Verilog Generation LLM with Reinforcement Learning with Testbench Feedback—0
Insights into Classifying and Mitigating LLMs' Hallucinations—0
Instance-level Facial Attributes Transfer with Geometry-Aware Flow—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Interpretable Zero-shot Learning with Infinite Class Concepts—0
Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate—0
Invar-RAG: Invariant LLM-aligned Retrieval for Better Generation—0
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation—0
Investigating the Role of Prompting and External Tools in Hallucination Rates of Large Language Models—0
IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing—0
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection—0
Is Your Text-to-Image Model Robust to Caption Noise?—0
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
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