SOTAVerified

Instruction Following

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.

Papers

Showing 101110 of 1135 papers

TitleStatusHype
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language ModelsCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchCode2
Autonomous Improvement of Instruction Following Skills via Foundation ModelsCode2
Aligning Modalities in Vision Large Language Models via Preference Fine-tuningCode2
Large Language Model Instruction Following: A Survey of Progresses and ChallengesCode2
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to ImitateCode2
A Critical Evaluation of AI Feedback for Aligning Large Language ModelsCode2
AutoDefense: Multi-Agent LLM Defense against Jailbreak AttacksCode2
Show:102550
← PrevPage 11 of 114Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified