https://github.com/mrwu-mac/R-Bench
공식 코드Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
Papers with Code 아카이브
Hallucination
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mutonix/refgpt
공식 코드https://github.com/nafissadeq/rolefact
공식 코드https://github.com/nanami18/snowballed_hallucination
공식 코드https://github.com/nasib-ullah/THVC
공식 코드https://github.com/naver-ai/clip4dm
공식 코드https://github.com/ncgarcia/modality-distillation
공식 코드Modality Distillation with Multiple Stream Networks for Action Recognition
https://github.com/ncsoft/cap2qa
공식 코드https://github.com/ncsoft/harim_plus
공식 코드HaRiM$^+$: Evaluating Summary Quality with Hallucination Risk
https://github.com/ncsoft/idk
공식 코드Visually Dehallucinative Instruction Generation: Know What You Don't Know
https://github.com/negrinho/medical_conversation_summarization
공식 코드Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
https://github.com/netmanaiops/opseval-datasets
공식 코드OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models
https://github.com/neuir/llm-qe
공식 코드LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences
https://github.com/ngregoriade/semeval2024-shroom
공식 코드AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis
https://github.com/nicholasli1995/s-3d-rcnn
공식 코드Joint stereo 3D object detection and implicit surface reconstruction
https://github.com/niejiahao1998/mmrel
공식 코드https://github.com/night-chen/toolqa
공식 코드ToolQA: A Dataset for LLM Question Answering with External Tools
https://github.com/nightdessert/retrieval_head
공식 코드Retrieval Head Mechanistically Explains Long-Context Factuality
https://github.com/nju-websoft/KG2RAG
공식 코드https://github.com/njucckevin/knowcap
공식 코드https://github.com/njunlp/hallu-pi
공식 코드Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs
https://github.com/nlp-ucsc/semeval-2025-task3
공식 코드https://github.com/nlpcode/life
공식 코드Improving Factual Error Correction by Learning to Inject Factual Errors
https://github.com/nlpcode/tubench
공식 코드TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions
https://github.com/norskregnesentral/difffusr
공식 코드DiffFuSR: Super-Resolution of all Sentinel-2 Multispectral Bands using Diffusion Models
https://github.com/nouhadziri/neural-path-hunter
공식 코드Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
https://github.com/ntunlplab/fecs
공식 코드https://github.com/nusnlp/fspo
공식 코드The Hallucination Dilemma: Factuality-Aware Reinforcement Learning for Large Reasoning Models
https://github.com/ojedaf/merlim
공식 코드Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models
https://github.com/oneal2000/entityhallucination
공식 코드Mitigating Entity-Level Hallucination in Large Language Models
https://github.com/oneal2000/mind
공식 코드Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
https://github.com/opanhw/MM_Neurons
공식 코드Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers
https://github.com/open-compass/anah
공식 코드ANAH: Analytical Annotation of Hallucinations in Large Language Models
https://github.com/open-dataflow/rare
공식 코드https://github.com/openbmb/omnilmm
공식 코드RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
https://github.com/openbmb/pip-kag
공식 코드PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.