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/gpoesia/certified-reasoning

Certified Deductive Reasoning with Language Models

https://github.com/gsq7474741/Paddle-NCR

Neural Collaborative Reasoning

https://github.com/hamidthri/navbot_ppo

Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation

https://github.com/hammer-wang/oml-ppo/blob/master/README.md

Automated Optical Multi-layer Design via Deep Reinforcement Learning

https://github.com/hawkrobe/division_of_labor

The division of labor in communication: Speakers help listeners account for asymmetries in visual perspective

https://github.com/hegde95/ViZDoom_with_Sound

ViZDoom Competitions: Playing Doom from Pixels

https://github.com/heiner/scalable_agent

Learning to Navigate in Cities Without a Map

https://github.com/hitachi-nlp/fld-corpus

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

https://github.com/hitachi-nlp/fld-generator

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

https://github.com/hitsz-tmg/videovista

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning

https://github.com/hkust-knowcomp/efo-1-qa-benchmark

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

https://github.com/hsd1503/resnet1d

HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units

https://github.com/huang-xx/STGAT

Social Attention: Modeling Attention in Human Crowds

https://github.com/hughbzhang/o1_inference_scaling_laws

Self-Consistency Improves Chain of Thought Reasoning in Language Models

https://github.com/ibm/gcog

A Dataset and Architecture for Visual Reasoning with a Working Memory

https://github.com/ibm/neuro-vector-symbolic-architectures-raven

A Neuro-vector-symbolic Architecture for Solving Raven's Progressive Matrices

https://github.com/ibm/torchlogic

Logical Neural Networks

https://github.com/icmlanon58443043/vizdoom

ViZDoom Competitions: Playing Doom from Pixels

https://github.com/icmlanon58443043/vizdoomicmlanon

ViZDoom Competitions: Playing Doom from Pixels

https://github.com/instructlab/instructlab

Measuring Massive Multitask Language Understanding

https://github.com/itay1itzhak/instructedtobias

Language models show human-like content effects on reasoning tasks

https://github.com/jack-bo1220/awesome-remote-sensing-foundation-models

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

https://github.com/jacobkrantz/VLN-CE

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

https://github.com/jaekyeom/mabas

Dynamic Few-Shot Visual Learning without Forgetting

https://github.com/jinbac/Yolo_Trees

TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

https://github.com/josegg05/eRGWnet

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

https://github.com/josephjwilson/cayley_graph_propagation

Expander Graph Propagation

https://github.com/js3611/Deep-MRI-Reconstruction

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

https://github.com/jxwuyi/House3D

Embodied Question Answering

https://github.com/kamwoh/partcraft

DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination

https://github.com/kanji95/carla-nav-tool

Ground then Navigate: Language-guided Navigation in Dynamic Scenes

https://github.com/karayanni/structurease

PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization

https://github.com/karpathy/llama2.c

Training Compute-Optimal Large Language Models

https://github.com/kartikey-singh/Replicating-SeER

SeER: An Explainable Deep Learning MIDI-based Hybrid Song Recommender System

https://github.com/keunwoochoi/dl4mir

A Tutorial on Deep Learning for Music Information Retrieval

https://github.com/kimsoojie/lab_vcl_360panorama

360 Panorama Synthesis from a Sparse Set of Images with Unknown Field of View

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