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Large Language Model
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jrbn/vlog
공식 코드Column-Oriented Datalog Materialization for Large Knowledge Graphs (Extended Technical Report)
https://github.com/jsalt2024-evaluating-llms-for-astronomy/astro-arxiv-bot
공식 코드Designing an Evaluation Framework for Large Language Models in Astronomy Research
https://github.com/jshilong/gpt4roi
공식 코드GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
https://github.com/jtonglet/seer
공식 코드SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
https://github.com/julia-liuj/nlft
공식 코드https://github.com/juliagast/tgb2
공식 코드TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
https://github.com/juliagrosse/ults
공식 코드Uncertainty-Guided Optimization on Large Language Model Search Trees
https://github.com/juliancodaforno/cogbench
공식 코드CogBench: a large language model walks into a psychology lab
https://github.com/jumbo110/eurekha
공식 코드EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums
https://github.com/junewang0614/colarec
공식 코드Content-Based Collaborative Generation for Recommender Systems
https://github.com/jungjee/augsumm
공식 코드AugSumm: towards generalizable speech summarization using synthetic labels from large language model
https://github.com/junkangwu/DisenKGAT
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/just-curieous/curie
공식 코드Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents
https://github.com/justinhjy1004/fairuselegalbot
공식 코드Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use
https://github.com/juyeonnn/kgmel
공식 코드https://github.com/jvladika/ContextRAG
공식 코드On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems
https://github.com/jwentong/wirelessagent_r1
공식 코드WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
https://github.com/jwh97nn/anyref
공식 코드Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
https://github.com/jwoongkim11/qa-rag
공식 코드From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process
https://github.com/jwzhanggy/Graph_Toolformer
공식 코드Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
https://github.com/jxtse/GEC-Metrics-DSGram
공식 코드https://github.com/jxuanc/mindgpt
공식 코드MindGPT: Interpreting What You See with Non-invasive Brain Recordings
https://github.com/jy0205/lavit
공식 코드Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
https://github.com/jyfang6/trace
공식 코드https://github.com/jyfenggogo/instructdet
공식 코드InstructDET: Diversifying Referring Object Detection with Generalized Instructions
https://github.com/jzk00/tv-sam
공식 코드https://github.com/k-rlange/t2snarrativechanges
공식 코드Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
https://github.com/kabongosalomon/task-dataset-metric-nli-extraction
공식 코드https://github.com/kadkhodaei-research-group/GScarceLLM
공식 코드https://github.com/kaguraruri/psy-eval
공식 코드PsyEval: A Suite of Mental Health Related Tasks for Evaluating Large Language Models
https://github.com/kaifronsdal/self-reasoning-evals
공식 코드MISR: Measuring Instrumental Self-Reasoning in Frontier Models
https://github.com/kaike-zhang/lorec
공식 코드LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks
https://github.com/kairong-han/causal_agent
공식 코드https://github.com/kaistAI/Janus
공식 코드Aligning to Thousands of Preferences via System Message Generalization
https://github.com/kaistAI/Prometheus
공식 코드Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.