Logical Reasoning
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/joestacey/atomic_inference_anli
공식 코드https://github.com/joestacey/snli_logic
공식 코드Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
https://github.com/johnlyu2/z3alpha
공식 코드Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
https://github.com/jonashuegel/tspmplus_r
공식 코드tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
https://github.com/jonashuegel/tspmplusdocker
공식 코드tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
https://github.com/jonathan-laurent/delphyne
공식 코드Oracular Programming: A Modular Foundation for Building LLM-Enabled Software
https://github.com/joshuacnf/paradox-learning2reason
공식 코드https://github.com/jotabravo/spacecraft-uda
공식 코드https://github.com/joyjayng/Bongard-OpenWorld
공식 코드Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
https://github.com/jr2021/ManyFairHPO-AIES
공식 코드https://github.com/jrl-98/live-deskewing
공식 코드https://github.com/juliagni/geometricmachinelearning.jl
공식 코드Generalizing Adam to Manifolds for Efficiently Training Transformers
https://github.com/jurgisp/memory-maze
공식 코드https://github.com/jw9603/logical_fallacy
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/kailasdayanandan/dual_thinking
공식 코드https://github.com/kaistAI/LangBridge
공식 코드LangBridge: Multilingual Reasoning Without Multilingual Supervision
https://github.com/kamwoh/dreamcreature
공식 코드DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination
https://github.com/kangmintong/r-2-guard
공식 코드$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
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/kasmasvan/poe
공식 코드https://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/keyonvafa/world-model-evaluation
공식 코드https://github.com/kjh9503/caqr
공식 코드https://github.com/kmineshima/neubaroco
공식 코드https://github.com/koenecke/auditing_asr_aphasia
공식 코드https://github.com/kojima-takeshi188/zero_shot_cot
공식 코드https://github.com/kracr/document-level-relation-extraction
공식 코드Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction
https://github.com/kreimanlab/VariationalPrototypeReplaysCL
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.