https://github.com/rymarinelli/leaking_lora
공식 코드Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
- 4
- 보존된 평가 기록
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A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ryuichi-sumida/lufy
공식 코드https://github.com/ryuryukke/HowYouPromptMatters
공식 코드https://github.com/ryuryukke/OUTFOX
공식 코드https://github.com/ryutaro-a/sumrec
공식 코드SumRec: A Framework for Recommendation using Open-Domain Dialogue
https://github.com/s-nlp/konstruktor
공식 코드Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering
https://github.com/s-nlp/s3
공식 코드S3: A Simple Strong Sample-effective Multimodal Dialog System
https://github.com/s-vigneshwaran/revisiting-the-classics
공식 코드https://github.com/s222416822/llmqfl
공식 코드LLM-QFL: Distilling Large Language Model for Quantum Federated Learning
https://github.com/sa4s-serc/llm4adr
공식 코드https://github.com/sa5r/kgrp
공식 코드Knowledge Graph Completion using Structural and Textual Embeddings
https://github.com/saccharomycetes/text-based-traffic
공식 코드Utilizing Background Knowledge for Robust Reasoning over Traffic Situations
https://github.com/saccharomycetes/text-based-traffic-understanding
공식 코드https://github.com/sai990323/tallrec
공식 코드https://github.com/saifkhichi96/situational-llm
공식 코드SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance
https://github.com/sail-sg/agent-smith
공식 코드Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
https://github.com/sail-sg/regmix
공식 코드RegMix: Data Mixture as Regression for Language Model Pre-training
https://github.com/sajqavril/Code-Repo-for-R-GCN-Auto-Encoder
공식 코드Type Information-Assisted Self-Supervised Knowledge Graph Denoising
https://github.com/sakanaai/edinet-bench
공식 코드EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
https://github.com/sakanaai/edinet2dataset
공식 코드EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
https://github.com/sakura-not-sleep/ca_fvd
공식 코드Consistency-aware Fake Videos Detection on Short Video Platforms
https://github.com/salanueva/CBM
공식 코드Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question Answering
https://github.com/salehiac/languagegroundedqd
공식 코드Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
https://github.com/salesforce/CodeGen
공식 코드CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/salesforce/MultiHopKG
공식 코드https://github.com/salesforce/diversesumm
공식 코드https://github.com/salesforce/jaxformer
공식 코드CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/salesforce/summary-of-a-haystack
공식 코드Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
https://github.com/salesforceairesearch/agentlite
공식 코드AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
https://github.com/salesforceairesearch/answer-engine-eval
공식 코드Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
https://github.com/salesforceairesearch/contextualjudgebench
공식 코드Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
https://github.com/salesforceairesearch/faitheval
공식 코드https://github.com/salesforceairesearch/jetts-benchmark
공식 코드https://github.com/sallmanm/synsim
공식 코드https://github.com/salt-nlp/chain-of-thought-bias
공식 코드On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
https://github.com/salt-nlp/dylan
공식 코드A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.