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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 581–590 of 1135 papers

TitleStatusHype
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackCode7
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM FinetuningCode3
Comparison Visual Instruction Tuning—0
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models—0
TasTe: Teaching Large Language Models to Translate through Self-ReflectionCode1
OPTune: Efficient Online Preference Tuning—0
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent CooperationCode0
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward—0
Show:102550
← PrevPage 59 of 114Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified