SOTAVerified

Hallucination

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 1816 papers

TitleStatusHype
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity DetectionCode0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
Task-Oriented Dialog Systems for the Senegalese Wolof Language—0
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning—0
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models—0
Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data—0
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries—0
Accelerating Retrieval-Augmented Generation—0
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Unanswerable Questions and Ambiguous Prompts—0
Benchmarking large language models for materials synthesis: the case of atomic layer deposition—0
TACOMORE: Leveraging the Potential of LLMs in Corpus-based Discourse Analysis with Prompt Engineering—0
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning—0
Hallucination Elimination and Semantic Enhancement Framework for Vision-Language Models in Traffic ScenariosCode0
HalluCana: Fixing LLM Hallucination with A Canary Lookahead—0
Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study—0
Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language ModelsCode0
Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent—0
Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization—0
Steps are all you need: Rethinking STEM Education with Prompt Engineering—0
LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs—0
100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG—0
Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models—0
Deep priors for satellite image restoration with accurate uncertainties—0
Reducing Tool Hallucination via Reliability Alignment—0
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration—0
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding—0
Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis—0
An Evolutionary Large Language Model for Hallucination Mitigation—0
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy—0
AI Benchmarks and Datasets for LLM Evaluation—0
Automating Feedback Analysis in Surgical Training: Detection, Categorization, and AssessmentCode0
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs—0
DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models—0
OPCap:Object-aware Prompting Captioning—0
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach—0
Meaningless is better: hashing bias-inducing words in LLM prompts improves performance in logical reasoning and statistical learning—0
A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs—0
VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models—0
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent—0
Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models—0
Ontology-Constrained Generation of Domain-Specific Clinical SummariesCode0
Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation—0
Detecting Hallucinations in Virtual Histology with Neural Precursors—0
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models—0
Sycophancy in Large Language Models: Causes and Mitigations—0
CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs—0
Can Open-source LLMs Enhance Data Synthesis for Toxic Detection?: An Experimental Study—0
Mitigating Knowledge Conflicts in Language Model-Driven Question Answering—0
Show:102550
← PrevPage 18 of 37Next →

No leaderboard results yet.