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Odd One Out
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 2
This task tests to what extent a language model is able to identify the odd word.
Source: BIG-bench
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/VICO-UoE/OddOneOutAD
공식 코드https://github.com/fudanvi/generative-abstract-reasoning
공식 코드https://github.com/lukasmut/vice
공식 코드https://github.com/mikomel/sal
공식 코드One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
https://github.com/ykotseruba/P3O3_metrics
공식 코드Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
https://github.com/zahradehghanian97/rcalad
공식 코드Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN
https://github.com/SalmanMohammadi/msci-fairnessdisentanglement
https://github.com/alexandonian/relational-set-abstraction
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/deepmind/tell_me_why_explanations_rl
Tell me why! Explanations support learning relational and causal structure
https://github.com/florianmahner/object-dimensions
https://github.com/karpathy/llama2.c
https://github.com/nkluge-correa/teenytinyllama
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/ykotseruba/SALICONtf
Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.