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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/johnlyu2/z3alpha
공식 코드Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
https://github.com/jonathan-laurent/delphyne
공식 코드Oracular Programming: A Modular Foundation for Building LLM-Enabled Software
https://github.com/jotabravo/spacecraft-uda
공식 코드https://github.com/jr2021/ManyFairHPO-AIES
공식 코드https://github.com/jrl-98/live-deskewing
공식 코드https://github.com/jurgisp/memory-maze
공식 코드https://github.com/jwangjie/mixed-traffic-gp-mpc
공식 코드https://github.com/jxwuyi/HouseNavAgent
공식 코드https://github.com/jyonn/genre-requests
공식 코드ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
https://github.com/jyonn/once
공식 코드ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
https://github.com/kanji95/Talk2car-Refseg
공식 코드https://github.com/karenacorn99/Social-Narrative-Tree
공식 코드"where is this relationship going?": Understanding Relationship Trajectories in Narrative Text
https://github.com/karthiksoman/zebra-Llama
공식 코드Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge
https://github.com/kayween/local-bo-mpd
공식 코드Local Bayesian optimization via maximizing probability of descent
https://github.com/keunwoochoi/mir_deepnet_tutorial
공식 코드https://github.com/koenecke/auditing_asr_aphasia
공식 코드https://github.com/kuangdai/sofa
공식 코드Deep Learning Evidence for Global Optimality of Gerver's Sofa
https://github.com/kumuji/anomaly-benchmark-suite
공식 코드https://github.com/kumuji/ugains
공식 코드https://github.com/laihuiyuan/eval-formality-transfer
공식 코드Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer
https://github.com/laiyao1/arithmetictree
공식 코드Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
https://github.com/lamps-lab/ETDMiner
공식 코드ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
https://github.com/lanjiuqing64/kgdata
공식 코드ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs
https://github.com/lavi-lab/navillm
공식 코드https://github.com/lcfractal/vlnrem
공식 코드https://github.com/liangcici/CITL-VLN
공식 코드Contrastive Instruction-Trajectory Learning for Vision-Language Navigation
https://github.com/lis-epfl/vswarm
공식 코드https://github.com/liuaishan/SpatiotemporalAttack
공식 코드https://github.com/ljcleo/agent_sense
공식 코드AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios
https://github.com/longbai1006/endouic
공식 코드EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
https://github.com/lorafib/LumiPath
공식 코드LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices
https://github.com/lorifranke/FiberStars
공식 코드FiberStars: Visual Comparison of Diffusion Tractography Data between Multiple Subjects
https://github.com/lpercc/ha3d_simulator
공식 코드https://github.com/lrj-2000/nngtl
공식 코드NNgTL: Neural Network Guided Optimal Temporal Logic Task Planning for Mobile Robots
https://github.com/ltluttmann/marl4msprp
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.