https://github.com/yiqingxyq/doclens
공식 코드DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation
Papers with Code 아카이브
Instruction Following
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Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yiyangzhou/povid
공식 코드Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
https://github.com/yizhongw/self-instruct
공식 코드Self-Instruct: Aligning Language Models with Self-Generated Instructions
https://github.com/yjiangcm/followbench
공식 코드FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
https://github.com/yjiangcm/lion
공식 코드Lion: Adversarial Distillation of Proprietary Large Language Models
https://github.com/yjiangcm/webr
공식 코드Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
https://github.com/yonseivnl/mcr-agent
공식 코드Multi-Level Compositional Reasoning for Interactive Instruction Following
https://github.com/ys-zong/foolyourvllms
공식 코드Fool Your (Vision and) Language Model With Embarrassingly Simple Permutations
https://github.com/ys-zong/vlguard
공식 코드Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models
https://github.com/ytf-philp/self-powered-lsm
공식 코드Self-Powered LLM Modality Expansion for Large Speech-Text Models
https://github.com/ythuang02/R2J
공식 코드Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction
https://github.com/ytyz1307zzh/IHEval
공식 코드IHEval: Evaluating Language Models on Following the Instruction Hierarchy
https://github.com/ytyz1307zzh/plug
공식 코드PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning
https://github.com/yubol-cmu/awesome-multi-turn-llms
공식 코드Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models
https://github.com/yueen-ma/awesome-vla
공식 코드https://github.com/yule-BUAA/MergeLLM
공식 코드Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement
https://github.com/yule-buaa/mergelm
공식 코드Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
https://github.com/yuleiqin/raif
공식 코드Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models
https://github.com/yummy416/adappa
공식 코드AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs
https://github.com/yuqifan1117/hallucidoctor
공식 코드HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
https://github.com/yutongwang1216/reflectionllmmt
공식 코드TasTe: Teaching Large Language Models to Translate through Self-Reflection
https://github.com/yzjiao/on-demand-ie
공식 코드Instruct and Extract: Instruction Tuning for On-Demand Information Extraction
https://github.com/zackschen/coin
공식 코드CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
https://github.com/zh-wang-med/llm-rg4
공식 코드LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts
https://github.com/zhang-yu-wei/inbedder
공식 코드Answer is All You Need: Instruction-following Text Embedding via Answering the Question
https://github.com/zhanyang-nwpu/skyeyegpt
공식 코드https://github.com/zhaochenyang20/Prompt2Model-Self-Guide
공식 코드SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning
https://github.com/zheng0428/coig-kun
공식 코드Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation
https://github.com/zhentingqi/rag-privacy
공식 코드https://github.com/zhenwen-nlp/mathchat
공식 코드MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
https://github.com/zhukerui/graph-instruction-tuning
공식 코드Investigating Instruction Tuning Large Language Models on Graphs
https://github.com/zhwl2117/InstructCIR
공식 코드Compositional Image Retrieval via Instruction-Aware Contrastive Learning
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/zillow/compliant-real-estate-chatbot
공식 코드https://github.com/ziyuguo99/point-bind_point-llm
공식 코드https://github.com/zjunlp/instructcell
공식 코드A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.