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Logical Reasoning

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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/gistvision/moca

공식 코드

Factorizing Perception and Policy for Interactive Instruction Following

https://github.com/githubhyz/delta

공식 코드

DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability

https://github.com/gkahn13/LaND

공식 코드

LaND: Learning to Navigate from Disengagements

https://github.com/gkahn13/badgr

공식 코드

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

https://github.com/gkahn13/gcg

공식 코드

Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation

https://github.com/glaciohound/clore

공식 코드

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations

https://github.com/gnns4hri/socnavgym

공식 코드

SocNavGym: A Reinforcement Learning Gym for Social Navigation

https://github.com/gnobitab/fusedream

공식 코드

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization

https://github.com/goldengua/counterfactual_inference_lm

공식 코드

Counterfactual reasoning: Do language models need world knowledge for causal understanding?

https://github.com/goldslime123/explorb-slam-rl

공식 코드

Reinforcement Learning with Frontier-Based Exploration via Autonomous Environment

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

공식 코드

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

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

공식 코드

Learning Abstract Models for Strategic Exploration and Fast Reward Transfer

https://github.com/google-research/google-research/tree/master/compositional_rl

공식 코드

Adversarial Environment Generation for Learning to Navigate the Web

https://github.com/google/cog

공식 코드

A Dataset and Architecture for Visual Reasoning with a Working Memory

https://github.com/gramuah/semnav

공식 코드

SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic Navigation

https://github.com/graph-machine-learning-group/sgp

공식 코드

Scalable Spatiotemporal Graph Neural Networks

https://github.com/graphpku/coi

공식 코드

Chain of Images for Intuitively Reasoning

https://github.com/gregorycoppola/bayes-star

공식 코드

The Quantified Boolean Bayesian Network: Theory and Experiments with a Logical Graphical Model

https://github.com/groundlight/vlm-visual-demonstrations

공식 코드

Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?

https://github.com/gt-ripl/coda-prompt

공식 코드

CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning

https://github.com/gustavokcouto/hgail

공식 코드

Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments

https://github.com/gyhou123/egosocialarena

공식 코드

Entering Real Social World! Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective

https://github.com/hadjisma/VideoAlignment

공식 코드

Representation Learning via Global Temporal Alignment and Cycle-Consistency

https://github.com/haetae-project/hae-rae-bench

공식 코드

HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models

https://github.com/haidiazaman/rl-concept-learning-project

공식 코드

Compositional Learning of Visually-Grounded Concepts Using Reinforcement

https://github.com/haimingt/GOTaxonConstraint

공식 코드

GOTaxon: Representing the evolution of biological functions in the Gene Ontology

https://github.com/haitian-sun/conditionalqa

공식 코드

ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers

https://github.com/hanlinniu/turtlebot3_ddpg_collision_avoidance

공식 코드

Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player

https://github.com/hannahkirk/prism-alignment

공식 코드

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

https://github.com/hanqingwangai/ccc-vln

공식 코드

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

https://github.com/harinduravin/dualcam

공식 코드

DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection

https://github.com/helang818/lmvd

공식 코드

LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild

https://github.com/hendrycks/test

공식 코드

Measuring Massive Multitask Language Understanding

https://github.com/hincz-lab/ml-nonequilibrium

공식 코드

Machine learning in and out of equilibrium

https://github.com/hiroki39/noisy-exemplars-make-large-language-models-more-robust

공식 코드

Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis

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

공식 코드

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

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