https://github.com/moonwalker1997/vsannkgalignment
공식 코드Aligning Knowledge Graphs Provided by Humans and Generated from Neural Networks in Specific Tasks
Papers with Code 아카이브
Logical Reasoning
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/moqingyan/dsr-lm
공식 코드Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
https://github.com/mrzihan/dynam3d
공식 코드Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation
https://github.com/mrzihan/gridmm
공식 코드https://github.com/mrzihan/hnr-vln
공식 코드Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation
https://github.com/mszuyx/mosts
공식 코드https://github.com/mthcom/hscore-dataset-pruning
공식 코드Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models
https://github.com/mugen-org/MUGEN_baseline
공식 코드MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
https://github.com/muyehuang/chartsketcher
공식 코드ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
https://github.com/mweiss17/SEVN
공식 코드Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
https://github.com/mwydmuch/ViZDoom
공식 코드https://github.com/my-name-is-D/high_level_nav_planning
공식 코드https://github.com/nabormendonca/gpt-4v-enade-cs-2021
공식 코드Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science Exam
https://github.com/nardien/kard
공식 코드Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
https://github.com/navidmdn/logic_based_qa
공식 코드https://github.com/nayanadasgupta/understanding_punishment_in_mas_with_rl
공식 코드https://github.com/negar-foroutan/multilingual-code-switched-reasoning
공식 코드Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention
https://github.com/neuralgraphdatabases/awesome-logical-query
공식 코드Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
https://github.com/neuralmind-ai/visconde
공식 코드https://github.com/neuralsentinel/culturalkaleidoscope
공식 코드Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models
https://github.com/neuro-ai-robotics/OBR
공식 코드Object-centric proto-symbolic behavioural reasoning from pixels
https://github.com/neuroai-workshop-anon-1224113/working-memory-facilitating-reservoir-learning
공식 코드Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks
https://github.com/newmanne/open_spiel
공식 코드Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
https://github.com/nhchristianson/Math-text-semantic-networks
공식 코드Architecture and evolution of semantic networks in mathematics texts
https://github.com/nii-cl/qa-text-source-comparison
공식 코드https://github.com/nikeke19/safe-mult-rl
공식 코드A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
https://github.com/ningwang2049/laiar
공식 코드https://github.com/nju-websoft/adalogn
공식 코드AdaLoGN: Adaptive Logic Graph Network for Reasoning-Based Machine Reading Comprehension
https://github.com/njunlp/id-ockr
공식 코드Large Language Models are Limited in Out-of-Context Knowledge Reasoning
https://github.com/nl2g/quaterly-arxiv
공식 코드NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?
https://github.com/nnzhan/Graph-WaveNet
공식 코드https://github.com/nono-111/llm-based-multi-conversational-agent
공식 코드https://github.com/ntunlp/kmlm
공식 코드Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
https://github.com/nubot-nudt/doss
공식 코드A Novel Decomposed Feature-Oriented Framework for Open-Set Semantic Segmentation on LiDAR Data
https://github.com/numenta/htmpapers/tree/master/bmvc/grid_cell_path_integration_for_movement_based_visual_object_recognition
공식 코드Grid Cell Path Integration For Movement-Based Visual Object Recognition
https://github.com/nuric/deeplogic
공식 코드DeepLogic: Towards End-to-End Differentiable Logical Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.