https://github.com/lbox-kr/nestle
공식 코드NESTLE: a No-Code Tool for Statistical Analysis of Legal Corpus
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/lbynum/sequence-driven-scms
공식 코드https://github.com/lchen001/llmdrift
공식 코드https://github.com/lcs0215/oraclefusion
공식 코드https://github.com/lcy80366872/knowledgeable-r1
공식 코드Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation
https://github.com/ldilab/ecorag
공식 코드ECoRAG: Evidentiality-guided Compression for Long Context RAG
https://github.com/ldos-project/tracellm
공식 코드Large Language Models as Realistic Microservice Trace Generators
https://github.com/ldzhangyx/loop-copilot
공식 코드Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing
https://github.com/leafmonkeylabs/semantix
공식 코드Meaning Typed Prompting: A Technique for Efficient, Reliable Structured Output Generation
https://github.com/leeeeoliu/llm-crs
공식 코드https://github.com/leezekun/dialogic
공식 코드https://github.com/leezekun/macrag
공식 코드MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG
https://github.com/leililab/infinisst
공식 코드InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model
https://github.com/leililab/rare
공식 코드RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems
https://github.com/leirunlin/text-level-graph-attack
공식 코드Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
https://github.com/lemingshen/GPIoT
공식 코드GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
https://github.com/leon1207/video-rag-master
공식 코드Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
https://github.com/leslie071564/big5-llm-negotiator
공식 코드How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models
https://github.com/lezhang7/moqagpt
공식 코드MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
https://github.com/lezhang7/rearank
공식 코드REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
https://github.com/lfsszd/cs-drafting
공식 코드https://github.com/lgalke/easy2deeplearn
공식 코드https://github.com/li-hyn/llm_catastrophicforgetting
공식 코드Revisiting Catastrophic Forgetting in Large Language Model Tuning
https://github.com/li-z-q/structrag
공식 코드https://github.com/li001029/Medical_LLM_ASR
공식 코드Searching for Best Practices in Medical Transcription with Large Language Model
https://github.com/lianjiatech/belle
공식 코드https://github.com/liano3/RAG-fairness
공식 코드The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation
https://github.com/lianshumin576/mloandmcts
공식 코드Intelligent Channel Allocation for IEEE 802.11be Multi-Link Operation: When MAB Meets LLM
https://github.com/lightblue-tech/aloftrag
공식 코드ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation
https://github.com/lihaoxin2020/summarization-based-document-ids-for-generative-retrieval
공식 코드Summarization-Based Document IDs for Generative Retrieval with Language Models
https://github.com/lijiabei-7/leccr
공식 코드https://github.com/lijiazheng99/aera
공식 코드Distilling ChatGPT for Explainable Automated Student Answer Assessment
https://github.com/lijlansg/trafficgpt
공식 코드TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models
https://github.com/likaiucas/obm
공식 코드Extracting polygonal footprints in off-nadir images with Segment Anything Model
https://github.com/limanwang/balancing-rigor-and-utility
공식 코드https://github.com/lin000001/Legilimens
공식 코드Legilimens: Practical and Unified Content Moderation for Large Language Model Services
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.