Papers with Code 아카이브

Logical Reasoning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/eternityyw/tram-benchmark

PaLM 2 Technical Report

https://github.com/ethz-asl/hf_net

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

https://github.com/ethz-asl/hfnet

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

https://github.com/evoagentx/evoagentx

Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

https://github.com/ezhang7423/social-environment-design

Melting Pot 2.0

https://github.com/fMoW/dataset

Functional Map of the World

https://github.com/fabiopardo/qmap

Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks

https://github.com/facebookarchive/uetorch

Learning Physical Intuition of Block Towers by Example

https://github.com/facebookresearch/DomainBed

Functional Map of the World

https://github.com/facebookresearch/EgoTV

AI2-THOR: An Interactive 3D Environment for Visual AI

https://github.com/facebookresearch/House3D

Embodied Question Answering

https://github.com/facebookresearch/clutrr

Measuring Systematic Generalization in Neural Proof Generation with Transformers

https://github.com/facebookresearch/edin

EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing

https://github.com/facebookresearch/habitat-api/tree/master/habitat_baselines/rl/ddppo

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

https://github.com/facebookresearch/rl

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

https://github.com/facebookresearch/soundspaces-challenge

SoundSpaces: Audio-Visual Navigation in 3D Environments

https://github.com/facebookresearch/taskmodularnets

Task-Driven Modular Networks for Zero-Shot Compositional Learning

https://github.com/fanqiwan/fuseai

Knowledge Fusion of Large Language Models

https://github.com/farama-foundation/vizdoom

ViZDoom Competitions: Playing Doom from Pixels

https://github.com/fatebreaker/RARE

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

https://github.com/fatyin88/MCQA_project

MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension

https://github.com/feipenghe/DYGIE

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

https://github.com/fferroni/PhasedLSTM-Keras

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

https://github.com/fmow/baseline

Functional Map of the World

https://github.com/foundation-model-stack/fms-fsdp

PaLM: Scaling Language Modeling with Pathways

https://github.com/francoisluus/KGReasoning

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

https://github.com/g-u-n/pycil

DER: Dynamically Expandable Representation for Class Incremental Learning

https://github.com/galsang/BiDAF-pytorch

Bidirectional Attention Flow for Machine Comprehension

https://github.com/ghus75/Question_Answering

Bidirectional Attention Flow for Machine Comprehension

https://github.com/goodmike31/pl-asr-bigos-tools

Scaling Synthetic Data Creation with 1,000,000,000 Personas

https://github.com/google-deepmind/meltingpot

Melting Pot 2.0

https://github.com/google-deepmind/scalable_agent

Learning to Navigate in Cities Without a Map

https://github.com/google-deepmind/streetlearn

Learning To Follow Directions in Street View

https://github.com/google-research-datasets/RxR

General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping

https://github.com/google-research/deeplab2

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

https://github.com/google/paxml

PaLM: Scaling Language Modeling with Pathways

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.