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/sanjayseshan/autodrive

공식 코드

Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle Safety

https://github.com/sbackmann/moralsim

공식 코드

When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas

https://github.com/sberbank-ai-lab/mimic.profile

공식 코드

Medical Profile Model: Scientific and Practical Applications in Healthcare

https://github.com/sebajoe/decide-less-communicate-more

공식 코드

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

https://github.com/sebischair/kg-conv-exploratory-search

공식 코드

From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory Search

https://github.com/sensein/structsense

공식 코드

STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking

https://github.com/sensing-reasoning/sensing-reasoning-pipeline

공식 코드

Improving Certified Robustness via Statistical Learning with Logical Reasoning

https://github.com/sgl-project/sglang

공식 코드

SGLang: Efficient Execution of Structured Language Model Programs

https://github.com/shahab-k93/cancer-and-smart-nanorobot

공식 코드

Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking

https://github.com/shamsbasir/investigating_mitigating_failure_modes_in_pinns

공식 코드

Investigating and Mitigating Failure Modes in Physics-informed Neural Networks (PINNs)

https://github.com/shanka123/llm_pfc

공식 코드

Improving Planning with Large Language Models: A Modular Agentic Architecture

https://github.com/shaox192/NeuralGuidance

공식 코드

Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks

https://github.com/sharonal10/langint

공식 코드

Language-Informed Visual Concept Learning

https://github.com/sharonlevy/SafeRoute

공식 코드

SafeRoute: Learning to Navigate Streets Safely in an Urban Environment

https://github.com/shaunak27/grain-clip

공식 코드

Grounding Descriptions in Images informs Zero-Shot Visual Recognition

https://github.com/shehzaadzd/MINERVA

공식 코드

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

https://github.com/shengnanh20/lamp

공식 코드

LAMP: Leveraging Language Prompts for Multi-person Pose Estimation

https://github.com/shim0114/ssm-meets-video-diffusion-models

공식 코드

SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

https://github.com/shininglab/cat

공식 코드

Counterfactual Adversarial Learning with Representation Interpolation

https://github.com/shininglab/systematic-generalization-via-meaningful-learning

공식 코드

Revisit Systematic Generalization via Meaningful Learning

https://github.com/should-ai-lab/grid

공식 코드

Grid: Omni Visual Generation

https://github.com/shuishida/calvin

공식 코드

Towards real-world navigation with deep differentiable planners

https://github.com/sileod/llm-theory-of-mind

공식 코드

MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic

https://github.com/sileod/unigram

공식 코드

Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars

https://github.com/sisl/AutomotiveSafeRL

공식 코드

Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments

https://github.com/sisl/AutonomousMerging.jl

공식 코드

Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic

https://github.com/sisl/UAV_Wildfire_Monitoring

공식 코드

Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction

https://github.com/siyuanwangw/ulogic

공식 코드

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs

https://github.com/siyuyuan/scar

공식 코드

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

https://github.com/sjtu-zhao-lab/clusterkv

공식 코드

ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression

https://github.com/skyriver-2000/rulearena

공식 코드

RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios

https://github.com/sled-group/chat-with-nerf

공식 코드

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

https://github.com/sled-group/driVLMe

공식 코드

DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences

https://github.com/sled-group/navchat

공식 코드

Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation

https://github.com/smlc-nysbc/ptolemy

공식 코드

Learning to automate cryo-electron microscopy data collection with Ptolemy

https://github.com/snap-stanford/zeroc

공식 코드

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time

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