https://github.com/khuangaf/chocolate
공식 코드Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
Papers with Code 아카이브
Factual Inconsistency Detection in Chart Captioning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Detect factual inconsistency between charts and captions.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/openai/evals
공식 코드https://github.com/AUCOHL/RTL-Repo
https://github.com/LLaVA-VL/LLaVA-NeXT
https://github.com/albertotestoni/ndq_visual_objects
https://github.com/dinhvietcuong1996/icme25-inova
https://github.com/emrgnt-cmplxty/zero-shot-replication
https://github.com/eternityyw/tram-benchmark
https://github.com/ethz-privsec/superhuman-ai-consistency
https://github.com/ethz-spylab/superhuman-ai-consistency
https://github.com/gpt4life/alpagasus
https://github.com/haotian-liu/LLaVA
https://github.com/huggingface/transformers
DePlot: One-shot visual language reasoning by plot-to-table translation
https://github.com/lflage/openfactscore
https://github.com/linzhiqiu/clip-flant5
https://github.com/salesforceairesearch/crmarena
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
https://github.com/shmsw25/factscore
https://github.com/skunkworksai/bakllava
https://github.com/sshh12/multi_token
https://github.com/unispac/visual-adversarial-examples-jailbreak-large-language-models
https://github.com/x2fd/lvis-instruct4v
https://github.com/zach-zhiling-zheng/reticular_chemist
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.