https://github.com/krantirk/Self-Supervised-photo
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
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Hallucination
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lastmile-ai/aiconfig/tree/main/cookbooks/Chain-of-Verification
Chain-of-Verification Reduces Hallucination in Large Language Models
https://github.com/lean-dojo/leaninfer
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
https://github.com/liyan06/minicheck
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models
https://github.com/liyuan24/nanodeepresearch
https://github.com/majedelhelou/fc-diffusion
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
https://github.com/manthan2305/Efficient-G-Retriever
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
https://github.com/marcin-laskowski/Pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/medhalt/medhalt
Med-HALT: Medical Domain Hallucination Test for Large Language Models
https://github.com/miv-xjtu/speed
https://github.com/mlaskowski17/Pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/nvlabs/parametricbev
https://github.com/oatml/semantic-entropy-probes
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
https://github.com/openbmb/minicpm-v
https://github.com/opscidia/science-checker
Science Checker Reloaded: A Bidirectional Paradigm for Transparency and Logical Reasoning
https://github.com/p1k0pan/ICD
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
https://github.com/phbst/tinyrag
Retrieval-Augmented Generation for Large Language Models: A Survey
https://github.com/profsynapse/synapse_cor
https://github.com/rahcode7/semeval-shroom
Chainpoll: A high efficacy method for LLM hallucination detection
https://github.com/relic-yuexi/agentcourt
DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model
https://github.com/rhgao/Deep-MIML-Network
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/rhgao/Im2Flow
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/rhgao/separating-object-sounds
Im2Flow: Motion Hallucination from Static Images for Action Recognition
https://github.com/rover-xingyu/Ha-NeRF
https://github.com/ruc-nlpir/flashrag
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
https://github.com/saurabh-kataria/projected-distribution-loss
https://github.com/sbhadra2020/hallucinations-tomo-recon
https://github.com/scir-hi/huatuo-llama-med-chinese
https://github.com/shawnhuang497/bird
Ferret: Refer and Ground Anything Anywhere at Any Granularity
https://github.com/sierra-research/tau-bench
https://github.com/sigmorphon/2022inflectionst
https://github.com/skytliang/multi-agents-debate
Exploring Human-Like Translation Strategy with Large Language Models
https://github.com/stupidbuluchacha/urbanclip
UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction
https://github.com/syb7573330/im2avatar
https://github.com/syscv/ovtrack
https://github.com/tg-bomze/Face-Depixelizer
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.