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Hallucination

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Showing 1–50 of 1816 papers

TitleStatusHype
MiniCPM-V: A GPT-4V Level MLLM on Your PhoneCode12
Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language ModelsCode11
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V TrustworthinessCode11
O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?Code7
MoE-LLaVA: Mixture of Experts for Large Vision-Language ModelsCode7
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackCode6
Gorilla: Large Language Model Connected with Massive APIsCode6
UQLM: A Python Package for Uncertainty Quantification in Large Language ModelsCode5
DeepEyes: Incentivizing "Thinking with Images" via Reinforcement LearningCode5
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble ScorersCode5
Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanCode5
Weakly Supervised Detection of Hallucinations in LLM ActivationsCode5
Ferret: Refer and Ground Anything Anywhere at Any GranularityCode5
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language ModelCode5
LettuceDetect: A Hallucination Detection Framework for RAG ApplicationsCode4
Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video UnderstandingCode4
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and ChallengesCode4
Halu-J: Critique-Based Hallucination JudgeCode4
Hallucination of Multimodal Large Language Models: A SurveyCode4
The All-Seeing Project V2: Towards General Relation Comprehension of the Open WorldCode4
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language ModelsCode4
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringCode4
LLM-Enhanced Data ManagementCode4
Retrieval-Augmented Generation for Large Language Models: A SurveyCode4
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo LabellingCode4
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in ChineseCode4
Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language ModelsCode4
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationCode4
Multimodal Chain-of-Thought Reasoning in Language ModelsCode4
ReAct: Synergizing Reasoning and Acting in Language ModelsCode4
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language ModelsCode3
Verdict: A Library for Scaling Judge-Time ComputeCode3
Automated Hypothesis Validation with Agentic Sequential FalsificationsCode3
VideoRoPE: What Makes for Good Video Rotary Position Embedding?Code3
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth FusionCode3
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG SystemsCode3
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language ModelsCode3
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and AudioCode3
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language ModelsCode3
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision MakingCode3
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationCode3
Graph Retrieval-Augmented Generation: A SurveyCode3
RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkCode3
Learning Dynamics of LLM FinetuningCode3
AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language ModelsCode3
CRAG -- Comprehensive RAG BenchmarkCode3
RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language ModelsCode3
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
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