https://github.com/xavierpuigf/watch_and_help
공식 코드Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
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/xbmxb/EnvDistraction
공식 코드Caution for the Environment: Multimodal Agents are Susceptible to Environmental Distractions
https://github.com/xgenerationlab/xiyan_mcp_server
공식 코드https://github.com/xiami2019/UAR
공식 코드https://github.com/xianjun-yang/pllama
공식 코드PLLaMa: An Open-source Large Language Model for Plant Science
https://github.com/xianjun-yang/quokka
공식 코드Quokka: An Open-source Large Language Model ChatBot for Material Science
https://github.com/xiaoduoailab/xmodel-2
공식 코드https://github.com/xiaoman-zhang/PMC-VQA
공식 코드PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
https://github.com/xiaomi/subllm
공식 코드SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
https://github.com/xiaomimimo/mimo
공식 코드MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
https://github.com/xiaoqian-shen/StoryGPT-V
공식 코드StoryGPT-V: Large Language Models as Consistent Story Visualizers
https://github.com/xiaowu0162/longmemeval
공식 코드LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
https://github.com/xiaoxinhe/g-retriever
공식 코드G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
https://github.com/xieyangxinyu/wildfiregpt
공식 코드A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
https://github.com/xingbow/sleephealthLLM
공식 코드https://github.com/xingwei-warwick/callmsae
공식 코드Cascading Large Language Models for Salient Event Graph Generation
https://github.com/xingyaoww/code-act
공식 코드https://github.com/xingyaoww/code4struct
공식 코드Code4Struct: Code Generation for Few-Shot Event Structure Prediction
https://github.com/xinhaomei/wavcaps
공식 코드https://github.com/xinke-wang/modaverse
공식 코드https://github.com/xinzhel/grammar
공식 코드https://github.com/xinzhel/llm-agent-survey
공식 코드https://github.com/xiye17/textualexplincontext
공식 코드The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
https://github.com/xlang-ai/arks
공식 코드https://github.com/xlang-ai/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
https://github.com/xllyu-nlp/docia
공식 코드DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation
https://github.com/xmudm/dqabench
공식 코드Revolutionizing Database Q&A with Large Language Models: Comprehensive Benchmark and Evaluation
https://github.com/xsc1234/info-rag
공식 코드https://github.com/xsc1234/search-in-the-chain
공식 코드https://github.com/xu737/PeFAD
공식 코드PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
https://github.com/xuanren4470/i-learn-better-if-you-speak-my-language
공식 코드https://github.com/xud-yan/Trident
공식 코드Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
https://github.com/xueyangfeng/rehac
공식 코드Large Language Model-based Human-Agent Collaboration for Complex Task Solving
https://github.com/xunguangwang/instructta
공식 코드InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
https://github.com/xuzhao0/model-selection-reasoning
공식 코드Automatic Model Selection with Large Language Models for Reasoning
https://github.com/xyin-anl/Nodeology
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.