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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AIS-Bonn/synpick

공식 코드

SynPick: A Dataset for Dynamic Bin Picking Scene Understanding

https://github.com/AlanLuSun/High-quality-ellipse-detection

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Arc-support Line Segments Revisited: An Efficient and High-quality Ellipse Detection

https://github.com/ChengzeYe/Defrise-and-Clack-reconstruction

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DRACO: Differentiable Reconstruction for Arbitrary CBCT Orbits

https://github.com/GIST-DSLab/ARC_Prompt

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Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

https://github.com/HawkTom/Dynamic-CARP

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A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems

https://github.com/IPRC-DIP/ANPL

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ANPL: Towards Natural Programming with Interactive Decomposition

https://github.com/JayMan91/CP2021-Data-Driven-VRP

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Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP

https://github.com/Kai-Xuan/ComponentSPD

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More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation

https://github.com/Kai-Xuan/iCovDs

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More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation

https://github.com/LGE-ARC-AdvancedAI/auptimizer

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Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning

https://github.com/LIDS-UNICAMP/DISF

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Superpixel Segmentation using Dynamic and Iterative Spanning Forest

https://github.com/LeapLabTHU/ARC

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Adaptive Rotated Convolution for Rotated Object Detection

https://github.com/Noahs-ARK/NeurboParser

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Deep Multitask Learning for Semantic Dependency Parsing

https://github.com/Qualcomm-AI-research/codeit

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CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay

https://github.com/SHI-Labs/Semi-Supervised-Transfer-Learning

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Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

https://github.com/UKPLab/acl2025-con-instruction

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Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities

https://github.com/YuxiXie/MCTS-DPO

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Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

https://github.com/adkipnis/metabench

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$\texttt{metabench}$ -- A Sparse Benchmark to Measure General Ability in Large Language Models

https://github.com/akirakawabata/reps

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Rationale-Aware Answer Verification by Pairwise Self-Evaluation

https://github.com/allenai/scicite

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Structural Scaffolds for Citation Intent Classification in Scientific Publications

https://github.com/amazon-research/fact-graph

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FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations

https://github.com/appleternity/FrameForecasting

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Semantic Frame Forecast

https://github.com/appleternity/story-plot-generation

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Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction

https://github.com/arc-l/dipn

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DIPN: Deep Interaction Prediction Network with Application to Clutter Removal

https://github.com/arezooSarvi/sigir2020-eComWorkshop-LTM-for-product-search

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A Comparison of Supervised Learning to Match Methods for Product Search

https://github.com/athenarc/citationintentopenllm

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Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs

https://github.com/avisheklahiri/citeprompt

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CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers

https://github.com/batorskq/nsa

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NSA: Neuro-symbolic ARC Challenge

https://github.com/bcmi220/ggdp

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Global Greedy Dependency Parsing

https://github.com/cengzihao/adamoe

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AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models

https://github.com/cisnlp/mexa

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MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment

https://github.com/clement-bonnet/lpn

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Searching Latent Program Spaces

https://github.com/confeitohs/arcle

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ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

https://github.com/cstevenson-uva/kidsarc

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Do Large Language Models Solve ARC Visual Analogies Like People Do?

https://github.com/danifg/Non-Local-Covington

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Non-Projective Dependency Parsing with Non-Local Transitions

https://github.com/davidyanande/arc

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Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing

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