https://github.com/zhrli324/argus
공식 코드Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhrli324/corba
공식 코드CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
https://github.com/zhuangshaobin/vlogger
공식 코드https://github.com/zhudotexe/redel
공식 코드ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
https://github.com/zhuole1025/LyricWhiz
공식 코드LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
https://github.com/zhuqianglu/b-vllm
공식 코드B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens
https://github.com/zhzihao/wikigenbench
공식 코드WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario
https://github.com/zhziszz/weak-to-strong-search
공식 코드Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
https://github.com/zibinpan/mollm
공식 코드https://github.com/zilin-huang/HAIM-DRL
공식 코드https://github.com/ziyuguo99/point-bind_point-llm
공식 코드https://github.com/zjlab-ammi/llm4teach
공식 코드Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
https://github.com/zjr2000/llmva-gebc
공식 코드LLMVA-GEBC: Large Language Model with Video Adapter for Generic Event Boundary Captioning
https://github.com/zju-daily/aistorian
공식 코드AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation
https://github.com/zju-vipa/odyssey
공식 코드https://github.com/zjukg/conferenceqa
공식 코드Reliable Academic Conference Question Answering: A Study Based on Large Language Model
https://github.com/zjukg/kopa
공식 코드Making Large Language Models Perform Better in Knowledge Graph Completion
https://github.com/zjumai/evopatient
공식 코드LLMs Can Simulate Standardized Patients via Agent Coevolution
https://github.com/zjunlp/DeepKE/tree/main/example/llm
공식 코드How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
https://github.com/zjunlp/deepke
공식 코드How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
https://github.com/zjunlp/easyedit
공식 코드EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
https://github.com/zjunlp/knowlm
공식 코드https://github.com/zjunlp/onegen
공식 코드OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
https://github.com/zjunlp/trice
공식 코드Making Language Models Better Tool Learners with Execution Feedback
https://github.com/zl-liu/radiation-oncology-nlp-database
공식 코드https://github.com/zodiark-ch/masters-of-our-emnlp2023-papers
공식 코드Learning a Structural Causal Model for Intuition Reasoning in Conversation
https://github.com/zoeyyes/confact
공식 코드Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
https://github.com/zomss/garag
공식 코드https://github.com/zorazrw/agent-workflow-memory
공식 코드https://github.com/zou-group/avatar
공식 코드AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
https://github.com/zou-yawen/dataset-distillation-via-vision-language-category-prototype
공식 코드https://github.com/zrporz/4DLangSplat
공식 코드4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
https://github.com/zrrskywalker/mavis
공식 코드MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
https://github.com/zxccade/shine
공식 코드SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding
https://github.com/zyf0619sjtu/DreamLIP
공식 코드https://github.com/zyloveslego/LLMCheck
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.