Papers with Code 아카이브
Logical Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 22
- 평가표
- 10
- 보존된 평가 기록
- 65
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kritiksoman/GIMP-ML
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/lastmile-ai/aiconfig/tree/main/cookbooks/Multi-LLM-Consistency
Self-Consistency Improves Chain of Thought Reasoning in Language Models
https://github.com/laurendelong21/mars
https://github.com/leloykun/mmfm-challenge
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/leonguertler/textarena
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
https://github.com/lightaime/camel
https://github.com/liu-yushan/PoLo
https://github.com/liuguitao/AVP-SLAM-PLUS
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
https://github.com/lm-sys/routellm
https://github.com/lmn-extracts/dcn_plus
https://github.com/loganrjmurphy/leaneuclid
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
https://github.com/logictensornetworks/logictensornetworks
Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
https://github.com/lorebianchi98/fg-ovd
Is CLIP the main roadblock for fine-grained open-world perception?
https://github.com/lucidrains/CoCa-pytorch
https://github.com/lucidrains/HTM-pytorch
Towards mental time travel: a hierarchical memory for reinforcement learning agents
https://github.com/lucidrains/PaLM-jax
https://github.com/lucidrains/PaLM-pytorch
https://github.com/lucidrains/vit-pytorch
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
https://github.com/lupantech/chameleon-llm
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
https://github.com/lupantech/promptpg
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
https://github.com/lyqcom/nlr
https://github.com/m-hasan-n/pooling
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
https://github.com/m-hildebrandt/R2D2
https://github.com/m5823779/DDPG
https://github.com/m5823779/MotionPlannerUsingDDPG
https://github.com/ma921/XRDidentifier
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units
https://github.com/madrylab/datamodels-data
https://github.com/marijnvk/LargeScaleEvolution
https://github.com/marina-sp/reinform
https://github.com/markWJJ/rl
https://github.com/mbrossar/RINS-W
https://github.com/meera1hahn/Graph_LED
https://github.com/meera1hahn/NRNS
No RL, No Simulation: Learning to Navigate without Navigating
https://github.com/miaoruonan/MACA_test
Socially Aware Motion Planning with Deep Reinforcement Learning
https://github.com/microsoft/affect_based_intrinsic_rewards_for_learning_representations
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.