https://github.com/shiyegao/Self-Contradictory-Instructions-SCI
공식 코드Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions
Papers with Code 아카이브
Data-free Knowledge Distillation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shl5133/E2EECPE
공식 코드End-to-end Emotion-Cause Pair Extraction via Learning to Link
https://github.com/showlab/macosworld
공식 코드macOSWorld: A Multilingual Interactive Benchmark for GUI Agents
https://github.com/shubha07m/Energy-optimized-semantic-loss
공식 코드Transformers for Green Semantic Communication: Less Energy, More Semantics
https://github.com/shubha07m/MetaGreen-Meta-Learning-Inspired-Transformer-Selection
공식 코드MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication
https://github.com/shuvenduroy/multimodal
공식 코드Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning
https://github.com/shyyhs/CourseraParallelCorpusMining
공식 코드Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
https://github.com/sianalytics/roar
공식 코드On Pitfalls of $\textit{RemOve-And-Retrain}$: Data Processing Inequality Perspective
https://github.com/siddheshih/culture-awareness-llms
공식 코드Survey of Cultural Awareness in Language Models: Text and Beyond
https://github.com/sign-language-processing/pose
공식 코드pose-format: Library for Viewing, Augmenting, and Handling .pose Files
https://github.com/signals-dev/Orion
공식 코드TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
https://github.com/signetlabdei/sharp
공식 코드https://github.com/simarkareer/unifiedvideoda
공식 코드We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
https://github.com/sinc-lab/rna-llm-folding
공식 코드Comprehensive benchmarking of large language models for RNA secondary structure prediction
https://github.com/sinhala-nlp/nsina
공식 코드https://github.com/sinhala-nlp/sinhala-headline-generation
공식 코드https://github.com/sinhala-nlp/sinhala-news-category-prediction
공식 코드https://github.com/sinhala-nlp/sinhala-news-media-identification
공식 코드https://github.com/sintel-dev/orion
공식 코드AER: Auto-Encoder with Regression for Time Series Anomaly Detection
https://github.com/sisinflab/Ducho-meets-Elliot
공식 코드Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation
https://github.com/sisinflab/datarec
공식 코드DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems
https://github.com/sisinflab/ducho
공식 코드https://github.com/sisinflab/formal-multimod-rec
공식 코드Formalizing Multimedia Recommendation through Multimodal Deep Learning
https://github.com/sisinflab/llm-memoryinspector
공식 코드Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M
https://github.com/sislab-unitn/dyknow
공식 코드DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs
https://github.com/sjmeis/mldp
공식 코드https://github.com/sjtu-omniagent/vocalbench
공식 코드VocalBench: Benchmarking the Vocal Conversational Abilities for Speech Interaction Models
https://github.com/skelemoa/quovadis
공식 코드https://github.com/sktsherlock/atg
공식 코드When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning
https://github.com/slavovlab/scp_recommendations
공식 코드https://github.com/slds-lmu/qdo_yahpo
공식 코드https://github.com/slyipae1/MedBookVQA
공식 코드MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book
https://github.com/sm4da/qemfi
공식 코드QeMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules
https://github.com/smartyfh/llm-uncertainty-bench
공식 코드https://github.com/sming256/OpenTAD
공식 코드OpenTAD: A Unified Framework and Comprehensive Study of Temporal Action Detection
https://github.com/smpl-env/smpl
공식 코드SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.