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General Knowledge

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크: 7
평가표: 1
보존된 평가 기록: 2

This task aims to evaluate the ability of a model to answer general-knowledge questions.

Source: BIG-bench

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/983632847/WebUAV-3M

공식 코드

Awesome Multi-modal Object Tracking

https://github.com/983632847/awesome-multimodal-object-tracking

공식 코드

Awesome Multi-modal Object Tracking

https://github.com/ARiSE-Lab/Patch-as-translation

공식 코드

Patching as Translation: the Data and the Metaphor

https://github.com/Aatrox103/CrAM

공식 코드

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

https://github.com/Coder-II/LFG

공식 코드

LFG: A Generative Network for Real-Time Recommendation

https://github.com/Cqkkkkkk/DAGPrompT

공식 코드

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach

https://github.com/CurryTang/Graph-LLM

공식 코드

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

https://github.com/DancingSoul/NQ_BERT-DM

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Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

https://github.com/DeepLearnXMU/QGC

공식 코드

Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs

https://github.com/DeepSportRadar/ball-3d-localization-challenge

공식 코드

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations

https://github.com/FlyingRoastDuck/ACT_AAAI20

공식 코드

Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification

https://github.com/FraunhoferIVV/fastiot

공식 코드

FastIoT -- A framework and holistic approach for rapid development of IIoT systems

https://github.com/GeoX-Lab/G-RSIM

공식 코드

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

https://github.com/HongyuGong/RCM-Question-Answering

공식 코드

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

https://github.com/IBM/span-selection-pretraining

공식 코드

Span Selection Pre-training for Question Answering

https://github.com/JingqingZ/KG4ZeroShotText

공식 코드

Integrating Semantic Knowledge to Tackle Zero-shot Text Classification

https://github.com/KNOT-FIT-BUT/R2-D2

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R2-D2: A Modular Baseline for Open-Domain Question Answering

https://github.com/KyanChen/TTP

공식 코드

Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection

https://github.com/LehengTHU/Agent4Rec

공식 코드

On Generative Agents in Recommendation

https://github.com/LuminosoInsight/semeval-discriminatt

공식 코드

Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge

https://github.com/MIFA-Lab/SAFE

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SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

https://github.com/McGill-NLP/MLQuestions

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Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval

https://github.com/NVIDIA/Megatron-LM

공식 코드

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

https://github.com/NishanthVAnand/prediction_and_control_in_continual_reinforcement_learning

공식 코드

Prediction and Control in Continual Reinforcement Learning

https://github.com/Pengxin-Guo/FedSA-LoRA

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Selective Aggregation for Low-Rank Adaptation in Federated Learning

https://github.com/PengyiZhang/MIADeepSSL

공식 코드

A Survey on Deep Learning of Small Sample in Biomedical Image Analysis

https://github.com/SUSTechBruce/G-MAP

공식 코드

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks

https://github.com/ServiceNow/repliqa

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RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content

https://github.com/ShootingWong/DomainRAG

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DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation

https://github.com/TIGER-AI-Lab/VIEScore

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VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation

https://github.com/U-Alberta/QA-partial-marks

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Accurate and Nuanced Open-QA Evaluation Through Textual Entailment

https://github.com/UIC-Liu-Lab/ContinualLM

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Continual Pre-training of Language Models

https://github.com/UMass-Meta-LLM-Eval/llm_eval

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Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

https://github.com/VisaoComputacional/mira

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MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems

https://github.com/XiaoxinHe/TAPE

공식 코드

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

https://github.com/YDU-uva/VSM

공식 코드

Learning to Learn Variational Semantic Memory

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