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Hallucination

Papers

Showing 125 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
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V TrustworthinessCode11
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
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
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble ScorersCode5
Ferret: Refer and Ground Anything Anywhere at Any GranularityCode5
UQLM: A Python Package for Uncertainty Quantification in Large Language ModelsCode5
Weakly Supervised Detection of Hallucinations in LLM ActivationsCode5
DeepEyes: Incentivizing "Thinking with Images" via Reinforcement LearningCode5
Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language ModelCode5
Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanCode5
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringCode4
Hallucination of Multimodal Large Language Models: A SurveyCode4
Retrieval-Augmented Generation for Large Language Models: A SurveyCode4
A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and ChallengesCode4
LLM-Enhanced Data ManagementCode4
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language ModelsCode4
Multimodal Chain-of-Thought Reasoning in Language ModelsCode4
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo LabellingCode4
Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language ModelsCode4
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in ChineseCode4
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