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/pladifes/climate_finance_bench

공식 코드

Climate Finance Bench

https://github.com/plasma-umass/chatdbg

공식 코드

ChatDBG: Augmenting Debugging with Large Language Models

https://github.com/plurai-ai/intellagent

공식 코드

IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems

https://github.com/pnnl/neuromancer

공식 코드

A Robust, Efficient Predictive Safety Filter

https://github.com/pokerwf/KnowLogic

공식 코드

SCoRE: Benchmarking Long-Chain Reasoning in Commonsense Scenarios

https://github.com/poloclub/wizmap

공식 코드

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings

https://github.com/pphuc25/distil-cd

공식 코드

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation

https://github.com/praznat/annotationmodeling

공식 코드

A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks

https://github.com/prbonn/4dmos

공식 코드

Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions

https://github.com/princeton-computational-imaging/doppler_nlos

공식 코드

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

https://github.com/princeton-nlp/Collie

공식 코드

COLLIE: Systematic Construction of Constrained Text Generation Tasks

https://github.com/princeton-nlp/WebShop

공식 코드

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

https://github.com/project-basileus/multitype-sequence-generation-by-tlstm-gan

공식 코드

Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem

https://github.com/proved-py/proved-core

공식 코드

PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data

https://github.com/pseeth/otoworld

공식 코드

OtoWorld: Towards Learning to Separate by Learning to Move

https://github.com/psu1/DeepRNN

공식 코드

Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks

https://github.com/pujari-rajkumar/cultural-schema-naacl2025

공식 코드

LLM-Human Pipeline for Cultural Context Grounding of Conversations

https://github.com/purdueminds/isdea

공식 코드

Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types

https://github.com/pxiangwu/MotionNet

공식 코드

Joint Perception and Prediction for Autonomous Driving: A Survey

https://github.com/pytorch/rl

공식 코드

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

https://github.com/qi-pang/llm-watermark-attacks

공식 코드

No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices

https://github.com/qian-git/mammals

공식 코드

Adaptive Multi-Agent Continuous Learning System

https://github.com/qianlima-lab/clmpt

공식 코드

Conditional Logical Message Passing Transformer for Complex Query Answering

https://github.com/quangpham2006/SmallPlan

공식 코드

SmallPlan: Leverage Small Language Models for Sequential Path Planning with Simulation-Powered, LLM-Guided Distillation

https://github.com/quantingxie/reasonedexplorer

공식 코드

Reasoning about the Unseen for Efficient Outdoor Object Navigation

https://github.com/quester-one/awesome-llm-planning

공식 코드

Large Language Models for Planning: A Comprehensive and Systematic Survey

https://github.com/qurrent-ai/res-q

공식 코드

RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale

https://github.com/r-drummond/convex-nn-synthesis-1norm

공식 코드

Convex neural network synthesis for robustness in the 1-norm

https://github.com/rabbit-magic-wh/InDL

공식 코드

InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion

https://github.com/rahul13ramesh/SuccessorOptions

공식 코드

Successor Options: An Option Discovery Framework for Reinforcement Learning

https://github.com/raise-lab/soc-nav-training

공식 코드

Improving Generalization in Reinforcement Learning Training Regimes for Social Robot Navigation

https://github.com/raising-hrx/fallacies

공식 코드

A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning

https://github.com/rajasekharmekala/query-rephrasing-subtask-cot

공식 코드

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning

https://github.com/rajatkoner08/Graphhopper

공식 코드

Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering

https://github.com/ramyakeerthy/alignmentfol

공식 코드

Assessing the Alignment of FOL Closeness Metrics with Human Judgement

https://github.com/rasahq/tod-in-context-learning

공식 코드

Task-Oriented Dialogue with In-Context Learning

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