https://github.com/nico-koltermann/contextual-evolution-of-heuristics
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
Papers with Code 아카이브
Inductive knowledge graph completion
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nineabyss/zerog
A Survey of Graph Meets Large Language Model: Progress and Future Directions
https://github.com/niyunsheng/ems-sd
Inference with Reference: Lossless Acceleration of Large Language Models
https://github.com/njunlp/mcsd
https://github.com/njunlp/mmt-llm
https://github.com/nlpodyssey/rwkv.f90
Accelerating Large Language Model Decoding with Speculative Sampling
https://github.com/nonslowrunner/Visualdialogs
https://github.com/nus-hpc-ai-lab/opendit
https://github.com/ojiyumm/mt_bench_rwkv
https://github.com/onlplab/rvs
Into the Unknown: Generating Geospatial Descriptions for New Environments
https://github.com/oootttyyy/webarena
Hierarchical Prompting Assists Large Language Model on Web Navigation
https://github.com/open-dataflow/rare
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/open-finance-lab/finlora
https://github.com/open-thoughts/open-thoughts
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
https://github.com/openbmb/minicpm-v
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
https://github.com/opendatalab/pm4bench
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
https://github.com/opengvlab/internvl-mmdetseg
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
https://github.com/opengvlab/multi-modality-arena
https://github.com/openlmlab/moss
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/openmoss/moss
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/opennlplab/lightning-attention
TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer
https://github.com/openrobotlab/pointllm
https://github.com/optml-group/unlearn-smooth
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
https://github.com/owennju/mmt-llm
https://github.com/parajain/structscribe
Scalable Micro-planned Generation of Discourse from Structured Data
https://github.com/parkererickson/crunchBaseGraph
https://github.com/patrickpynadath1/automatic_cyclical_sampling
Controlled LLM Decoding via Discrete Auto-regressive Biasing
https://github.com/peizeli96/MHys
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
https://github.com/pengfeiliheu/m2i2
PathVQA: 30000+ Questions for Medical Visual Question Answering
https://github.com/pengfeiliheu/mumc
PathVQA: 30000+ Questions for Medical Visual Question Answering
https://github.com/phbst/tinyrag
Retrieval-Augmented Generation for Large Language Models: A Survey
https://github.com/phellonchen/x-llm
https://github.com/phunterlau/paper_without_code/tree/main/examples/PoG/
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
https://github.com/phunterlau/paper_without_code/tree/main/examples/community-rag
https://github.com/pkd667/political-alignment
https://github.com/pku-aicare/colacare
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.