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

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Showing 411–420 of 1135 papers

TitleStatusHype
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation DataCode2
Multimodal Situational Safety—0
Aria: An Open Multimodal Native Mixture-of-Experts ModelCode5
TOWER: Tree Organized Weighting for Evaluating Complex Instructions—0
Superficial Safety Alignment Hypothesis—0
A Recipe For Building a Compliant Real Estate ChatbotCode1
On Instruction-Finetuning Neural Machine Translation Models—0
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References—0
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe—0
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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