https://github.com/corentin-ryr/multimedeval
공식 코드MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
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Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MultiMedEval: A Benchmark and a Toolkit for Evaluating Medical Vision-Language Models
CORL: Research-oriented Deep Offline Reinforcement Learning Library
Parameterized Argumentation-based Reasoning Tasks for Benchmarking Generative Language Models
REAL-Colon: A dataset for developing real-world AI applications in colonoscopy
REAL-Colon: A dataset for developing real-world AI applications in colonoscopy
Towards Evaluating Generalist Agents: An Automated Benchmark in Open World
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization
ST-MFNet Mini: Knowledge Distillation-Driven Frame Interpolation
Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
Towards IID representation learning and its application on biomedical data
LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
X-Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.